Senior Data Analyst

YipitData is a market research and analytics firm that transforms alternative data into actionable insights for investment funds and Fortune 500 companies. The Senior Data Analyst will lead data strategy and execution for emerging sectors, improve data quality and workflows, develop categorization frameworks, and coach analysts while collaborating with cross-functional teams.

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

Requirements:

• You have 8+ years of experience in data analytics, data operations, or consulting, including 2+ years in a lead or management capacity
• You have 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
• You have strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies
• You are comfortable with SQL and Python (or similar tools) and have experience building and maintaining production-grade data workflows
• Databricks, Spark, GitHub familiarity a plus
• You have a strong ownership mindset and enjoy building structure in fast-moving environments
• You have strong communication skills and are able to work and project manage effectively with stakeholders across both technical and non-technical teams
• Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship