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Business Intelligence Engineer, Zappos Buying and Planning

89105 North Las Vegas, Nevada Amazon

Posted 8 days ago

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Job Description

Description

Zappos is looking for a nimble, curious BIE within the Buying and Planning organization to help design, build and implement BI solutions. This role will own development of long-term automation solutions to improve the Buying and Planning workflow, while also creating short-term tools and reporting to support the evolving needs of the business. The ideal candidate is innovative, data-driven and strives to answer fast-changing business/operational questions with thoughtful analysis. They are comfortable in distilling data from multiple sources to create simplified, concise reporting and visualizations to support leadership decision making, and can manage multiple analyses/projects simultaneously. Successful candidates will be expected to demonstrate our leadership principles: Invent and Simplify, Customer Obsession, Bias for Action, and Deliver Results.

Key job responsibilities

• Developing concise, insightful reporting on the key drivers of our business

• Enabling efficient decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format

• Generating flexible models for KPI definition and tracking to support Zappos strategic initiatives

• Writing high quality SQL codes to retrieve and analyze data

• Communicating complex, data-driven subject matter to key stakeholders, both verbally and in writing

• Partnering with internal stakeholders to gain a deep understanding of the business need and existing challenges

• Development and maintenance of internal tools that support buying and planning workflows

Basic Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • Experience with data visualization using Tableau, Quicksight, or similar tools

  • Experience with data modeling, warehousing and building ETL pipelines

  • Experience in Statistical Analysis packages such as R, SAS and Matlab

  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Preferred Qualifications

  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

  • Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

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 $89,600/year in our lowest geographic market up to $185,000/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.

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Business Intelligence Engineer, Zappos Buying and Planning

89102 Las Vegas, Nevada Amazon

Posted 15 days ago

Job Viewed

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Job Description

Description
Zappos is looking for a nimble, curious BIE within the Buying and Planning organization to help design, build and implement BI solutions. This role will own development of long-term automation solutions to improve the Buying and Planning workflow, while also creating short-term tools and reporting to support the evolving needs of the business. The ideal candidate is innovative, data-driven and strives to answer fast-changing business/operational questions with thoughtful analysis. They are comfortable in distilling data from multiple sources to create simplified, concise reporting and visualizations to support leadership decision making, and can manage multiple analyses/projects simultaneously. Successful candidates will be expected to demonstrate our leadership principles: Invent and Simplify, Customer Obsession, Bias for Action, and Deliver Results.
Key job responsibilities
- Developing concise, insightful reporting on the key drivers of our business
- Enabling efficient decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
- Generating flexible models for KPI definition and tracking to support Zappos strategic initiatives
- Writing high quality SQL codes to retrieve and analyze data
- Communicating complex, data-driven subject matter to key stakeholders, both verbally and in writing
- Partnering with internal stakeholders to gain a deep understanding of the business need and existing challenges
- Development and maintenance of internal tools that support buying and planning workflows
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Preferred Qualifications
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
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 $89,600/year in our lowest geographic market up to $185,000/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.
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Data Strategies Analysis Manager

89105 North Las Vegas, Nevada Boyd Gaming

Posted 2 days ago

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Job Description

Job Description

As a Data Strategies Manager, you will manage projects that look at historical, current, and predictive views of the business to support key partners in decision making. Work closely with marketing, operations, and other departments to perform statistical analyses addressing business challenges. You will supervise, mentor, and train one or more direct reports. You will assign projects to your team and monitor progress. Success will be measured by your ability to provide in-depth insights and recommendations that solve business challenges as well as your ability to provide highly consumable data to the organization.

  • * Partner with corporate and property leadership in marketing, operations, and other departments to understand business challenges and offer data-based solutions.
    • Develop and present comprehensive analyses, including insights and recommendations, to various levels of the organization, including senior leadership and marketing leadership.
    • Lead test and learn experimentation efforts including experiment prioritization, test design, and providing key learnings with recommendations.
    • Support direct marketing, special events, and promotional activities through robust customer segmentation, performance analysis, test design and analysis, and predictive modeling.
    • Analyze large data sources to understand key drivers of the business.
    • Manage assigned projects from inception to completion. This includes meeting with business partners, clearly defining the problem or question, formulating an approach, executing the analysis, creating conclusions and recommendations, and presenting findings to the business.
    • Write SQL to extract, manipulate, and move data within the Boyd Gaming technology stack.
    • Provide clear, insightful, and meaningful analysis that supports decision making.
    • Create and maintain documentation of processes.
    • Hire, train, coach, and develop other members of the Data Strategies team.
    • Prioritize and manage the workload of your direct report(s).
    • Drive efficiency in the department through automation.
    • Develop and maintain a positive working relationship with outside vendors, the properties, and other corporate departments.
    • Take initiative and solve problems.
    • Make good decisions in a timely manner.
    • Other duties as assigned.

