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Senior Analyst, Data Science and Analytics

Uplers
Full Timesenior
INPosted 7 weeks ago

Role Overview

Uplers is hiring a Senior Analyst, Data Science and Analytics. This is a full-time role in IN. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job Description

As a Sr Analyst in Data Science and Analytics for TransUnion, you will have the opportunity to work on multi-million dollar customer engagements and collaborate with senior data scientists. Your role will involve analyzing quantitative marketing data to identify business drivers for Fortune 500 companies and develop expertise at the intersection of big data, marketing, and consulting.

Key Responsibilities:

  • Help clients understand their customers and prospects, improve customer experiences, evaluate marketing effectiveness, and provide actionable insights for improvement.
  • Translate business needs into data analysis questions, gather data from multiple sources, and work with data scientists to derive new insights.
  • Implement unified analytics solutions to address marketing effectiveness, ROI, segmentation, pricing, and environmental factors.
  • Collaborate with senior data scientists to ensure model quality, implement attribution and marketing mix models, and analyze big data sets to generate insights on consumer behavior.
  • Validate model results, create client-friendly reports, ensure quality control, and collaborate with various teams across the firm to improve processes.

Qualifications Required:

  • Bachelors degree with a background in mathematics or engineering.
  • Minimum 1-3 years of quantitative analytics experience, preferably with knowledge of marketing metrics.
  • Proficiency in Python for at least 2 years, along with Excel and SQL.
  • Strong written and verbal communication skills.
  • Ability to manage multiple projects with a cross-functional team.
  • Willingness to learn in a fast-paced environment and adapt to different situations.
  • Familiarity or interest in data analytics concepts such as multivariate regression, Bayesian statistics, machine learning, and forecasting.

Joining TransUnion as a Sr Analyst in Data Science and Analytics will allow you to work on challenging projects, interact with top marketing leadership, and contribute to fact-based decision-making processes. If you are looking for a dynamic work environment where you can grow your career, apply today and take the next step towards a rewarding opportunity. As a Sr Analyst in Data Science and Analytics for TransUnion, you will have the opportunity to work on multi-million dollar customer engagements and collaborate with senior data scientists. Your role will involve analyzing quantitative marketing data to identify business drivers for Fortune 500 companies and develop expertise at the intersection of big data, marketing, and consulting.

Key Responsibilities:

  • Help clients understand their customers and prospects, improve customer experiences, evaluate marketing effectiveness, and provide actionable insights for improvement.
  • Translate business needs into data analysis questions, gather data from multiple sources, and work with data scientists to derive new insights.
  • Implement unified analytics solutions to address marketing effectiveness, ROI, segmentation, pricing, and environmental factors.
  • Collaborate with senior data scientists to ensure model quality, implement attribution and marketing mix models, and analyze big data sets to generate insights on consumer behavior.
  • Validate model results, create client-friendly reports, ensure quality control, and collaborate with various teams across the firm to improve processes.

Qualifications Required:

  • Bachelors degree with a background in mathematics or engineering.
  • Minimum 1-3 years of quantitative analytics experience, preferably with knowledge of marketing metrics.
  • Proficiency in Python for at least 2 years, along with Excel and SQL.
  • Strong written and verbal communication skills.
  • Ability to manage multiple projects with a cross-functional team.
  • Willingness to learn in a fast-paced environment and adapt to different situations.
  • Familiarity or interest in data analytics concepts such as multivariate regression, Bayesian statistics, machine learning, and forecasting.

Joining TransUnion as a Sr Analyst in Data Science and Analytics will allow you to work on challenging projects, interact with top marketing leadership, and contribute to fact-based decision-making processes. If you are looking for a dynamic work environment where you can grow your career, apply today and take the next step towards a rewarding opportunity.

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Frequently Asked Questions

How do I apply for the Senior Analyst, Data Science and Analytics position at Uplers?

Use the Apply button above to submit your application directly to Uplers. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Analyst, Data Science and Analytics position at Uplers located?

This position is based in IN. Uplers has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Analyst, Data Science and Analytics at Uplers earn?

Uplers has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Analyst, Data Science and Analytics role at Uplers posted?

This role was posted on May 7, 2026 (51 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Analyst, Data Science and Analytics role at Uplers require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Uplers lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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