1,711 Analytics Tools jobs in the United States

Software Engineer - Data Analytics & Tools

94306 Palo Alto, California 1X Technologies AS

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Start date: As soon as possible Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. We strive for excellence in all we do, solving some of the hardest problems in robotics with the world’s most talented individuals. Every part of our robots is designed and produced in-house—from motor coils to AI—reflecting our vertically integrated approach. At 1X, you’ll own real projects, be recognized for your achievements, and rewarded based on merit. We believe the best work is done when collaborating and therefore require in-person presence in our office locations. We are seeking a highly skilled Software Developer with deep expertise in database development, data analysis, and data analytics tool creation. In this role, you will be responsible for integrating and normalizing data from diverse sources, building performant data pipelines, and creating powerful visualization tools (Power BI, Tableau, custom dashboards) that enable precise decision-making, progress tracking, and issues management across the organization. Why this job is exciting Shape data infrastructure and analytics tools critical to the future of humanoid robotics Build decision intelligence systems that drive real-world outcomes for 50+ DoF biped robots In time, your work will support thousands of robots operating safely in dynamic environments Responsibilities Design, develop, and optimize manufacturing and supply chain databases, data warehouses, and ETL pipelines to integrate data from diverse sources Architect data models and normalization strategies to ensure consistency, accuracy, and usability Build and maintain analytics and visualization tools using Power BI, Tableau, and custom dashboards Collaborate with manufacturing, supply chain, and engineering teams to define KPIs and reporting solutions Develop systems for tracking progress against schedules, forecasting capacity, and managing risks Optimize queries and database performance for large-scale datasets Implement data governance, security, and quality control mechanisms Requirements 5+ years developing databases, data pipelines, and analytics tools Strong expertise in SQL and Python (Pandas, SQLAlchemy) Proficiency with Power BI and Tableau for dashboards, KPIs, and data storytelling Experience integrating data from ERP, MES, and SCM systems as well as relational (PostgreSQL, MySQL, MS SQL Server) and NoSQL (MongoDB, Redis) databases Solid understanding of data modeling, normalization, and database design Familiarity with cloud data platforms (Azure, AWS, GCP) and services (Redshift, BigQuery, Snowflake) Strong analytical and problem-solving skills Excellent communication abilities with both technical and non-technical stakeholders Nice-to-haves Experience with CI/CD for data solutions Proficiency in DAX, M, or other data transformation languages Exposure to machine learning or advanced analytics Background in domains requiring high-precision operational decision-making (i.e. manufacturing, logistics, supply chain, automotive, robotics, aerospace) Location Policy We believe the best work is done when collaborating and therefore require in-person presence in our office locations. Not sure if this is you? If you’re excited about 1X and this role but not sure if you qualify, apply anyway! You may be the right candidate for this or other roles. 1X is an inclusive and equal-opportunity employer that values diversity. We consider all qualified applicants regardless of race, religion, gender, age, sexual orientation, disability, or any other protected class. If you have a disability or special need that requires accommodation, please let us know. We will do our best to accommodate your needs. We're excited to get to know you and the prospect of having you on board! #J-18808-Ljbffr

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Software Engineer - Data Analytics & Tools

