Data Product Associate

• Ramp up quickly to become the primary owner of high-impact data products, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
• Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables
• Independently investigate and resolve complex data quality issues
• Serve as a trusted resource for internal and external stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage
• Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
• Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows, and mentor peers accordingly

• 3-5 years of experience in data analytics, data operations, or consulting
• 3+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
• Familiarity with Github and Databricks
• Experience using sample or panel data to make precise estimates that guide decision making
• Proven track record of quickly learning new concepts, particularly complex data methodologies
• Ability to clearly communicate complex concepts, both orally and in writing
• Strong ownership mentality and enthusiasm about making a big impact at a rapidly growing company
• Ability to manage multiple projects simultaneously, independently prioritize tasks and make strategic decisions based on client needs
• Enjoy mentoring peers and raising the quality bar through shared standards and best practices
• Legally authorized to work in the United States
• Will not require employer-based sponsorship for immigration-related employment benefits or visa status now or in the future

Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers with a strong understanding of their business needs

• Flexible work hours
• Flexible vacation
• Generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement