253 Data Analysis jobs in Seattle
Associate Business Intelligence Analyst
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**Job Description** At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. **Boeing Defense, Space and Security** (BDS), **Mobility, Surveillance & Bombers'** division is hiring an **Associate Business Intelligence Analyst** (Level 2) as we grow our division aligned **Business Analytics** team to develop data visualizations to increase visibility of program performance and provide analytical solutions to support data-driven decision making. In joining this team, you will have a critical part in the division's analytical transformation including program metric identification and development, KPI standardization and management, and descriptive, predictive, and prescriptive analytics development and deployment. This role is based in **Tukwila, WA** . **Position Responsibilities:** + Designs Business Intelligence information models, dashboards, metrics and reports utilizing standard technologies and methodologies that meet business objectives. + Combines programming, SQL skills, best practices, strategic decision-making capabilities and business expertise to deliver efficient and scalable Business Intelligence solutions to improve business productivity and business outcomes. + Data Preprocessing and Cleaning: Ensure the quality and accuracy of large volumes of structured and unstructured data using SQL + Develop ETL pipelines, ensuring high-quality data capture. + Knowledgeable of data security concepts, practices, trends, and information + Supports establishment of strategic direction of descriptive analytics for the division, including identifying opportunities for analytical solution development + Identify key performance indicators (KPIs) and develop metrics to measure the effectiveness of risk. + Successful cross functional collaboration within the organization to facilitate the accomplishment of work goals + Ability to collaborate with cross-functional teams to understand data requirements and business objectives. + Partner with stakeholders and internal customer to ensures follow up action for issue resolution + Clearly articulate technical concepts and information to both technical and non-technical stakeholders + Effectively train individuals on how to utilize analytical tools, ensuring clear understanding of the information + Ability to understand the big picture and the interrelationships of all positions and activities in the system, including the impact of changes in one area on another area + Ability to quickly learn systems across a program's value stream + Excellent problem-solving and critical-thinking skills **This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.** **This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.** An interim and/or final U.S. Secret Clearance Post-Start is required. **Basic Qualifications (Required Skills/Experience):** + 3+ years of experience in identifying and communicating business requirements with cross-functional and/or cross-business teams + 1+ year of experience with database technologies using SQL or PL/SQL + 1+ year of experience in designing/building visualizations within Tableau + Experience with building ETL pipelines + 1+ year of experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models + 1+ year of experience developing and maintaining relationships and partnerships with stakeholders (i.e. customers, suppliers, peers and/or partners) **Preferred Qualifications (Desired Skills/Experience):** + 1+ year of experience with data integration development and maintenance + Master's degree or higher, study in a technical field (i.e. Computer Science, Information Management, etc.) + Experience with R or Python data visualization packages (i.e. Shiny, Dash, Streamlit) + Strong Cloud background, specifically in Azure and Azure Managed Services + Experience in Dev Ops: CI/CD pipelines **Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.** **Travel** : Ability to travel up to 10% **Shift:** 1st Shift **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Total Rewards & Pay Transparency:** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for $75,650 - $102,350 _Applications for this position will be accepted until July 13, 2025_ Applications for this position will be accepted until **Jul. 14, 2025** **Export Control Requirements:** This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. **Export Control Details:** US based job, US Person required **Relocation** Relocation assistance is not a negotiable benefit for this position. **Security Clearance** This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. **Visa Sponsorship** Employer will not sponsor applicants for employment visa status. **Shift** This position is for 1st shift **Equal Opportunity Employer:** Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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aerospace and Data Analysis
Posted today
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Position: Aerospace and Data Analysis Duration: Contract Location: Seattle, WA
JD Required Skills: Data Analysis: Proficiency in analyzing large datasets, identifying patterns, and extracting meaningful insights using tools like SQL, Excel, or other data analysis software. Senior/Expert level Business Intelligence Proficiencies. Data Visualization: Ability to create compelling visualizations to communicate complex data insights effectively.
Process Improvement Specialist- Payments and Data Analysis, Zero Waste, Zero Waste, Field Oper Re...