94306 Palo Alto, California Halodi Robotics

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Start date: As soon as possible Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. We strive for excellence in all we do, solving some of the hardest problems in robotics with the world’s most talented individuals. Every part of our robots is designed and produced in-house—from motor coils to AI—reflecting our vertically integrated approach. At 1X, you’ll own real projects, be recognized for your achievements, and rewarded based on merit. We believe the best work is done when collaborating and therefore require in-person presence in our office locations. We are seeking a highly skilled Software Developer with deep expertise in database development, data analysis, and data analytics tool creation. In this role, you will be responsible for integrating and normalizing data from diverse sources, building performant data pipelines, and creating powerful visualization tools (Power BI, Tableau, custom dashboards) that enable precise decision-making, progress tracking, and issues management across the organization. Why this job is exciting Shape data infrastructure and analytics tools critical to the future of humanoid robotics Build decision intelligence systems that drive real-world outcomes for 50+ DoF biped robots In time, your work will support thousands of robots operating safely in dynamic environments Responsibilities Design, develop, and optimize manufacturing and supply chain databases, data warehouses, and ETL pipelines to integrate data from diverse sources Architect data models and normalization strategies to ensure consistency, accuracy, and usability Build and maintain analytics and visualization tools using Power BI, Tableau, and custom dashboards Collaborate with manufacturing, supply chain, and engineering teams to define KPIs and reporting solutions Develop systems for tracking progress against schedules, forecasting capacity, and managing risks Optimize queries and database performance for large-scale datasets Implement data governance, security, and quality control mechanisms Requirements 5+ years developing databases, data pipelines, and analytics tools Strong expertise in SQL and Python (Pandas, SQLAlchemy) Proficiency with Power BI and Tableau for dashboards, KPIs, and data storytelling Experience integrating data from ERP, MES, and SCM systems as well as relational (PostgreSQL, MySQL, MS SQL Server) and NoSQL (MongoDB, Redis) databases Solid understanding of data modeling, normalization, and database design Familiarity with cloud data platforms (Azure, AWS, GCP) and services (Redshift, BigQuery, Snowflake) Strong analytical and problem-solving skills Excellent communication abilities with both technical and non-technical stakeholders Nice-to-haves Experience with CI/CD for data solutions Proficiency in DAX, M, or other data transformation languages Exposure to machine learning or advanced analytics Background in domains requiring high-precision operational decision-making (i.e. manufacturing, logistics, supply chain, automotive, robotics, aerospace) Location Policy We believe the best work is done when collaborating and therefore require in-person presence in our office locations. Not sure if this is you? If you’re excited about 1X and this role but not sure if you qualify, apply anyway! You may be the right candidate for this or other roles. 1X is an inclusive and equal-opportunity employer that values diversity. We consider all qualified applicants regardless of race, religion, gender, age, sexual orientation, disability, or any other protected class. If you have a disability or special need that requires accommodation, please let us know. We will do our best to accommodate your needs. We're excited to get to know you and the prospect of having you on board! #J-18808-Ljbffr

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Data Science Manager, Revenue Growth Analytics, Research & Tools

60684 Chicago, Illinois McDonald's

Posted 1 day ago

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Job Description:
Company Description:
McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.
At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.
Job Description
We are seeking a highly skilled and authority Data Science Manager to join our team. This role will support revenue growth strategies by demonstrating time series modeling, machine learning, and optimization techniques
Responsibilities
+ Implement sophisticated analytics models, including price/promotion optimization, segmentation, and demand modeling.
+ Collaborate with cross-functional teams to ensure revenue growth strategies align with business goals and market conditions.
+ Supervise key business critical metrics and regularly present findings, insights, and recommendations to senior leadership to drive strategic decision-making.
+ Work closely with data engineering and IT teams to ensure the scalability and adaptability of models and tools
Qualifications
+ Bachelor's or Master's degree or equivalent experience in a quantitative field such as Economics, Statistics, Data Science, Mathematics, or a related field
+ Proven 5+ years of experience in pricing, data science, or related fields
+ Strong expertise in statistical modeling and machine learning
+ Proficiency in programming languages such as Python, SAS, or SQL and experience with data visualization tools
+ Understanding of price optimization techniques, demand modeling, and forecasting.
+ Experience with controlled experiments (A/B testing) and test-and-learn methodologies in a commercial context.
+ Excellent communications, interpersonal and time management skill
Compensation
Bonus Eligible: YES
Long - Term Incentive: YES
Benefits Eligible: YES
Salary Range
The expected salary range for this role is $129,800 - $165,490 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 954
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Head of HR Analytics, Planning & Tools (m/w/d)

