[All remote jobs](https://jobicy.com/jobs.md)[![YipitData logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e1bee9df-221.jpg)](https://jobicy.com/company/yipitdata.md)[YipitData](https://jobicy.com/company/yipitdata.md) # Senior Data Analyst Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/yipitdata.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 170k–190k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished29 Oct 2026Apply before28 Nov 2026Listing views31Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. YipitData is seeking a senior data leader to develop and scale analytics coverage for emerging corporate sectors. The role combines hands-on analysis of large, evolving consumer datasets with ownership of data strategy, taxonomies, quality standards, and production workflows. This person will partner with Insights, Revenue, Product, and Engineering teams while acting as a player-coach for analysts. Strong SQL, Python, PySpark, Databricks, and stakeholder-management capabilities are central to success. The position is fully remote within the United States and focuses on delivering reliable, client-ready market intelligence. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, high-ownership role requiring 8+ years of analytical experience, technical depth with complex data pipelines, and leadership responsibility. The candidate must establish scalable methods amid ambiguity while supporting client-facing and cross-functional work. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$180,000US market range (per year)$150k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer states annual on-target earnings of USD 170,000–190,000, plus a 10% target variable component and equity. The midpoint is USD 180,000 annually. Estimated US market compensation for a senior data analytics lead with comparable technical and people-leadership scope is approximately USD 150,000–210,000 per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[PySpark](https://jobicy.com/jobs?search_keywords=PySpark.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[GitHub](https://jobicy.com/jobs?search_keywords=GitHub.md)[Data analytics](https://jobicy.com/jobs?search_keywords=Data%20analytics.md)[Data quality assurance](https://jobicy.com/jobs?search_keywords=Data%20quality%20assurance.md)[Data transformation](https://jobicy.com/jobs?search_keywords=Data%20transformation.md)[Data taxonomy design](https://jobicy.com/jobs?search_keywords=Data%20taxonomy%20design.md)[Workflow automation](https://jobicy.com/jobs?search_keywords=Workflow%20automation.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Client communication](https://jobicy.com/jobs?search_keywords=Client%20communication.md)[Team leadership](https://jobicy.com/jobs?search_keywords=Team%20leadership.md)[Project management](https://jobicy.com/jobs?search_keywords=Project%20management.md) Sample interview questionsHow would you approach building a reliable data taxonomy for a new sector with inconsistent product information?I would begin by defining the client and business decisions the taxonomy must support, then profile the available attributes and identify ambiguity patterns. I would create an initial hierarchical classification framework, validate it against representative records and domain expertise, measure accuracy, and establish an iterative review process for exceptions and new products. Describe how you have investigated and resolved a material data-quality issue. I first quantify the issue, identify affected outputs and stakeholders, and trace lineage from the client-facing metric through transformations to source data. After isolating the root cause, I implement a scalable fix, add automated validation checks and monitoring, backfill affected data where appropriate, and communicate both impact and resolution clearly. What practices would you use to maintain production-grade SQL and Python data workflows? I would use version control, peer review, modular and documented code, reproducible environments, and automated tests for core transformations. I would also define data-quality checks, lineage documentation, alerting for failures or metric shifts, and clear ownership for ongoing maintenance. How do you balance rapid delivery for clients with the need for analytical rigor? I separate immediate decisions from durable platform work, define the minimum reliable output for the first release, and make assumptions explicit. I use staged validation, prioritize high-impact quality controls, and maintain a visible backlog so temporary solutions are deliberately improved rather than becoming permanent technical debt. How would you coach analysts while continuing to own high-priority deliverables? I would set clear quality standards and decision frameworks, delegate work with defined outcomes, and use regular reviews as teaching opportunities. I would reserve direct involvement for ambiguous or high-risk decisions while giving analysts increasing ownership, actionable feedback, and context on how their work affects clients and business goals. Opportunity details ## About this role. About 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 * 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 What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: * We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! * Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! * The annual on-target earnings for this position is anticipated to be up to $170K ~ $190K + 10% target variable. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, as well as internal team benchmarks. * The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. 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