Posted 12 days ago
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As the Zero Waste Process Improvement Specialist- Payments and Data Analysis, US Donations or Recycle, you will be the primary point of contact for payments, purchase orders, and funding approvals. You will monitor incoming vendor disputes to process, monitor escalations or inquiries from vendors and internal teams. You will also identify continuous improvement by diving into recycling and donations data to identify trends and surface opportunities to reduce costs, increase recovery, or invent and simplify our business. You will also have the opportunity to work cross-functionally across external vendors and internal operations, ACES, product, tech and finance teams. Lastly, you will be able to dive deep into data to find new opportunities to escalate roadblocks and risks to both business and external vendors.
Key job responsibilities
- Own and optimize the team's standard work programs including data management/queries, cost optimization (transportation, grants, disposal charges, and sorting fees), waste reporting, and inventory tracking
- Process and track all purchase orders (POs), pre-approved spending requests, invoices, funding requests, ect
- Audit vendor reporting and reconciliation to surface trends and outlier data
- Monitor and report on revenue metrics and track commodity rates
- Handle Accounts Receivable (AR) and Accounts Payable (AP) responsibilities
- Drive process automation and standardization initiatives to improve operational efficiency
- Maintain accurate project tracking and status updates through Asana, ensuring timeline adherence and stakeholder communication
- Be able to rule SQL queries in Hubble to run reports related to ship method, removals or other inquires
A day in the life
You will get the opportunity to work cross-functionally with Site Operations, Finance, Product, Tech organizations. You will also get to work with external vendors, who are business-2-business (B2B) vendors of Amazon. Your work is dynamic in nature, works at scale across the network, and has both standard work and proactive projects. We have big true north goals, where you work daily on finding ways to proactively achieve them. Lastly, you will dive deep into business performance, input and defect metrics for your business to find ways to drive continuous improvement.
About the team
As a member of the US Recycle, Donations, and Zero Waste team, you will get to work in a team environment, where everyone works to support one another to achieve our goals of zero cost of returns and zero waste. While you will have your own goals and objectives, we tend to work collaboratively as necessary and have mechanisms in place to track your projects, goals and business performance.
Basic Qualifications
- Experience managing accounts receivable and accounts payable
- Experience with large scale data analysis with a history of identifying trends and inventing and simplifying mechanisms
- Experience gaining funding approvals, pre-approved spending requests, and invoice generation
- Analytical skills with experience using Excel (analysis using aggregate functions and pivot table)
- Good communication skills both verbal and writing (ability to communicate clear and coherent narratives)
- Ability to travel as needed (up to 65%)
Preferred Qualifications
- 2+ years of program or product management experience with a focus on payments, invoicing and data analysis
- Advanced Excel (Macros/VBA)
- Experience in MS Access and SQL
- Knowledge of visualization tools like QuickSight, Tableau etc.
- Experience in mixed material recycling or nonprofit support
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $52,700/year in our lowest geographic market up to $112,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Machine Learning Frontier Scientist, Data Mining
Posted today
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SystImmune is a biotech company dedicated to developing innovative therapies for various diseases. We are seeking an experienced Machine Learning Scientist with expertise in data mining to join our team. The successful candidate will play a key role in analyzing pre-clinical and/or clinical data to uncover new protein targets and identify potential drug optimization opportunities for immunotherapy in cancers and other diseases. We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. Responsibilities: Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams. Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals. Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations. Requirements: Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow, or PyTorch. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles. Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Nice to Have: Familiarity with containerization using Docker. Knowledge of data security and compliance regulations such as HIPAA. Experience with agile development methodologies and version control systems such as Git. Company Culture: At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you. What to Expect: As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career. Compensation and Benefits: The expected base salary range for this position is $100,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. #J-18808-Ljbffr
Machine Learning Frontier Scientist, Data Mining
Posted 5 days ago
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Technology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice, The 2-Hour Job Search focuses on strategies that deliver real results in less time. Job title: Machine Learning Frontier Scientist, Data Mining Company: Systimmune Job description : SystImmune is a biotech company dedicated to developing innovative therapies for various diseases. We are seeking an experienced Machine Learning Scientist with expertise in data mining to join our team. The successful candidate will play a key role in analyzing pre-clinical and/or clinical data to uncover new protein targets and identify potential drug optimization opportunities for immunotherapy in cancers and other diseases.We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. Responsibilities: Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams. Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals. Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations. Requirements: Master’s or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow, or PyTorch. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles. Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Nice to Have: Familiarity with containerization using Docker. Knowledge of data security and compliance regulations such as HIPAA. Experience with agile development methodologies and version control systems such as Git. Company Culture: At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you. What to Expect: As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career. Compensation and Benefits: The expected base salary range for this position is $100,000 – $80,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role.SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.Powered by JazzHR Expected salary : $1000 18000 per year Location : Redmond, WA Job date : Sun, 29 Jun 2025 04:42:04 GMT Apply for this job now! Explore career opportunities and trends in the tech industry with Tech Careers. From job tips to industry insights, stay informed about how to advance your tech career. Read the latest articles here at Techcratic. Your email address will not be published. Required fields are marked * #J-18808-Ljbffr
Machine Learning Engineer, Risk Data Mining - USDS (Seattle)
Posted 2 days ago
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Job Description
Responsibilities
The USDS-Platform and Community Integrity (PaCI) team is missioned to:
- Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers;
- Secure platform health and community experience authenticity;
- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
Qualifications
Minimum Qualifications
- Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
- Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
- Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.
About USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $137750 - $37500 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Technology, Information and Internet
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Machine Learning Engineer, Computer Vision Senior ML Engineer, Applied Machine Learning Machine Learning EngineerBusiness Intelligence Analyst
Posted 1 day ago
Job Viewed
Job Description
Placement Type:
Temporary
Salary:
$40 to $5 an hour
Start Date:
07.14.2025
This is a 5+ month contract with possible extension up to 18 months. This is a hybrid position that required 1 day a week onsite in Redmond, WA.
Join a leading technology innovator as a Business Intelligence Analyst and make a direct impact on their supply chain operations. This role offers a unique opportunity to leverage your analytical skills to optimize processes, solve complex challenges, and drive impactful improvements. Be a key player in ensuring efficient supply and demand matching, contributing to the seamless operation of a global tech giant. Partner with Aquent to explore this exciting opportunity!
As a Business Intelligence Analyst, you will be immersed in the world of supply chain optimization, focusing on power planning and resource allocation. You will dive deep into data, identify potential shortages and surpluses, and develop actionable solutions to maintain equilibrium. This role is perfect for a data-driven individual who thrives in a fast-paced, collaborative environment.
Responsibilities:
- Own supply chain analytics projects from inception to completion, demonstrating initiative and ownership.
- Investigate and resolve complex supply chain issues, applying your analytical prowess and problem-solving skills.
- Analyze extensive datasets using Excel, SQL, and Power BI to uncover actionable insights.
- Monitor, manage, and enhance key performance indicators (KPIs) to align with organizational objectives.
- Collaborate with cross-functional teams to optimize planning, support cumulative planning, and improve information flow.
- Drive issue resolution with a results-oriented approach and a commitment to accountability.
- Bachelor's degree in Supply Chain, Business, Analytics, or a related field.
- 2+ years of experience in data analysis, preferably within a supply chain context.
- Proven ability to work independently and manage projects effectively.
- Advanced Excel skills (pivot tables, complex formulas, data visualization).
- Working knowledge of SQL for data querying and manipulation.
- Experience creating and maintaining Power BI dashboards.
- Direct experience in supply chain operations.
- Familiarity with supply chain processes, including planning vs. actualization and cumulative planning.
The target hiring compensation range for this role is 40 to 45 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.About Aquent Talent:
About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
#APP
Client Description
Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you'll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose-where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed-you'll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you'll have the tools to thrive both personally and professionally. Be part of something that truly matters.