55322 Northfield, Minnesota ZipRecruiter

Posted 8 days ago

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Job Description Ort: 50933 Köln | Vertragsart: Voll-/Teilzeit, unbefristet | Job-ID: 902021 Was wir zusammen vorhaben: Datengetriebene HR-Arbeit ist kein Zukunftsthema – sie ist bei uns gelebte Realität.Unsere Mission ist es, HR strategisch mit Daten, Modellen und Tools zu stärken und Impulse für die gesamte REWE Group zu setzen. Als Head of HR Analytics, Planning & Tools bist du der zentrale Sparringspartner für unser Top-Management – mit Analysen, Simulationen und Reports, die wirklich etwas bewegen. Was du bei uns bewegst: Du verbindest HR-Daten mit Business-Zielen und generierst daraus Insights mit echtem Mehrwert – heute und für die Zukunft. Du präsentierst deine Ergebnisse auf Vorstandsebene und verankerst sie nachhaltig in den Geschäftsprozessen. Gemeinsam mit den strategischen Geschäftseinheiten entwickelst du datenbasierte Strategien, identifizierst neue Use Cases und gestaltest die HR-Strategie aktiv mit. Du führst dein rund 20-köpfiges Team in die agile Arbeitswelt – als strategische:r Partner:in, Berater:in und Innovationstreiber:in. Du übernimmst die Verantwortung für das HR-Standardreporting und entwickelst es konsequent weiter – mit Fokus auf Automatisierung, Nutzerfreundlichkeit und Serviceorientierung. Du bringst HR Analytics auf das nächste Level und machst datenbasierte Entscheidungen zur gelebten Praxis – in HR und darüber hinaus. Du entwickelst die Personalkostenplanung weiter und baust moderne Planungsprozesse auf – fundiert, digital und skalierbar. Du arbeitest am Fundament: Dein Verantwortungsbereich umfasst leistungsfähige Dateninfrastruktur, zukunftsfähige Datenmodelle sowie eine saubere Qualität. Du vernetzt dich unternehmensweit mit Digital-, Data- und Controlling-Teams – gemeinsam treiben wir datengetriebene Entscheidungen voran. Was uns überzeugt: Du kannst nicht nur mit Zahlen, sondern auch gut mit Menschen umgehen? Als messerscharfe:r Analytiker:in fällt es dir leicht, dich sowohl in komplexe Sachverhalte einzudenken als auch diese später unterschiedlichen Zielgruppen gegenüber zu präsentieren. Das bringst du dafür mit: Mehrjährige Führungserfahrung, strategischer Weitblick und Leidenschaft für Daten. Ein abgeschlossenes Hochschulstudium, idealerweise ein Master in Betriebswirtschaft, Informatik, Naturwissenschaften oder ähnlichem. 5–10 Jahre Berufserfahrung in HR Analytics, HR-IT, Data Science, Controlling oder Beratung. Erfahrung in der Leitung komplexer, unternehmensweiter Projekte. Souveränes Auftreten auf Top-Management-Level, gepaart mit Kommunikations- und Präsentationsstärke. Fundierte Kenntnisse in SAP HR, SAP Datasphere und SAP Analytics Cloud (SAC) sowie idealerweise Erfahrung mit der Einführung und dem Zusammenspiel von Non-SAP BI-Tools. Sehr gute Excel-Kenntnisse und ein tiefes Verständnis für Datenarchitekturen und Schnittstellen runden dein Profil ab. Idealerweise bringst du Erfahrung mit SQL, der Google Cloud Platform sowie modernen Tools und Technologien aus dem Analytics- und Data-Science-Umfeld mit, bspw. Python, R oder vergleichbare Frameworks. Verständnis für HR-Prozesse, betriebswirtschaftliche Zusammenhänge und nutzerfreundliches IT-Design zeichnen dich aus. Zu guter Letzt: Dich begeistert es, dein Team weiterzuentwickeln und echte Veränderungen zu gestalten. Was wir bieten: Die REWE Group als einer der größten Handels- und Touristikkonzerne Europas bietet einzigartige Voraussetzungen für alle, die etwas bewegen wollen. Entdecke einen lebensnahen Arbeitgeber, der dir Vertrauen schenkt, Gestaltungsfreiräume ermöglicht und durch flexible Strukturen Innovationen und frische Ideen fördert. Wer bei uns arbeitet und viel bewegt, darf auch viel erwarten: Attraktive Vergütung: Mit Sonderleistungen wie Urlaubs- und Weihnachtsgeld, vermögenswirksamen Leistungen, betrieblicher Altersvorsorge Zuschüssen für Kantine und vergünstigtes Deutschlandticket sowie Vorteilen beim Fahrrad-Leasing. Mitarbeitendenrabatt: Bei REWE, PENNY, toom Baumarkt und DERTOUR. Work-Life-Balance: Mit flexibler Arbeitszeit ohne Kernzeiten, Homeoffice, Auszeitmodellen, Betriebskindergärten, Unterstützung bei der Suche nach Kinderbetreuung und Pflege. Persönliche Weiterbildung: Mit umfassenden Seminarangeboten, fachspezifischen Akademien und E-Learnings. Gesundheitsmanagement: Mit Vorsorgeuntersuchungen, Sport- und Gesundheitskursen. Vernetzt: Unternehmensweite Netzwerke der REWE Group, wie z. B. unser LGBTIQ-Netzwerk „DITO – different together“ und das Frauennetzwerk „f.ernetzt“ für den Austausch rund um Karriere und persönliche Weiterentwicklung. Weitere Informationen erhältst du unter jobs.rewe-group.com. Wir freuen uns auf deine Online-Bewerbung mit Angabe deiner Verfügbarkeit und Gehaltsvorstellung. Bewerbungsunterlagen in Papierform können wir leider nicht zurücksenden. Du hast Fragen zu dieser Position (Job-ID: 902021)? Dann melde dich bei unserer Bewerbungshotline unter 0221 149-7110 . Wir betonen ausdrücklich, dass bei uns alle Menschen - unabhängig von /geschlechtlicher Identität, ethnischer Herkunft und Nationalität, sozialer Herkunft, /Weltanschauung, körperlicher und geistiger Fähigkeiten, sowie sexueller oder weiterer individueller Merkmale - gleichermaßen willkommen sind. JBRP1_DE #J-18808-Ljbffr

