Data Analyst, Data Pipeline

Who We Are

For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health & Wellness industry, the values-based consumer. Nearly half of shoppers prioritize products that emphasize wellness, social responsibility, and sustainable practices. SPINS retail consumer insights, analytics, and consulting services give our clients a competitive advantage to increase their share of this growing market. Our data is the most comprehensive and accurate in the industry, allowing clients to power AI models and machine learning algorithms that help them better understand and meet their customers’ needs. At SPINS, behind all of our impressive data is our real differentiator, our people. We pride ourselves on our collaborative, flexible, and communicative culture that puts people at the center of everything we do.

Data Analyst, Data Pipeline

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.

To support our data pipeline, 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. Tasker is the core technology the PI Engine uses to collect, extract, and deliver data to different endpoints, leveraging a variety of data collection services: automations (data science), internal product research team, external MTurkers.

To do this work, the Analyst will use a variety of tools and data languages (such as Excel, BigQuery, SQL, JSON, and others). They will use those tools to review large product datasets, design data extraction workflows, and to optimize our out 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).

This role will work cross-functionally with a variety of team members across data operations, data pipeline, R&D, data quality, and customer support. These interactions will have a focus on continually improving our Product Intelligence attribute offerings, accuracy, and overall data quality.

Product Intelligence data is the fuel for SPINS programs and the backbone of SPINS health & wellness insights. As such, Product Intelligence is one of the major pillars of SPINS and therefore it is essential to our success that this role upholds the tenets of data harmonization, attribute data creation and adherence to quality standards, continuous process improvement, and increases the overall quality across our data pipeline processes. This role is an excellent entry point for exposure to the world of big data for health and wellness CPG.

Qualifications Required:

• 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 sol…