Why work with AQUENT? Check out our awesome benefits:
Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
Business Intelligence Analyst
Posted today
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The main focus is on creating insights and reporting using Power BI based on existing data sources. Candidates will be expected to build Power BI reports and generate insights throughout the year. location: Redmond, Washington job type: Contract sala Analyst, Business, Intelligence, Staffing, Technology
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Business Intelligence Analyst
Posted 2 days ago
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This is a 5+ month contract with possible extension up to 18 months. This is a hybrid position requiring 1 day a week onsite in Redmond, WA. Join a leading technology company as a Business Intelligence Analyst and make a direct impact on supply chain operations. This role offers an opportunity to leverage your analytical skills to optimize processes, solve complex challenges, and drive improvements. You will play a key role in ensuring efficient supply and demand matching, contributing to the seamless operation of a global tech organization. Partner with Aquent to explore this exciting opportunity! As a Business Intelligence Analyst, you will focus on supply chain optimization, particularly in power planning and resource allocation. You will analyze data, identify shortages and surpluses, and develop solutions to maintain balance. This role suits a data-driven individual who thrives in a fast-paced, collaborative environment. Responsibilities: Manage supply chain analytics projects from start to finish, demonstrating initiative and ownership. Investigate and resolve complex supply chain issues using analytical and problem-solving skills. Analyze large datasets with Excel, SQL, and Power BI to derive insights. Monitor and improve KPIs to meet organizational goals. Collaborate with cross-functional teams to optimize planning and improve information flow. Drive issue resolution with a results-oriented and accountable approach. Must-Have Qualifications: Bachelor’s degree in Supply Chain, Business, Analytics, or related field. At least 2 years of experience in data analysis, preferably in supply chain. Ability to work independently and manage projects effectively. Advanced Excel skills (pivot tables, formulas, data visualization). Knowledge of SQL for data querying and manipulation. Experience creating and maintaining Power BI dashboards. Nice-to-Have Qualifications: Experience in supply chain operations. Familiarity with supply chain processes like planning vs. actualization and cumulative planning. The targeted hourly compensation range is $40 to $45, based on education, experience, certifications, and location. About Aquent Talent: Aquent Talent connects top talent in marketing, creative, and design with leading brands. Our eligible talent access benefits like subsidized health, vision, dental, paid sick leave, retirement plans with matching, and free online training through Aquent Gymnasium. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. We value diversity and inclusion, fostering an environment where everyone can contribute, grow, and thrive. Client Description Join a global technology leader committed to innovation and empowering people and organizations worldwide. Collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture emphasizes growth, inclusion, and purpose—where your ideas are valued and your work makes a difference. With flexible work options and a supportive environment, you’ll have the tools to succeed both personally and professionally. Be part of something meaningful. Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. #J-18808-Ljbffr
Business Intelligence Analyst
Posted 2 days ago
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Job Description
We are looking for a Business Intelligence Analyst to perform the following job duties. Requirements Development and Enhancement of Data Analytics Platforms : Job Duty: Consulting on and designing predictive models, data analytics pipelines, and data-driven platforms to support decision-making for financial, operational, and marketing insights. Creating machine learning models, predictive algorithms, and data visualization dashboards using Python, R, and SQL. Utilizing big data frameworks like Spark and Hadoop for data processing. Implementing ETL processes and maintaining data pipelines on Azure Data Factory and Databricks. Building cloud-based solutions on Azure for large-scale data analysis. Data Analysis, Business Intelligence, and Model Building Job Duty: Analyzing large datasets to extract meaningful insights and patterns, supporting stakeholder decision-making with data-driven recommendations. Developing business intelligence dashboards, defining KPIs, and automating reports using Power BI and Azure Synapse. Conducting statistical analysis, A/B testing, and time series forecasting for business insights. Supporting data governance and data quality initiatives to ensure data integrity and compliance. Statistical Tools: Excel, Power BI, Jupyter Notebooks. Data Engineering and Data Management Job Duty: Building and maintaining data pipelines, ensuring data integrity, and optimizing data storage and retrieval on Azure. Setting up data infrastructure on Azure Data Lake Storage, Azure SQL Database, and Azure Synapse. Building ETL processes using Azure Data Factory and managing data warehouse architecture. Coordinating with engineering teams for data model optimization and data integration. Model Evaluation and Deployment Job Duty: Deploying models into production, monitoring performance, and iterating on model improvements. Deploying models using Azure Machine Learning services. Monitoring model performance, fine-tuning algorithms, and retraining models for accuracy. Collaborating with DevOps for continuous integration and continuous deployment (CI/CD) pipelines. Minimum Education: Bachelor’s degree in Computer Science, Information Systems, or Computer Information Systems, or equivalent combination of education and experience. About the Company Novateur Inc is an IT consulting company that puts its customers first. We offer a range of services designed to help businesses of all sizes get the most from their technology investments. Our team is made up of experienced and knowledgeable professionals who understand the importance of delivering high-quality solutions quickly and efficiently. Our mission is to help our customers succeed by providing tailored solutions that meet their unique needs. We strive to maintain the highest level of customer satisfaction, and our commitment to excellence is evident in everything we do. #J-18808-Ljbffr