Retail Data & Benchmarking Lead

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

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,