Senior Data Analyst

Bazeta; New York, Austin, Miami, Mountain View (NY, TX, FL, CA); Remote; USD 90,000 - 150,000; Full time

Job summary

YipitData in the United States is seeking a Senior Data Analyst to lead data strategy for new sectors and scale analytics across client projects. You will drive accuracy, efficiency, and value, partnering with product, revenue, and engineering to shape solutions that unlock growth.

Ideal candidates have 8+ years in data analytics or related fields, with 2+ years in leadership, and strong SQL/Python/Pyspark skills. This remote-friendly role sits in NYC or US hubs, with NY tax considerations.

Qualifications

• 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.
• Familiarity with Github and Databricks.

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.
• 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.

Skills

Data analytics

Leadership

SQL

Python

Pyspark

Tools

Github

Databricks

Job description

# Senior Data AnalystUnited States10 hours agoID 4259518Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: YipitDataLevel: Senior## DescriptionAbout Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. 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 rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. 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. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: • Ownership That Matters : You’ll lead high-impact projects with real business outcomes • Rapid Growth : We compress years of learning into months • Merit Over Titles : Trust and responsibility are earned through execution, not tenure • Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: 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. As Our Emerging Sectors Data Lead, You Will: • 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 Are Likely To Succeed If: • 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...