Qualifications:
Qualifications

  • * Bachelor’s degree in a quantitative field such as business analytics, statistics, mathematics, economics, computer science, or closely related field required. Master’s degree preferred.
    • Minimum 5 years of relevant analytics experience required.
    • Expertise with tools such as SQL required.
    • Knowledge of BI tools such as MicroStrategy, Tableau, or Power BI required.
    • Highly proficient with Microsoft Office.
    • Inquisitive analytic thinking with a keen ability to solve problems.
    • Demonstrated professionalism and leadership skills.
    • Organized and detail oriented with strong attention to accuracy.
    • Ability to communicate complex analyses to a variety of audiences.
    • Ability to obtain/maintain any necessary licenses and/or certifications.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Boyd Gaming is proud to be an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

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AVP I, Data Engineering

89105 North Las Vegas, Nevada Credit One Bank

Posted 1 day ago

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Job Description

Join to apply for the AVP I, Data Engineering role at Credit One Bank Join to apply for the AVP I, Data Engineering role at Credit One Bank Description Position Summary One of America's leading issuers of VISA and MasterCard credit cards in Las Vegas, Nevada, is seeking highly qualified Information Management professionals. We provide credit cards to individuals other banks have historically overlooked because of their less-than-perfect credit. With millions of people carrying our credit cards, we pride ourselves on excellent customer service and various credit card products with innovative features. This position is a part of the Data Strategy, Governance, and Analytics group. This team is based in the Information Management department and supports the entire bank. The mission of the data analytics and reporting team is to take the enterprise from its current state of analytics to be more predictive and prescriptive using advanced analytical techniques. Our goal is to analyze a large volume of data using advanced analytics to find trends and answer questions to support business processes and systems. Our data professionals are tasked with creating efficient data analysis pipelines, data mining, statistical analysis and creating powerful visualizations to support the business in their day-to-day decision making. The AVP of Data Strategy & Governance is a subject matter expert in data analytics and business analysis. They will lead a team of data engineers to perform analysis, design, optimization activities and deliver analytical solutions in support of analytical needs of the business across Credit One Bank. They also play a critical role in defining and creating the future state of data and analytics in the enterprise. Team members are expected to build trust and relationships through effective communication with both technical and non-technical partners within multiple departments to facilitate success. A successful individual in this role is a leader who contributes to the organization/departmental goals and leads the team to achieve these goals. They mentor and coaches the team in business processes, data discovery, designing efficient, optimized analytical solutions, identifies opportunities to add value to the business and ensures on-time delivery of projects. They identify ways to keep their team motivated and deliver high value projects. Summary Of Essential Job Functions Manages, coaches, and mentors a team of data engineers responsible for delivering strategic initiatives to provide insights for timely, data-driven decisions to the business stakeholders. Leads design discussions with the team to support the development, deployment, testing, and maintenance of high-quality and optimal solutions related to data analysis, data discovery, data pipeline automation, and roll-out of compelling visualizations for business analysis. Possesses solid conceptual knowledge of department tools and applications. Guides and coaches the team to explore diverse source systems to discover data elements and understand business processes to design high value analytical solutions. Serves as an expert consultant to internal technical and line of business teams. Act as a primary contact for the business partner team for work prioritization, project sizing, resource allocation, delivery timelines, quality control, process map adherence, escalations, and project communication. Follows agile methodology to deliver analytical solutions and manages JIRA for all deliverables to the business. Leads conversations on project requirements, develops roadmaps, and provides project progress visibility to partner team executives and senior executives. Leads strategic conversations, presents ideas, results, recommendations, and roadmaps to business stakeholders and executives. Recruits new talent, ensures team's continuous technical development, and addresses any existing skill gaps. Anticipate issues based on knowledge of internal data trends and propose solutions. Defines and documents departmental processes and standards. Leads projects to support modernization and innovation within the team. Ensures that work and processes are well documented. Performs other duties as assigned. Position Requirements Bachelor's Degree in Business, Mathematics, Statistics, Engineering, Computer Science, or related field 7+ years of experience in business analysis, quantitative analytics, data science; preferably within the financial services industry 6+ years of advanced experience using SQL (SQL Server, Oracle, Teradata etc.), data visualization (Tableau, Power BI etc.,), data integration (SSIS, Alteryx, Talend etc.,) and at least one analytical package such as SAS, Python, R, etc. 2+ years of experience managing a team of analytical professionals. Organizational and prioritization skills to manage multiple, competing priorities Leadership skills to manage and mentor a team of analytical professionals across varying levels of skill and experience. Excellent communication skills - and ability to thrive in a fast-paced complex environment Experience developing requirements and testing analytic solutions collaboratively Self-starter who is highly motivated, collaborative, and innovative. Stays current with relevant technology advancements in the financial industry. Demonstrate company core values of excellence, ownership, collaboration, and integrity. Knowledge of financial analysis, credit, profitability drivers as well as operational analytics Preferred Graduate degree in quantitative area such as mathematics, economics, engineering, computer science, operations research and equivalent industry experience Strong financial analytical skills with the ability to read, interpret, and evaluate, financial time-series tracking reports (including vintage analysis). Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers various credit card products for people in all financial life stages. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). Employees and the Bank may terminate the employment relationship at any time, with or without cause or notice. Please get in touch with the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees. Seniority level Seniority level Executive Employment type Employment type Full-time Job function Job function Engineering and Information Technology Referrals increase your chances of interviewing at Credit One Bank by 2x Get notified about new Vice President of Engineering jobs in Las Vegas, NV . Las Vegas, NV $110,000.00-$40,000.00 2 weeks ago VP Meetings Operations- Corporate- Las Vegas Technical Manager - Automotive and Industrial Director - Forensic Structural Engineering Las Vegas, NV 185,000.00- 220,000.00 1 month ago Construction Project Manager - Multifamily Las Vegas, NV 160,000.00- 225,000.00 1 day ago Las Vegas, NV 100,000.00- 120,000.00 5 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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AVP I, Data Engineering