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Analyst, Data Visualization & Business Intelligence

33222 Miami, Florida Royal Caribbean Group

Posted 9 days ago

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Job Description

This position is on - site in our Royal Caribbean Miami 1050 Building

Journey with us! Combine your career goals and sense of adventure by joining our incredible team of employees at Royal Caribbean Group . We are proud to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

We are proud to be the vacation-industry leader with global brands - including Royal Caribbean International, Celebrity Cruises and Silversea Cruises - the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

Royal Caribbean team has an exciting career opportunity for a full-time Analyst, Data Visualization and Business Intelligence reporting to the Sr Manager, Business Intelligence.

Position Summary

Responsibilities include the design, implementation, and development of reporting and analytics solutions, with particular emphasis on Data Visualizations. Candidate must have strong understanding of data visualization and an ability to deliver engaging, informative data stories using a variety of techniques and tools. This individual is capable of working under minimal supervision. He/She will be responsible for interacting with various departments within Royal Caribbean to find, consolidate & manipulate data from multiple large data sets; to analyze and understand results; and to create reports, presentations and/or dashboards.

Essential Duties and Responsibilities
  • Designs, implements and develops Data Visualizations using Power BI, Custom Visuals, and R Visualizations
  • Meet with business stakeholders to clarify and document reporting requirements
  • Meet with technical stakeholders to perform code reviews and elicit feedback
  • Recommend data architecture and engineering structures necessary to support reports and dashboards
  • Works autonomously and with little direction to complete assignments, coordinating business processes, programs and projects based on the outlined strategies and defined directives.
  • Aggregates large data sets in SAS, Excel and other analytical tools for analysis. Develops data strategies
  • Specifically, around data structures, identifying critical information, as well as the tools used to retrieve and analyze the data. Performs research and analysis on large data sets - data exploration, trending, modeling, etc.
  • Works with management & other team members to understand & clarify data analysis and reporting needs. Provides guidance and insight on data visualization options for report design.
  • Influences business decisions through analytics and identifies actionable, data-driven insights. Makes recommendations and influences the direction of the business by effectively communicating results to a cross functional group as well as department executives.
  • Creates dashboards, automated reports, report templates and presentations. Uses advanced data visualization tools, such as PowerBI, to provide an easy-to-understand interface for end users to quickly identify key themes within data. Responsible for daily/weekly/monthly reporting on business trends and the status of digital experience initiatives for senior management
This position description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employee will be required to perform any other job-related duties assigned by their supervisor or management.

