Data Product Associate, Corporate
New
Y
YipitDataMarket Research
This role may be performed fully remotely within the United States.Full-TimeMiddle
SalaryThe annual on-target earnings for this position is anticipated to be up to $122K annually.
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Job Details
- Experience
- 3–5 years
- Required Skills
- PythonSQLData AnalysisDatabricksGitHubPySpark
Requirements
- 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
- Proven track record of quickly learning new, complex data methodologies
- Ability to clearly communicate complex concepts orally and in writing
- Strong ownership mentality and ability to make strategic decisions based on client needs
- Experience managing multiple projects simultaneously and independently prioritizing tasks
- Interest in mentoring peers and raising quality bars
- Strong understanding of brand manufacturer and/or retailer business needs preferred
Responsibilities
- 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 and 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 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
- Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and mentor peers
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