89105 North Las Vegas, Nevada CreditOne

Posted 6 days ago

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Job Description

Description

Position Summary

One of America's leading issuers of VISA® and MasterCard® credit cards in Las Vegas, Nevada, is seeking highly qualified Information Management professionals. We provide credit cards to individuals other banks have historically overlooked because of their less-than-perfect credit. With millions of people carrying our credit cards, we pride ourselves on excellent customer service and various credit card products with innovative features.

This position is a part of the Data Strategy, Governance, and Analytics group. This team is based in the Information Management department and supports the entire bank. The mission of the data analytics and reporting team is to take the enterprise from its current state of analytics to be more predictive and prescriptive using advanced analytical techniques. Our goal is to analyze a large volume of data using advanced analytics to find trends and answer questions to support business processes and systems. Our data professionals are tasked with creating efficient data analysis pipelines, data mining, statistical analysis and creating powerful visualizations to support the business in their day-to-day decision making.

The AVP of Data Strategy & Governance is a subject matter expert in data analytics and business analysis. They will lead a team of data engineers to perform analysis, design, optimization activities and deliver analytical solutions in support of analytical needs of the business across Credit One Bank. They also play a critical role in defining and creating the future state of data and analytics in the enterprise. Team members are expected to build trust and relationships through effective communication with both technical and non-technical partners within multiple departments to facilitate success. A successful individual in this role is a leader who contributes to the organization/departmental goals and leads the team to achieve these goals. They mentor and coaches the team in business processes, data discovery, designing efficient, optimized analytical solutions, identifies opportunities to add value to the business and ensures on-time delivery of projects. They identify ways to keep their team motivated and deliver high value projects.

