Mgr, Retailer Data Exchange & Benchmark Research

Numerator / Market Track, LLC; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Volunteer time off and charitable don0

Job summary

Numerator is seeking a Manager of Retailer Data & Benchmark Research to lead development, validation, and optimization of retailer-level benchmarks and external signals powering our panel data products. This role sits at the intersection of data science, analytics, and product and is critical to ensuring our data accurately reflects real-world retail dynamics.

You will partner with Product, Engineering, Data Science, Operations, and Clients to translate complex data into actionable insights,

Qualifications

• 7+ years of hands-on experience in Data Science, Analytics, or a closely related field, with at least 2 years leading cross functional projects as manager or team lead
• BS, Masters, or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science
• Experience working with panel data, POS data, or large-scale consumer datasets
• Familiarity with calibration, benchmarking, or statistical modeling concepts
• Proven track record of supporting internal and external customers through development of tools, best practices, processes, and programs
• Strong stakeholder management and cross-functional collaboration skills
• Advanced SQL & Python & modeling skills

Responsibilities

• Own the design, evolution, and performance of retailer-level benchmarks used in calibration.
• Identify and integrate external data sources (e.g., POS, syndicated data, retailer signals).
• Partner with Data Science to refine calibration methodologies and ensure benchmarks reflect channel, retailer, and shopper differences.
• Define and monitor data quality and benchmark performance metrics, including drift.
• Lead analysis of discrepancies between panel data and external benchmarks, identifying and articulating root causes.
• Develop scalable frameworks to distinguish expected variability from true data issues and operationalize AI-enabled investigative workflows.
• Conduct deep-dive analyses of retailer and category trends to inform product and calibration improvements.
• Translate complex data behaviors into clear insights for internal stakeholders and clients.
• Establish guidelines for interpreting meaningful vs. immaterial data movement.
• Partner with Product, Engineering, Data Science, Operations, and Client teams to align priorities and operationalize solutions.
• Support go-to-market efforts by articulating data strengths, limitations, and appropriate use cases.
• Serve as a subject matter expert on retailer data, benchmarks, and calibration strategy.
• Build scalable processes, dashboards, and reporting to improve visibility into data quality and benchmark performance.
• Drive continuous improvement in calibration and validation processes.
• Stay current on GenAI capabilities and translate emerging technologies into practical applications for data quality and analytics.

Skills

Data Science

Analytics

Cross-functional leadership

Data quality & validation

Stakeholder management

Statistical thinking

Panel data experience

Education

BS, Masters, or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or related quantitative field

Tools

SQL

Python

Statistical modeling

Job description

Location: Chicago, IL, USA

Req#: 611403

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Numerator is seeking a Manager of Retailer Data & Benchmark Research to lead the development, validation, and ongoing optimization of retailer-level benchmarks and external calibration signals that power our panel data products. This role sits at the intersection of data science, analytics, and product, and is critical to ensuring our data accurately reflects real-world retail dynamics.

You will be responsible for the continued evolution of how we incorporate external signals into our ecosystem, evaluating data quality, and translating complex data behaviors into clear, actionable insights for internal teams and clients.

How You’ll Spend Your Time:

Benchmark Development

• Own the design, evolution, and performance of retailer-level benchmarks used in calibration.

• Identify and integrate external data sources (e.g., POS, syndicated data, retailer signals).

• Partner with Data Science to refine calibration methodologies and ensure benchmarks reflect channel, retailer, and shopper differences.

Data Quality & Validation

• Define and monitor key data quality and benchmark performance metrics, including drift.

• Lead analysis of discrepancies between panel data and external benchmarks, identifying and articulating root causes.

• Develop scalable frameworks to distinguish expected variability from true data issues and operationalize AI-enabled investigative workflows.

Research & Insights

• Conduct deep-dive analyses of retailer and category trends to inform product and calibration improvements.

• Translate complex data behaviors into clear insights for internal stakeholders and clients.

• Establish guidelines for interpreting meaningful vs. immaterial data movement.

Cross-Functional Leadership

• Partner with Product, Engineering, Data Science, Operations, and Client teams to align priorities and operationalize solutions.

• Support go-to-market efforts by articulating data strengths, limitations, and appropriate use cases.

• Serve as a subject matter expert on retailer data, benchmarks, and calibration strategy.

Process, Tooling & Innovation

• Build scalable processes, dashboards, and reporting to improve visibility into data quality and benchmark performance.

• Drive continuous improvement in calibration and validation processes.

• Stay current on GenAI capabilities and translate emerging technologies into practical applications for data quality and analytics.

Skills & Requirements

• 7+ years of hands-on experience in Data Science, Analytics, or a closely related field, with at least 2 years leading cross functional projects as manager or team lead

• BS, Masters, or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science

• Experience working with panel data, POS data, or large-scale consumer datasets

• Familiarity with calibration, benchmarking, or statistical modeling concepts

• Proven track record of supporting internal and external customers through development of tools, best practices, processes, and programs

• Strong stakeholder management and cross-functional collaboration skills

• Advanced SQL & Python & modeling skills

What We Offer:

• An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.

• Market competitive total compensation package.

• Volunteer time off and charitable donation matching.

• Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.

There is strength in numbers - We are the Numerati

Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.

Being part of the Numerati means that we’ll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more — we’re always finding ways to better support, celebrate and accelerate our team.