Data Operations Intern - Summer 2026

broadhead.•Minneapolis, MN

6d•$20•Onsite

About The Position

Data Operations Intern, Data Science & Analytics This role is designed for someone who wants to understand how clean, well-structured data enables stronger models, better forecasts and more confident business decisions across our analytics work. You are curious by nature and motivated to understand not just what the data says, but how and why it behaves the way it does. You are interested not only in analyzing results but in building and maintaining the data foundation that makes modeling, forecasting, and advanced analysis possible. What you’ll do: Work across a wide range of marketing and business data sources, including web analytics, paid media platforms, retail data and third-party datasets Support and maintain existing data pipelines that move data from disparate sources into our own data warehouse Document and evaluate how data is collected, transformed, joined and made available for downstream analysis and modeling Help improve data consistency, reliability and structure so that it can be confidently used in reporting, forecasting and marketing mix modeling Partner with Data Analysts and Econometrics staff to understand how data quality and structure directly affect model outputs and insights Assist in preparing modeling-ready datasets that go beyond reporting and are used to understand performance drivers and project future outcomes Explore opportunities to improve internal processes or evaluate alternative tools and vendors that could strengthen our data infrastructure Perform quality checks to identify missing data, schema changes, unexpected volatility and other issues that could impact analysis or models Perform other duties as assigned Traits for success: You are naturally inclined to think in systems and enjoy understanding how data flows from source to model You are comfortable working with structured data and are eager to deepen your skills in SQL and relational databases You are interested in working with modern analytics stacks and data pipelines that land data from disparate platforms into a centralized cloud data warehouse such as Google BigQuery. Experience with resources for data transformation, validation or modeling support is a strong plus. (Think R, SQL and or Python.) Familiarity with Extract, Transform & Load (ETL) tools such as Funnel.io or similar platforms is helpful but not required to apply You are interested in modeling, forecasting or econometrics and understand that strong models start with strong data You can move comfortably between technical detail and business context, explaining not just what changed but why it matters You are not limited to a single career label. This role can position you for future growth as a data analyst, analytics engineer or econometrics specialist Prior experience in advertising or marketing is not required. Curiosity, rigor and a desire to learn matter more than industry background Compensation Details: This is a paid internship: $20/hour for approximately 40 hours per week in-person at our Minneapolis office Interns will earn Sick and Safe Time in accruals based on hours worked Applicants MUST read the How To Apply details in the Internship section of our website. You will need to prepare additional materials outlined there to complete the application. We are an equal opportunity employer. Candidates must be authorized to work in the United States without current or future employer sponsorship.

Requirements

You are naturally inclined to think in systems and enjoy understanding how data flows from source to model
You are comfortable working with structured data and are eager to deepen your skills in SQL and relational databases
You are interested in working with modern analytics stacks and data pipelines that land data from disparate platforms into a centralized cloud data warehouse such as Google BigQuery
You are interested in modeling, forecasting or econometrics and understand that strong models start with strong data
You can move comfortably between technical detail and business context, explaining not just what changed but why it matters
You are not limited to a single career label
Candidates must be authorized to work in the United States without current or future employer sponsorship.

Nice To Haves

Experience with resources for data transformation, validation or modeling support is a strong plus. (Think R, SQL and or Python.)
Familiarity with Extract, Transform & Load (ETL) tools such as Funnel.io or similar platforms is helpful but not required to apply
Prior experience in advertising or marketing is not required. Curiosity, rigor and a desire to learn matter more than industry background

Responsibilities

Work across a wide range of marketing and business data sources, including web analytics, paid media platforms, retail data and third-party datasets
Support and maintain existing data pipelines that move data from disparate sources into our own data warehouse
Document and evaluate how data is collected, transformed, joined and made available for downstream analysis and modeling
Help improve data consistency, reliability and structure so that it can be confidently used in reporting, forecasting and marketing mix modeling
Partner with Data Analysts and Econometrics staff to understand how data quality and structure directly affect model outputs and insights
Assist in preparing modeling-ready datasets that go beyond reporting and are used to understand performance drivers and project future outcomes
Explore opportunities to improve internal processes or evaluate alternative tools and vendors that could strengthen our data infrastructure
Perform quality checks to identify missing data, schema changes, unexpected volatility and other issues that could impact analysis or models
Perform other duties as assigned