Qualifications, Knowledge & Skills
  • Four-year Bachelor's degree preferably in Mathematics/Statistics/Computer Science/ Economics /Analytics/Business/Engineering or BS/BA with combination thereof and related analytic work experience/ and or relevant certifications.
  • 2 years of work experience in data analysis, data mining, business case development or other related analytical projects.
  • Strong proficiency in query/reporting tools, SQL, Advanced Excel, Tableau (or similar visualization tool), R/SAS/Python or other statistical tools.
  • 2 years of work experience required, with experience performing either strategic digital analysis, financial analysis or business intelligence/marketing analytics highly preferred
  • Experience working with very large data sets (on relational as well as non-relational data stores)
  • Understanding of Forecasting, Data cleansing and Transformations
  • Understanding of SQL and DAX, R and R Scripting of visualizations in Power BI
  • Experience working with databases, including Oracle, SQL Server, and AS400
  • Ability to work on complex development BI projects including the proactive identification of issues and coordination of resolutions.
  • Ability to work independently to implement solutions with minimal guidance and communicate effectively with both business and technical stakeholders.


Physical Requirement

The physical demands described here are representative of those requirements employees must meet to perform the essential functions of this job with or without reasonable accommodations. While performing job functions the employee is regularly required to sit, stand, write, review and type reports, compile data, operate a pc, communicate, listen, and assess information. The employee may move about the office complex, may travel to other office locations and may lift, push, pull or move 10 - 15 pounds. Visual requirements include distant, close and color vision, and ability to adjust focus.

Working Conditions

Miami based position with some travel. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job with or without reasonable accommodations. The environment includes office locations, and/or moving inside/outside the office.

We know there's a lot to consider.

As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.

#LI-FM1
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Senior Business Intelligence / Data Visualization Engineer

95014 Monte Vista, California Apple

Posted 3 days ago

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Senior Business Intelligence / Data Visualization Engineer Cupertino, California, United States Machine Learning and AI Add to Favorites Senior Business Intelligence / Data Visualization Engineer Description As a Senior BI Engineer on the Services Data Science & Analytics team, you will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.We are looking for you to design and build executive reporting solutions, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with customer experience, product performance, business operations, and strategic decision-making. Often you will closely partner with our Data Science peers to define metrics, design datasets, and develop the automation strategy.Extensive collaboration with Product, Business, Engineering, and Marketing teams is vital to our success. In this role, you will iterate with these teams on key business outcomes, influence how our services are measured, and craft world-class tools and insights to support them at scale. As your ideas take shape, you will establish and socialize a comprehensive roadmap to communicate and manage stakeholder expectations while enabling org-wide transparency on progress.This role will require extensive experience taking complex, multifaceted projects from idea to production - preferably in a lead capacity. Ideally, you have a curious business mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We’re looking for someone known for effectively bridging analytics and business teams, with an ability to masterfully speak the language of both. Minimum Qualifications 10+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role Strong proficiency with data visualization tools such as Tableau / PowerBI / MicroStrategy / etc. for analysis, insight synthesis, reporting deliverable design & development, and executive presentation. Proficiency with SQL, Python, & Spark and experience using those skills with very large datasets. Familiarity with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of responsive and highly interactive data products. Excellent communication, social, and presentation skills with meticulous attention to detail. Strong time management skills with the ability to balance multiple projects with tight deadlines and executive visibility. BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field Preferred Qualifications Experience in a digital subscription business or large-scale e-commerce platform MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics or a related field At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,500 and $293,800, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Add to Favorites Senior Business Intelligence / Data Visualization Engineer #J-18808-Ljbffr

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Senior Business Intelligence / Data Visualization Engineer

95015 Las Lomas, California Apple

Posted 1 day ago

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Senior Business Intelligence / Data Visualization Engineer
**Cupertino, California, United States**
**Machine Learning and AI**
**Summary**
Posted: **May 27, 2025**
Role Number: **200606461**
Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! If you are passionate about telling compelling data stories with creative and insightful visualizations we would love for you to apply! The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best way to improve these services for our customers. Our team's culture is centered around rapid iteration with open feedback and healthy debate to curate the best outcomes. We encourage independent decision-making and taking calculated risks. Our team collaborates as an analytical advisor with partners across product, design, engineering, marketing, editorial, and business teams.
**Description**
As a Senior BI Engineer on the Services Data Science & Analytics team, you will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.
We are looking for you to design and build executive reporting solutions, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with customer experience, product performance, business operations, and strategic decision-making. Often you will closely partner with our Data Science peers to define metrics, design datasets, and develop the automation strategy.
Extensive collaboration with Product, Business, Engineering, and Marketing teams is vital to our success. In this role, you will iterate with these teams on key business outcomes, influence how our services are measured, and craft world-class tools and insights to support them at scale. As your ideas take shape, you will establish and socialize a comprehensive roadmap to communicate and manage stakeholder expectations while enabling org-wide transparency on progress.
This role will require extensive experience taking complex, multifaceted projects from idea to production - preferably in a lead capacity. Ideally, you have a curious business mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We're looking for someone known for effectively bridging analytics and business teams, with an ability to masterfully speak the language of both.
**Minimum Qualifications**
+ 10+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role
+ Strong proficiency with data visualization tools such as Tableau / PowerBI / MicroStrategy / etc. for analysis, insight synthesis, reporting deliverable design & development, and executive presentation.
+ Proficiency with SQL, Python, & Spark and experience using those skills with very large datasets.
+ Familiarity with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of responsive and highly interactive data products.
+ Excellent communication, social, and presentation skills with meticulous attention to detail.
+ Strong time management skills with the ability to balance multiple projects with tight deadlines and executive visibility.
+ BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
**Preferred Qualifications**
+ Experience in a digital subscription business or large-scale e-commerce platform
+ MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics or a related field
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Senior Business Intelligence / Data Visualization Engineer

95015 Las Lomas, California Apple

Posted 1 day ago

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Senior Business Intelligence / Data Visualization Engineer
**Cupertino, California, United States**
**Machine Learning and AI**
**Summary**
Posted: **Feb 21, 2025**
Weekly Hours: **40**
Role Number: **200592177**
Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! If you are passionate about telling compelling data stories with creative and insightful visualizations we would love for you to apply!
The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best way to improve these services for our customers.
Our team's culture is centered around rapid iteration with open feedback and healthy debate to curate the best outcomes. We encourage independent decision-making and taking calculated risks. Our team collaborates as an analytical advisor with partners across product, design, engineering, marketing, editorial, and business teams.
**Description**
As a Senior BI Engineer on the Services Data Science & Analytics team, you will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.
We are looking for you to design and build executive reporting solutions, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with customer experience, product performance, business operations, and strategic decision-making. Often you will closely partner with our Data Science peers to define metrics, design datasets, and develop the automation strategy.
Extensive collaboration with Product, Business, Engineering, and Marketing teams is vital to our success. In this role, you will iterate with these teams on key business outcomes, influence how our services are measured, and craft world-class tools and insights to support them at scale. As your ideas take shape, you will establish and socialize a comprehensive roadmap to communicate and manage stakeholder expectations while enabling org-wide transparency on progress.
This role will require extensive experience taking complex, multifaceted projects from idea to production - preferably in a lead capacity. Ideally, you have a curious business mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We're looking for someone known for effectively bridging analytics and business teams, with an ability to masterfully speak the language of both.
**Minimum Qualifications**
+ 10+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role
+ Strong proficiency with data visualization tools such as Tableau / PowerBI / MicroStrategy / etc. for analysis, insight synthesis, reporting deliverable design & development, and executive presentation.
+ Proficiency with SQL, Python, & Spark and experience using those skills with very large datasets.
+ Familiarity with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of responsive and highly interactive data products.
+ Excellent communication, social, and presentation skills with meticulous attention to detail.
+ Strong time management skills with the ability to balance multiple projects with tight deadlines and executive visibility.
+ BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
**Preferred Qualifications**
+ Experience in a digital subscription business or large-scale e-commerce platform
+ MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics or a related field
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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DATA VISUALIZATION SPECIALIST

