Own data strategy and execution for a portfolio of client deliverables within new sectors, driving product success through a focus on accuracy, client value, and efficiency, and partnering closely with product and revenue leaders to set and hit ambitious targets
Serve as a subject-matter expert for emerging sector data, partnering with GTMl teams on client conversations to explain methodologies, address questions, and ensure our data solutions align with client needs
Investigate and resolve data quality issues, proactively troubleshooting client- or internal QA concerns, and implementing scalable fixes
Design, standardize, and maintain scalable workflows, ensuring consistency and efficiency as coverage expands
Own and evolve sector categorization frameworks, including maintaining and enhancing core sector taxonomies and building custom categorizations for sector-specific clients
Operate as a player-coach, setting a high bar for quality, speed, and innovation while mentoring and empowering your team to do their best work
Partner cross-functionally with other teams, including Data, Insights, Revenue, and Engineering to uncover and execute on opportunities to further drive ARR growth and optimize our processes and pipelines

Requirements

6+ years of experience in data analytics, data operations, or consulting, including 1–2 years in a lead or management capacity
4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks
Strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies
Comfortable with SQL and Python (or similar tools) and have experience building and maintaining production-grade data workflows (Databricks, Spark, GitHub familiarity a plus)
Strong ownership mindset and enjoy building structure in fast-moving environments
Strong communication skills and able to work and project manage effectively with stakeholders across both technical and non-technical teams
Preferred: Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers, with a strong understanding of their business needs.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsdata operationsSQLPythonPysparkdata workflowsdata qualitydata categorizationdata transformationdata solutions

Soft Skills

communicationproject managementownership mindsetmentoringcross-functional collaborationproblem-solvingleadershipinnovationefficiencyclient value focus