Data Analyst, Data Pipeline

SPINS

Data Analyst supporting data pipeline operations at SPINS, leveraging data to improve product insights and data quality while meeting cross-functional requirements.

Posted 7/9/2026full-timeChicago • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $55,000 - $60,000 per yearWebsite

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Our Product Intelligence data pipeline is continually onboarding and analyzing a massive amount of new food, nutrition, and consumer products onto our platform.
This requires ongoing data attribute creation, analysis, data accuracy, and maintaining rigorous food, nutrition, and product data standards and attribution.
The Data Analyst, Data Pipeline, operates as part of the team responsible for extracting, transforming, and delivering data from multiple sources within the Product Intelligence (PI) ecosystem.
This role supports the PI group’s needs around the Tasker tool.
Use a variety of tools and data languages (such as Excel, BigQuery, SQL, JSON, and others) to review large product datasets, design data extraction workflows, and optimize our data extraction processes.
This role will also work on the data transformations and mappings needed to deliver our Product Intelligence datasets to a variety of end recipients (both internal and external consumers of the data).
Work cross-functionally with a variety of team members across data operations, data pipeline, R&D, data quality, and customer support to continually improve our Product Intelligence attribute offerings, accuracy, and overall data quality.

Requirements

What you’ll need

Bachelor’s degree, preferably in Science, Computer Science, Data Analytics, Data Science, Statistics, Engineering, Business or Food Science
Strong attention to detail, with ability to analyze large volumes of product data to draw insights, guide product classifications, improve attribution, and support cross-organizational projects
Familiarity with Excel, JSON, relational databases, and/or other data management tools
A detailed-oriented, process-driven mindset used to identify, measure, and improve data classification processes
Adept at learning new technologies and business functions, working proactively to problem solve and take initiative
Ability to understand and interpret simple coding language, database infrastructure, and data structures
Self-motivated; able to work effectively in a fast-paced environment under pressure, adhering to deadlines
Ability to work independently as well as part of a cross-functional team
Minimum 1-2 years’ experience in related field
Exposure to retail or consumer packaged goods data
Familiarity with business intelligence data applications (e.g. PowerBI, etc.) and SQL or JSON languages
Experience/familiarity in food, dietary supplements, or personal care product labeling/regulatory knowledge, specifically health and wellness products.

Benefits

Comp & perks

We embrace hybrid work options so that you have the flexibility to create a work/life balance that actually works!
Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched.
Semi-annual company-wide employee survey that is used to shape company programs, perks, and culture.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ExtractionData TransformationData MappingData ClassificationData Management

Soft Skills

Attention to DetailProblem SolvingSelf-MotivatedTeam CollaborationProcess-Driven Mindset