11210 Brooklyn, New York NYC Jobs

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Data Visualization Specialist

New York City Emergency Management (NYCEM) helps New Yorkers before, during, and after emergencies through preparedness, education, and response. NYCEM is responsible for coordinating citywide emergency planning and response for all types and scales of emergencies. We are staffed by more than 200 dedicated professionals with diverse backgrounds and areas of expertise, including individuals assigned from other City agencies. The Office of Strategic Operations (OSO), led by the Chief Strategy Officer, is responsible for managing high-priority agency-wide or citywide initiatives that support the growth of emergency management at both our agency and the City at large. OSO works to provide innovative proposals to continuously improve our internal, interagency, and externally facing operations. To accomplish its goals, OSO is organized into three Units: Analysis and Evaluation, Strategy and Innovation, and Continuity of Operations (COOP). The Analysis & Evaluation (A&E) Unit is responsible for conducting qualitative and quantitative analyses to identify and track to completion recommendations that improve the City's response posture. The Data Visualization Specialist will report to the Data Visualization Program Manager and be responsible for supporting the development and implementation of data visualizations to establish situational awareness during emergencies, identify trends and potential areas for improvement, and encourage data-driven decision-making during day-to-day operations. The ideal candidate should have prior experience responding to requests for data and analysis, contributing to projects from scope development to delivery, and interpreting the results in a concise, easy-to-understand manner. Duties include:

  • Visualizing quantitative data from City agencies to make quantitative assessments, predict outcomes, and prioritize resources, as needed, during emergencies.
  • Contributing to the design and development of data visualization tools to improve data sharing and situational awareness within NYCEM and with other City agencies.
  • Developing data reports or templates for a range of natural and man-made hazards and supporting internal and external trainings on completing templates.
  • Supporting internal and external outreach to programs for guidance on data collection, metrics identification, and visualization recommendations for blue- and gray-sky operations.
  • Serving on the agency's Emergency Data Team responsible for time-of data collection, analysis, and visualization needs during incidents.
  • Scheduling and managing intra- and interagency meetings and presenting in working groups and conferences, when necessary.
  • Building partnership with other emergency management professionals, universities, community-based groups, and private-sector partners.
  • Conducting data management training for NYCEM staff.
  • Working on special projects and assignments, as needed.
  • Deploying to the field during emergencies, as needed.

**PLEASE NOTE THE FOLLOWING: The selected candidate will be assigned to an on-call Emergency Operations Center (EOC) team and will be expected to work non-business hours during some emergencies. These non-business hours include nights, weekends, holidays, and extended week hours outside of a 9AM-5PM schedule. The selected candidate will also participate in trainings to build skills and competencies in emergency response; will participate in drills and exercises associated with the on-call EOC team; and may volunteer to assist with Ready NY emergency preparedness presentations to external groups. EOC teams are on call for three weeks at a time, with six weeks off in between. Candidates must be authorized to work in the United States without employer support to be eligible for selection. The selected candidate will be required to be in person in the office location three days per week, with exceptions for extenuating circumstances. IN ORDER TO BE CONSIDERED FOR THIS JOB, PLEASE SUBMIT A SEPARATE COVER LETTER IN THE ATTACHMENTS SECTION OF THE APPLICATION PORTAL. PREFERRED SKILLS Experience with reporting, analytics, and dashboard software and tools such as Tableau, Microsoft Power BI, Looker, the ArcGIS suite, or comparable software suites. Experience automating and ingesting data with cloud resources (e.g., Google Cloud Products) and coding languages (e.g., Python, SQL, JSON). Experience with data cleaning and publishing tools such as Tableau Prep Builder, Tableau Online, Dataprep, or Microsoft Power BI. Excellent oral and written communications skills. Strong organization, project management, and facilitation skills. Ability to work on and lead multiple projects concurrently. Strong Microsoft Office skills, particularly Excel. Experience in quantitative and qualitative data reporting, analytics, visualization, and interactivity. Familiarity with user-centered design. In addition, the selected candidate will be able to demonstrate proven ability in the following areas, from the agency's performance management model: Competencies: Knowledge possesses appropriate subject matter expertise. Work Ethic and Productivity produces consistently high quality, accurate, and on-time deliverables; takes responsibility, is dependable, and accountable, and follows through; is responsive to requests from leadership. Strategic Problem Solving and Innovation is thoughtful and deliberate in approach to solving problems; demonstrates innovation and creative thinking. Effective Communication communication is clear, precise, and timely; understands their audience and display confidence in delivering their message. Teamwork encourage collaboration and motivate others; is able to both lead and follow when necessary; is an active listener and consider a broad range of perspectives. **Studies have shown that women, people of color, and other under-represented groups are less likely to apply for jobs unless they believe they are able to perform every task in the job description. We are interested in finding the best candidate for the job and will consider any equivalent combination of knowledge, skills, education and experience to meet qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.