Summary of Essential Job Functions
  • Manages, coaches, and mentors a team of data engineers responsible for delivering strategic initiatives to provide insights for timely, data-driven decisions to the business stakeholders.
  • Leads design discussions with the team to support the development, deployment, testing, and maintenance of high-quality and optimal solutions related to data analysis, data discovery, data pipeline automation, and roll-out of compelling visualizations for business analysis.
  • Possesses solid conceptual knowledge of department tools and applications.
  • Guides and coaches the team to explore diverse source systems to discover data elements and understand business processes to design high value analytical solutions.
  • Serves as an expert consultant to internal technical and line of business teams.
  • Act as a primary contact for the business partner team for work prioritization, project sizing, resource allocation, delivery timelines, quality control, process map adherence, escalations, and project communication.
  • Follows agile methodology to deliver analytical solutions and manages JIRA for all deliverables to the business.
  • Leads conversations on project requirements, develops roadmaps, and provides project progress visibility to partner team executives and senior executives.
  • Leads strategic conversations, presents ideas, results, recommendations, and roadmaps to business stakeholders and executives.
  • Recruits new talent, ensures team's continuous technical development, and addresses any existing skill gaps.
  • Anticipate issues based on knowledge of internal data trends and propose solutions.
  • Defines and documents departmental processes and standards.
  • Leads projects to support modernization and innovation within the team.
  • Ensures that work and processes are well documented.
  • Performs other duties as assigned.
Position Requirements
  • Bachelor's Degree in Business, Mathematics, Statistics, Engineering, Computer Science, or related field
  • 7+ years of experience in business analysis, quantitative analytics, data science; preferably within the financial services industry
  • 6+ years of advanced experience using SQL (SQL Server, Oracle, Teradata etc.), data visualization (Tableau, Power BI etc.,), data integration (SSIS, Alteryx, Talend etc.,) and at least one analytical package such as SAS, Python, R, etc.
  • 2+ years of experience managing a team of analytical professionals.
  • Organizational and prioritization skills to manage multiple, competing priorities
  • Leadership skills to manage and mentor a team of analytical professionals across varying levels of skill and experience.
  • Excellent communication skills - and ability to thrive in a fast-paced complex environment
  • Experience developing requirements and testing analytic solutions collaboratively
  • Self-starter who is highly motivated, collaborative, and innovative.
  • Stays current with relevant technology advancements in the financial industry.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.
  • Knowledge of financial analysis, credit, profitability drivers as well as operational analytics
Preferred
  • Graduate degree in quantitative area such as mathematics, economics, engineering, computer science, operations research and equivalent industry experience
  • Strong financial analytical skills with the ability to read, interpret, and evaluate, financial time-series tracking reports (including vintage analysis).


Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers various credit card products for people in all financial life stages. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). Employees and the Bank may terminate the employment relationship at any time, with or without cause or notice. Please get in touch with the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.
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Technical Manager of Data Engineering

89102 Las Vegas, Nevada Insight Global

Posted 2 days ago

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Job Description

Job Description
As a Technical Manager of Data Engineering at Wynn, you will lead and manage data-centric projects to deliver impactful business outcomes. This role requires a blend of technical expertise, project management skills, and the ability to drive cross-functional teams. You will be responsible for planning, executing, and overseeing complex data engineering initiatives, ensuring they align with business objectives and deliver value.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
Minimum of 10+ years in an end-to-end cloud data engineering projects, including data governance, data lakes, data applications on cloud platforms, visualizations, advanced analytics/machine learning, and data warehousing
Strong skills in Snowflake, Azure Databricks, Airflow & other Azure Cloud Services
Strong understanding of Generative AI & other LLM driven data apps
Strong business-facing communication skills, especially with senior stakeholders.
Excellent people management skills and a track record of managing large and complex engagements.
Knowledge of change management methodologies and tools.
Ability to produce high-quality deliverables that meet client needs.
Experience in conducting design meetings and developing Level of Effort estimates.
Creative thinking and innovative problem-solving skills.
Ability to establish credibility with clients, build consensus, and achieve goals through influence.
Excellent interpersonal, communication, and people management skills.
Experience with third-party developers and vendors.
Proficiency in using scrum/agile practices with multiple vendor integrations.
Strong understanding of organizational goals and objectives.
Excellent written and oral communication skills.
Ability to communicate ideas in both technical and user-friendly language.
Ability to prioritize and execute tasks in a high-pressure environment.
Keen attention to detail and experience working in a team-oriented, collaborative environment.
Knowledge of data privacy practices and laws.
Willingness to work occasional evenings and weekends to meet deadlines.
Preferred qualifications include certifications in Snowflake, Azure, Airflow & other data technologies Lead and manage cross-functional delivery teams on data engineering projects.
Develop and maintain integrated technology solution architectures and roadmaps
Work with the project management and product management teams to track key milestones and deliverables.
Guide and coach the development team on best practices to achieve rapid development of data solutions.
Coordinate feature delivery and production releases in collaboration with the product owner.
Actively manage the development activities, including solution design, code reviews, code deployments
Participate & engage in delivery activities including sprint planning, demos, retrospectives, and standups.
Resolve impediments and issues, removing delays and distractions to ensure project progress.
Track sprint progress and strive to increase velocity and accuracy of sprint planning.
Perform hands-on project work, including analysis, design, process engineering, and change management.
Collaborate with business partners to enable iterative cycles of data gathering, visualization building, and optimization.
Identify opportunities for improvements and recommend them to key stakeholders.
Deliver regular updates to program leadership on project status.
Conduct regular stand-up and status meetings with stakeholders.
Represent the Data & Analytics IT team in multi-functional teams, possessing detailed knowledge of technical aspects and broader business objectives.
Manage standard project management processes, including scope, budget, schedule, risks, communication, and change.
Oversee the budget of the cloud data warehouse program and manage vendor contracts.
Coordinate work across multiple business and IT teams. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to
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Principal Engineer Data Engineering - US Remote

89105 North Las Vegas, Nevada Anywhere Real Estate

Posted 8 days ago

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Job Description

Anywhere is at the forefront of driving the digital transformation and building best-in-class products that help our agents and brokers sell more homes, make more money, and work more efficiently.

Data & Analytics (DNA) is Anywhere's data arm. We create innovative analytics, data science, and robust data foundation capabilities to generate data-driven insights that serve the heart of Anywhere Advisor and Anywhere Brand business. Together with our business counterparts in the real estate business, we work daily to deliver differentiating insights (AI & BI) for Strategy and AA & AB Operations.

We're seeking a Principal Engineer to join our Data Platform Team. In this critical position, you'll be responsible for designing, implementing, and managing the data infrastructure. You will work closely with data scientists, software engineers, and other stakeholders to ensure the Data Platform's availability, usability, and integrity.

Data Infrastructure Design and Implementation:

  • Evaluate, select, and implement new tools and frameworks to expand our data platform capabilities.

  • Design, build, and maintain robust, scalable, and reliable data pipelines and ETL processes.

  • Develop and maintain data infrastructure and platforms using various technologies (e.g., AWS, Snowflake Cloud Platforms, databases, Kafka streaming platforms).

  • Ensure data quality, consistency, and integrity across the organization.

  • Architect and optimize Data Ingestion and Snowflake ETLs.

  • Production Support and enhancements to the observability of the Data Platform.

Team Leadership and Mentorship:

  • Lead and mentor data engineers, providing guidance and support to junior engineers.

  • Foster a culture of technical excellence and continuous learning.

  • Collaborate with other teams (e.g., data scientists, software engineers, and product managers) to ensure data solutions meet business needs.

Data Security and Compliance:

  • Implement and maintain data security measures to protect sensitive data.

  • Ensure compliance with data protection regulations and industry standards.

Problem Solving and Innovation :

  • Identify and solve complex data-related problems.

  • Stay abreast of industry trends and emerging technologies and identify opportunities to enhance data capabilities.

  • Proactively address performance, scale, complexity, and security considerations.

Skills and Qualifications

Technical Expertise:

  • 10+ years' experience with a strong understanding of data engineering principles and technologies.

  • 10+ years' experience with data pipelines, ETL processes, and data warehousing.

  • 5+ years' experience building data pipelines using Kafka, Kafka Connect, Airflow, and Snowflake.

  • 5+ years' experience with Snowflake Data Platform.

  • 5+ years' experience with AWS Data Services such as DMS, EMR, Glue, Athena, S3, CloudWatch, Lambda, or IAM.

  • 5+ years' experience with Data Quality, Data Reconciliation

  • 5+ years' experience managing production data platforms.

  • 5+ years' experience building observability (Monitoring & Alerting) using tools such as Data Dog and M.

