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Senior Data Analyst, Financial & Investment Insights

Pay
USD 69,800–100,000/year · BaseAnnual period assumed. Location-specific pay — pay source
Additional Information 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. #LI-Hybrid
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Support data trials and proof-of-concept initiatives for prospective and existing clients evaluating new datasets.

  • 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.

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Statistics, Engineering, Economics, Finance, Mathematics, or another highly quantitative discipline.
  • Proficiency in Python, R, SAS, or MATLAB.
  • Strong SQL skills and experience working with relational databases.
  • Demonstrated ability to transform large and complex datasets into actionable business insights.
  • Ability to thrive in a fast-paced, collaborative, and client-facing environment.

Preferred experience

  • Experience within Asset Management, Hedge Funds, Mutual Funds, Pension Funds, or Quantitative Investment environments.
  • Familiarity with e-commerce, consumer, retail, or alternative datasets.
  • Experience building quantitative models that inform investment decisions.
  • Strong understanding of capital markets, investment strategies, and macroeconomic drivers.
Qualification wording
Bachelor’s degree in Statistics, Engineering, Economics, Finance, Mathematics, or another highly quantitative discipline.
Proficiency in Python, R, SAS, or MATLAB.
Strong SQL skills and experience working with relational databases.
Demonstrated ability to transform large and complex datasets into actionable business insights.
Ability to thrive in a fast-paced, collaborative, and client-facing environment.
Experience within Asset Management, Hedge Funds, Mutual Funds, Pension Funds, or Quantitative Investment environments.
Familiarity with e-commerce, consumer, retail, or alternative datasets.
Experience building quantitative models that inform investment decisions.
Strong understanding of capital markets, investment strategies, and macroeconomic drivers.
Education & alternatives
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.
- 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.

About NielsenIQ

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.

In the employer’s words · Read in context

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

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How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

NielsenIQ is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down quickly
  • 19% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SAS
  • SQL
  • Excel
  • MATLAB
Where the posting names them
- Time-series analysis - Proficiency in Python, R, SAS, or MATLAB. - Strong SQL skills and experience working with relational databases.
- Proficiency in Python, R, SAS, or MATLAB. - Strong SQL skills and experience working with relational databases. - Advanced Microsoft Excel capabilities.
- 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.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Job Description

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. 

#LI-Hybrid

Qualifications

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. 

Additional Information

    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.   
    #LI-Hybrid

    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

    Want to keep up with our latest updates?

    Follow us on: LinkedIn | Instagram | Twitter | Facebook

    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

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    Pay
    Additional Information 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. #LI-Hybrid
    Location & working pattern

    Boston, MA, United States

    - Stay informed on financial markets, investment trends, and emerging analytical techniques to continuously elevate the team’s capabilities. #LI-Hybrid Qualifications
    More source context
    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. #LI-Hybrid US Benefits
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