Senior Data Analyst

YipitData

20d•$170,000 - $209,000•Remote

About The Position

YipitData is seeking a Senior Data Analyst to join their Corporate team, focusing on building comprehensive views of consumer purchasing and engagement across various brands. This role involves transforming large volumes of consumer data into actionable insights to help clients understand and make high-confidence decisions. The Senior Data Analyst will be instrumental in expanding YipitData's coverage into new sectors by improving category classification, product attribution, and data accuracy. The position reports to the Head of Data and operates as a player-coach, balancing hands-on analysis with leadership responsibilities such as setting standards, improving workflows, cross-functional collaboration, and mentoring junior analysts. This is a remote-friendly opportunity within the US, with a preference for candidates who thrive in ambiguity, enjoy building systems from scratch, and want to shape the operationalization of new sectors at scale.

Requirements

8+ years of experience in data analytics, data operations, or consulting, including 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.
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.
Strong ownership mindset and enjoy building structure in fast-moving environments.
Strong communication skills and are able to work and project manage effectively with stakeholders across both technical and non-technical teams.

Nice To Haves

Familiarity with Github and Databricks.
GitHub familiarity a plus.
Databricks familiarity a plus.

Responsibilities

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 GTM 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.