  • Proficiency in programming languages (e.g., Java, Python, SQL).

  • Knowledge of data governance, data modeling, and security best practices.

  • Proficiency in CI/CD, IAC, and Agile Development.

Leadership and Communication:

  • Strong leadership and mentoring skills.

  • Excellent communication and collaboration skills.

  • Ability to explain complex technical concepts to both technical and non-technical audiences.

Problem-Solving and Analytical Skills:

  • Ability to identify and solve complex problems.

  • Strong analytical skills to identify data quality issues and performance bottlenecks.

Anywhere Real Estate Inc. ( ? (NYSE: HOUS) is moving real estate to what's next. Home to some of the most recognized brands in real estate?Better Homes and Gardens® Real Estate ( ,?Century 21® ( ,?Coldwell Banker® ( ,?Coldwell Banker Commercial® ( ,?Corcoran® ( ,?ERA® ( , and?Sotheby's International Realty® ( , we fulfill our purpose to empower everyone's next move through our leading integrated services, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority owned joint ventures. Anywhere supports nearly 1 million home sale transactions annually and our portfolio of industry-leading brands turns houses into homes in more than 118 countries and territories across the world.

At Anywhere, we are empowering everyone's next move - your career included. What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. We pursue talent - strategic thinkers who are eager to always find a better way, relentlessly focus on talent, obsess about growth, and achieve exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report ( .

We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:

  • Great Place to Work

  • Forbes World's Best Employers

  • Newsweek World's Most Trustworthy Companies

  • Ethisphere World's Most Ethical Companies

EEO Statement: EOE including disability/veteran

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Principal Engineer Data Engineering - US Remote

89102 Las Vegas, Nevada Anywhere Real Estate

Posted 16 days ago

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Job Description

Anywhere is at the forefront of driving the digital transformation and building best-in-class products that help our agents and brokers sell more homes, make more money, and work more efficiently.
Data & Analytics (DNA) is Anywhere's data arm. We create innovative analytics, data science, and robust data foundation capabilities to generate data-driven insights that serve the heart of Anywhere Advisor and Anywhere Brand business. Together with our business counterparts in the real estate business, we work daily to deliver differentiating insights (AI & BI) for Strategy and AA & AB Operations.
We're seeking a Principal Engineer to join our Data Platform Team. In this critical position, you'll be responsible for designing, implementing, and managing the data infrastructure. You will work closely with data scientists, software engineers, and other stakeholders to ensure the Data Platform's availability, usability, and integrity.
**Data Infrastructure Design and Implementation:**
+ Evaluate, select, and implement new tools and frameworks to expand our data platform capabilities.
+ Design, build, and maintain robust, scalable, and reliable data pipelines and ETL processes.
+ Develop and maintain data infrastructure and platforms using various technologies (e.g., AWS, Snowflake Cloud Platforms, databases, Kafka streaming platforms).
+ Ensure data quality, consistency, and integrity across the organization.
+ Architect and optimize Data Ingestion and Snowflake ETLs.
+ Production Support and enhancements to the observability of the Data Platform.
**Team Leadership and Mentorship:**
+ Lead and mentor data engineers, providing guidance and support to junior engineers.
+ Foster a culture of technical excellence and continuous learning.
+ Collaborate with other teams (e.g., data scientists, software engineers, and product managers) to ensure data solutions meet business needs.
**Data Security and Compliance:**
+ Implement and maintain data security measures to protect sensitive data.
+ Ensure compliance with data protection regulations and industry standards.
**Problem Solving and Innovation** :
+ Identify and solve complex data-related problems.
+ Stay abreast of industry trends and emerging technologies and identify opportunities to enhance data capabilities.
+ Proactively address performance, scale, complexity, and security considerations.
Skills and Qualifications
Technical Expertise:
+ 10+ years' experience with a strong understanding of data engineering principles and technologies.
+ 10+ years' experience with data pipelines, ETL processes, and data warehousing.
+ 5+ years' experience building data pipelines using Kafka, Kafka Connect, Airflow, and Snowflake.
+ 5+ years' experience with Snowflake Data Platform.
+ 5+ years' experience with AWS Data Services such as DMS, EMR, Glue, Athena, S3, CloudWatch, Lambda, or IAM.
+ 5+ years' experience with Data Quality, Data Reconciliation
+ 5+ years' experience managing production data platforms.
+ 5+ years' experience building observability (Monitoring & Alerting) using tools such as Data Dog and M.
+ Proficiency in programming languages (e.g., Java, Python, SQL).
+ Knowledge of data governance, data modeling, and security best practices.
+ Proficiency in CI/CD, IAC, and Agile Development.
**Leadership and Communication:**
+ Strong leadership and mentoring skills.
+ Excellent communication and collaboration skills.
+ Ability to explain complex technical concepts to both technical and non-technical audiences.
**Problem-Solving and Analytical Skills:**
+ Ability to identify and solve complex problems.
+ Strong analytical skills to identify data quality issues and performance bottlenecks.
Anywhere Real Estate Inc. ( ? **(NYSE: HOUS) is moving real estate to what's next.** Home to some of the most recognized brands in real estate?Better Homes and Gardens® Real Estate ( ,?Century 21® ( ,?Coldwell Banker® ( ,?Coldwell Banker Commercial® ( ,?Corcoran® ( ,?ERA® ( , and?Sotheby's International Realty® ( , we fulfill our purpose to empower everyone's next move through our leading integrated services, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority owned joint ventures. Anywhere supports nearly 1 million home sale transactions annually and our portfolio of industry-leading brands turns houses into homes in more than 118 countries and territories across the world.
**At Anywhere, we are empowering everyone's next move - your career included.** What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. **We pursue talent** - strategic thinkers who are eager to always find a better way, relentlessly focus on talent, obsess about growth, and achieve exceptional results. **We value our people-first culture,** which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report ( .
We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:
+ Great Place to Work
+ Forbes World's Best Employers
+ Newsweek World's Most Trustworthy Companies
+ Ethisphere World's Most Ethical Companies
EEO Statement: EOE including disability/veteran
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Business Intelligence (BI) Consultant