Minimum Qualifications 1. A four-year high school diploma or its educational equivalent approved by a state's department of education or a recognized accrediting organization and six years of satisfactory full-time professional experience in one or a combination of the following: emergency management, fire, police, or military service, public safety, public health, public administration, urban planning, engineering, or another specialized area to which the appointment is to be made; or 2. A baccalaureate degree from an accredited college and two years of satisfactory full time professional experience in the areas listed in "1" above; or 3. A master's degree from an accredited college in emergency management, public administration, urban planning, engineering, economics, political science, the physical sciences, or related field and one year of satisfactory full-time professional experience in the areas listed "1" above, at least two years of which must have been in one of those areas, or another specialized area to which the appointment is to be made. 4. Education and/or experience equivalent to "1", "2", or "3" above. However, all candidates must have a four-year high school diploma or its educational equivalent. Special Note: To be eligible for placement in Assignment Level II, individuals must have, after meeting the minimum requirements, one additional year of professional experience as described in ""1"" above.

Public Service Loan Forgiveness As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website.

Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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Data Visualization Specialist

23437 Suffolk, Virginia ClearanceJobs

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Data Visualization Specialist

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Visualization Specialist will be responsible for translating analytic outputs into compelling visual products for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, enabling data-driven decision-making across the Information Warfare enterprise. This role bridges data analysis and user experience, focusing on the design, development, and deployment of dashboards and data visualizations. The candidate will partner with data scientists, analysts, and mission stakeholders to craft impactful visualizations that support readiness, cybersecurity, and operational insight. This is a hybrid position based in Suffolk, VA, with limited travel anticipated.

Responsibilities:

  • Design, prototype, and implement data visualizations and dashboards for use across NAVIFOR and subordinate commands
  • Translate user stories and mission needs into tailored visualization products
  • Collaborate with data engineers and analysts to access, structure, and interpret complex datasets
  • Tune visualizations for usability, clarity, and performance across varied platforms and use cases
  • Maintain and enhance deployed visual tools based on stakeholder feedback and evolving data needs
  • Use industry-standard tools and component libraries to ensure responsive, scalable, and secure visualization design
  • Contribute to agile development processes, sprint cycles, and collaborative design reviews

Qualifications:

  • Education: Associate or Bachelor of Science degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or related disciplines
  • Experience:
    • Minimum 3 years of experience using multiple data visualization platforms (e.g., Power BI, Tableau, D3.js, Plotly)
    • At least 2 years working in Agile or Scrum development environments
  • Clearance: Active Secret Clearance required
  • Technical Skills:
    • Strong experience in UI/UX principles for data-centric visualizations
    • Familiarity with HTML/CSS, JavaScript frameworks, and API integration is a plus
    • Proficiency with collaboration platforms like Jira, Confluence, Jama, or Git
  • Must be technically savvy and possess excellent communication skills
  • Must be self-motivated and able to work both independently and within cross-functional teams
  • Must have effective critical thinking and problem-solving skills
  • Proficient in Microsoft Office Suite

Pay Range: Base pay is $75,000-$85,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

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