Senior Data Analyst

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to...

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery...

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.

YipitData’s Corporate team collaborates directly with organizations like Summer Fridays, 3M, and Uber to  build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why—and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. 
Over the years, we’ve delivered high-impact insights across core retail sectors, and our clients have found this data so valuable that demand has expanded into new sectors.To meet this growing demand, we are expanding our Data team within the Corporate practice and are looking for a Senior Data Analyst to lead our new sectors. This role is a unique opportunity to shape how YipitData enters and scales coverage in entirely new verticals.
The Sectors Data team is responsible for taking YipitData’s core retail metrics and making them usable and reliable in new verticals—through improved category classification, more precise product attribution, and continuously increasing data accuracy as coverage evolves.You will work closely with our Insights team to understand what clients in new sectors truly need, then rapidly and iteratively transform the data to deliver those insights  You’ll play a critical role in building the methodologies, workflows, and quality standards that allow these sectors to scale. 
You’ll report to the Head of Data and operate as a player-coach, balancing hands-on analytical ownership with responsibility for setting standards, improving workflows, collaborating with cross-stakeholders, and coaching analysts on your team.
This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys building systems from the ground up, and wants to shape how new sectors are operationalized at scale.
This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Mountain View, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. 
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
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