Data Analyst, Data Pipeline

Role Overview

Our Product Intelligence data pipeline is continually onboarding and analyzing a massive amount of new food, nutrition, and consumer products onto our platform.

• Perform ongoing data attribute creation, analysis, data accuracy, and maintain rigorous food, nutrition, and product data standards and attribution.
• Operate as part of the team responsible for extracting, transforming, and delivering data from multiple sources within the Product Intelligence (PI) ecosystem.
• Support the PI group’s needs around the Tasker tool.
• Use a variety of tools and data languages (such as Excel, Big Query, SQL, JSON, and others) to review large product datasets, design data extraction workflows, and optimize our data extraction processes.
• 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.

• 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.

Demonstrates expertise in data analysis, data extraction, and transformation processes, with a strong focus on maintaining data accuracy and quality standards. Proficient in utilizing various data management tools and languages to support product intelligence initiatives in the food and consumer products sector.