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Senior Data Analyst, Financial & Investment Insights

NielsenIQ nielseniq.com Open
Hybrid Boston Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at NielsenIQ. Boston · full-time · $69,800–$100,000 base.

SalaryStated by NielsenIQ
$69,800 – $100,000
Base salary for this role, in USD per year, as published in the posting.
This role, from NielsenIQOur estimate for the market: $114,803–$182,500Median $135,000
Below the market median of $135,000 for senior data analysis & BI roles in Boston.
Worked out from 20 postings that stated pay, median $135,000. Last updated Nov 6, 2026.
RoleData Analysis & BI
SenioritySenior
LocationBoston
WorkplaceHybrid
EmploymentFull-time
Base pay$69,800–$100,000
PostedNov 4, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Guide clients using financial datasets and help prospects test new data through trials and proof-of-concept work
  • Discuss how datasets are built, assess their quality, and explore how investors can apply them
  • Use statistical methods and quantitative models to find trends, patterns, and signals in large datasets
  • Link company and sector performance to findings from e-commerce and consumer data, then create client-ready research
  • Work with product and technical teams to improve data coverage, methods, and analytical products for investors

What you bring

  • A bachelor’s degree in a quantitative area such as statistics, engineering, or another listed discipline
  • Professional experience in analytics, research, financial services, consulting, data science, or a related area
  • Applied skills in regression, statistical inference, imputation, and time-series analysis, plus proficiency in Python, R, SAS, or MATLAB
  • Strong SQL, relational database experience, advanced Excel skills, and the ability to turn complex data into useful insights

Who this fits

This role suits a senior analyst who can explain quantitative findings to sophisticated clients and work across research, product, and commercial teams. The position is based in Boston and is hybrid.

From the employer

About This Job

At NIQ, we are the world’s leading consumer intelligence company, delivering the most complete and trusted understanding of consumer buying behavior. By combining advanced technology, rich data assets, and powerful analytics, we help organizations make smarter decisions, uncover growth opportunities, and navigate increasingly complex markets with confidence.

The Financial Services Data Research Team supports the global investment community through high-quality datasets, research, and analytical expertise. Our clients include Hedge Funds, Mutual Funds, Pension Funds, and Quantitative Investment Firms that rely on our data products to generate investment insights and better understand market dynamics. The team works closely with Product, Data Science, Commercial, and Client Success functions to deliver exceptional value to sophisticated financial market participants.

As a Lead Research Analyst, Data Feeds, you will serve as a subject matter expert for NIQ’s financial services datasets, partnering directly with clients to help them understand, evaluate, and leverage our data solutions. This role offers a unique opportunity to combine advanced analytics, statistical modeling, client engagement, and financial market knowledge in a highly visible position that directly impacts client success, product adoption, and business growth.

Responsibilities

  • Serve as a primary point of contact for clients utilizing NIQ’s financial services datasets, providing expert guidance and analytical support.
  • Support data trials and proof-of-concept initiatives for prospective and existing clients evaluating new datasets.
  • Conduct deep-dive discussions with clients regarding underlying data methodologies, data quality, and investment applications.
  • Develop statistical analyses and quantitative models to identify meaningful trends, patterns, and signals within large datasets.
  • Analyze drivers of company and sector performance and connect those drivers to insights generated from NIQ’s e-commerce and consumer datasets.
  • Create client-facing research, presentations, and analytical materials that translate complex data into actionable investment insights.
  • Collaborate with Product, Data Science, Technology, Commercial, and Client Success teams to enhance existing data products and develop new solutions.
  • Identify opportunities to improve data coverage, methodologies, and analytical frameworks that increase value for investment clients.
  • Stay informed on financial markets, investment trends, and emerging analytical techniques to continuously elevate the team’s capabilities.

Required Qualifications

  • Bachelor’s degree in Statistics, Engineering, Economics, Finance, Mathematics, or another highly quantitative discipline.
  • Professional experience in Analytics, Research, Financial Services, Consulting, Data Science, or a related field.
  • Strong applied statistical expertise, including:
  1. Regression analysis
  2. Statistical inference
  3. Data imputation techniques
  4. Time-series analysis
  • Proficiency in Python, R, SAS, or MATLAB.
  • Strong SQL skills and experience working with relational databases.
  • Advanced Microsoft Excel capabilities.
  • Demonstrated ability to transform large and complex datasets into actionable business insights.
  • Excellent verbal, written, and presentation skills with the ability to communicate effectively to sophisticated client audiences.
  • Strong organizational, planning, and project management skills.
  • Ability to thrive in a fast-paced, collaborative, and client-facing environment.

Preferred Qualifications

  • Experience within Asset Management, Hedge Funds, Mutual Funds, Pension Funds, or Quantitative Investment environments.
  • Consulting, investment research, or financial analytics experience.
  • Familiarity with e-commerce, consumer, retail, or alternative datasets.
  • MBA, Master’s degree in Financial Mathematics, Statistics, Economics, or a related field.
  • Experience building quantitative models that inform investment decisions.
  • Strong understanding of capital markets, investment strategies, and macroeconomic drivers.
  • Demonstrated curiosity and passion for learning new analytical methodologies, technologies, and financial market concepts.

This role has a market-competitive salary with an anticipated base compensation of the following range: $ 69,800 - $ 100,000 USD.  Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. Other benefits include flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.  

US Benefits

  • Comprehensive healthcare plan (medical, Rx, dental, and vision).
  • Flexible spending accounts and a Health Savings Account (including company contributions).
  • Life and AD&D insurance.
  • 401(k) retirement plan including company matching contributions.
  • Disability insurance.
  • Tuition Reimbursement.
  • Discretionary paid time off program and 11 paid holidays.
  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

Job ID: R26_0023432|US

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI$60k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.