89102 Las Vegas, Nevada Robert Half

Posted 1 day ago

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Job Description

Description
We are looking for a skilled Business Intelligence (BI) Consultant to join our team on a contract basis in Las Vegas, Nevada. This is a part-time, asynchronous consulting engagement that will equate to roughly 5 hours (+/-) per week for an estimated two months.
In this role, you will design and implement data-driven solutions that support key business decisions by creating interactive dashboards, reports, and visualizations. This position is ideal for a data enthusiast who excels at transforming raw information into actionable insights and thrives in a collaborative environment.
Responsibilities:
- Develop and deliver interactive dashboards, reports, and visualizations using BI tools such as Power BI, Tableau, or Looker.
- Collaborate with cross-functional teams to gather and understand business requirements and translate them into effective analytics solutions.
- Define and track key performance indicators (KPIs) to support organizational decision-making.
- Maintain and enhance data warehouses to ensure data accuracy, consistency, and accessibility.
- Write and optimize complex queries for data extraction, transformation, and validation.
- Uphold data governance and compliance standards to ensure data security and integrity.
- Document data models, reporting structures, and metadata for organizational reference.
- Perform data profiling and quality checks to identify and resolve discrepancies.
- Continuously assess and improve existing BI solutions to enhance usability and performance.
Requirements - Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
- At least 3 years of experience in a BI Developer, Data Analyst, or similar role.
- Proficiency in BI platforms such as Power BI, Tableau, or Qlik.
- Hands-on experience with data modeling, relational databases, and tools like SQL Server, Oracle, or Snowflake.
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Excellent communication skills, capable of conveying complex data concepts to non-technical stakeholders.
- Familiarity with data governance and compliance best practices.
- Ability to work collaboratively across departments to achieve business goals. Technology Doesn't Change the World, People Do.®
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .
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Entry-Level Business Intelligence Analyst

89105 North Las Vegas, Nevada SynergisticIT

Posted 8 days ago

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SYNERGISTICIT for the past 15 years we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
Candidates can benefit from skill enhancement if they fall into the below categories.
Candidates who Lack Experience or are freshers with No actual on Job experience with projects with clients Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD ) who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates









Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT

Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT

REQUIRED SKILLS For Java /Software Programmers
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, AWS, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Data Analyst Machine learning
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates
please only apply to the posting
No phone calls please. Shortlisted candidates would be reached out.
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