Market Research & Analytics Intern

Northeast Grocery•City of Schenectady, NY

1d•$18•Onsite

About The Position

This is a 10 week program and all opportunities are located on-site. Program dates: East: Mon, Jun 1, 2026 – Fri, Aug 7, 2026 The Market Research & Analytics Intern supports the Market Intelligence team by helping generate actionable insights through market research and applied analytics. Reporting to the Director, Shopper Experience & Research and working closely with a Market Intelligence Analyst, this role will focus on exploratory analysis to help the team determine which customer-facing KPIs are most predictive of business outcomes (e.g., sales performance, trips, retention, and market share movement where measurable). The intern will then support research-based statistical analyses to understand which attributes, perceptions, and behaviors most influence those KPIs—helping the team connect measurement to action by recommending what to track, why it matters, and which levers are most likely to drive performance.

Requirements

Working knowledge of applied analytics and research concepts (e.g., hypothesis testing, statistical significance, variance comparisons, regression fundamentals).
Proficiency in Excel (including pivot tables, charts, and structured data organization).
Experience with at least one analytical tool/language (e.g., R, Python, SPSS, SAS, or similar).
Ability to explain analytical findings and recommendations clearly to non-technical audiences (written and verbal).
Strong organizational skills, attention to detail, and ability to manage milestones within a structured internship timeline.
Undergraduate junior or senior, or graduate student pursuing a degree in Marketing Research, Analytics, Statistics, Economics, Psychology, Data Science, Business Analytics, or similar discipline.
Ability to work full-time (40 hours per week) Monday through Friday for the duration of the internship program (Monday, June 1st through Friday, August 7th).
Ability to deliver a final internship presentation summarizing work, insights, and recommendations at the end of the program.
Demonstrated ability to exercise good judgment and discretion when working with confidential and privileged information, including internal materials that may not be ready for public or broad internal distribution.

Nice To Haves

Coursework or project experience in quantitative research methods, statistics, or behavioral analytics preferred.
Prior internship, academic project, or applied experience with survey data and/or consumer insights is a plus.
Interest in retail, customer experience, and consumer behavior strongly preferred.

Responsibilities

KPI Discovery, Validation & Recommendation (Exploratory): Support exploratory analysis that connects customer attitudes/behaviors and experience metrics to measurable business outcomes (e.g., sales, trips, share, retention, market share movement where measurable). Assess candidate KPIs and recommend which should be prioritized based on predictive strength and practical usefulness (e.g., signal vs. noise, stability over time, sensitivity to change, diagnostic/root-cause value, ease of measurement, and actionability).
Outcome Modeling & Driver Identification: Once priority KPIs are identified, support analysis that quantifies relationships between customer perceptions/behaviors and those outcomes. Assist in identifying “highest utility” drivers that best explain differences in KPI performance across customer segments, markets, and store groups.
Applied Statistical Methods (Under Guidance): Help apply research-based statistical approaches to explore and validate KPI-driver relationships (examples may include ANOVA/variance testing, correlation screening, regression/GLM, feature selection, segmentation cuts). Document assumptions, limitations, and recommended interpretation for non-technical audiences.
Market Research Support: Assist in the analysis of primary and secondary research (e.g., customer surveys, experience measurement, competitive comparisons). Help connect findings to business questions and translate results into decision-ready insights.
Insight Development & Storytelling: Translate analytical outputs into “so what / now what” recommendations—what KPIs matter most, why they matter, how they should be tracked, and which actions/levers (experience improvements, messaging opportunities, loyalty/digital tactics, etc.) are most likely to move priority KPIs and, ultimately, business outcomes.
Data Preparation & Quality: Support data cleaning, formatting, and validation for research and customer datasets. Maintain organized working files, reproducible steps, and clear documentation.
Data Visualization & Reporting: Create clear tables, charts, and summary views for internal reporting and presentations. Help build executive-friendly outputs (ranked drivers, KPI evaluation scorecards, recommended metric dashboards/one-pagers).
Collaboration & Communication: Partner with Market Intelligence team members and cross-functional stakeholders (as needed) to align analysis outputs to business questions and ensure deliverables are usable for action planning.
Process Improvement / Repeatable Templates: Help create a reusable “KPI evaluation + driver analysis” toolkit (inputs → method → outputs) that can be applied to future studies and recurring market summaries.
Confidentiality & Information Stewardship: Maintain appropriate confidentiality of company, customer, vendor, and competitive information. The intern will have access to sensitive insights, analyses, and materials that may be pre-decisional and not intended for broad distribution. Use discretion when discussing work, follow established data-handling and sharing guidelines, and escalate questions about appropriate sharing/visibility to the Market Intelligence Analyst or Director.