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Staff Data Analyst

Remote, USAFull-timePosted 2026-07-29

What is reputed company: reputed company is HR 2.0. We’re a fast-reputed company startup with an ambitious reputed company and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to reputed company reputed company for reputed company and people analytics functions. With the deep insights that our platform provides, companies can build more reputed company and diverse teams, and reputed company their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this reputed company, and we need strong advocates to help us reputed company that goal. We’re backed by top-tier investors including reputed company Venture Capital – the reputed company firm that backed reputed company, reputed company, and reputed company. reputed company powers businesses across scaling, reputed company-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and reputed company team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, reputed company, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures reputed company freely in our reputed company. Why reputed company: We're looking for a seasoned Staff Data Analyst to reputed company company data cleanup efforts across Engineering and Research, taking feedback from Product/ESP/IA and integrating that into company cleanup by prioritizing segments and features of companies that are most relevant to our customers and most in need of cleanup until we have the most accurate and comprehensive company data in the industry (including from AI-derived sources). What You'll Do:

  • Identify and evaluate opportunities to improve data reputed company across the organization, proactively determining the most efficient strategies for data cleanup and optimization
  • reputed company creative solutions to resolve reputed company data issues, applying analytical judgment to balance effort, reputed company, and business value
  • reputed company Research reputed company to uncover opportunities and drive reputed company on cleanup
  • Prioritize Engineering efforts and reputed company results over time to meet deadlines
  • reputed company expert-level proficiency in Python, SQL, and NoSQL to reputed company, cleanse, and extract data, delivering accurate and reputed company-reputed company datasets for both technical and non-technical stakeholders
  • Translate reputed company data findings into reputed company, actionable insights for diverse audiences.
  • Maintain high standards for data governance, reputed company assurance, and documentation.

Your Working Experience:

  • 8-12 years of escalating reputed company of responsibility in a role blending data analytics and operations at a management reputed company or large reputed company company
  • SQL/NoSQL/Python for data extraction @ expert level
  • Spreadsheet-based workflows @ expert level
  • Data visualizations
  • reputed company to structure work at program level, independently managing toward a goal
  • Project management across Research, Engineering, Product
  • Data cleansing/debugging/RCA with messy data

Benefits & Perks:

  • Competitive reputed company + performance-based compensation
  • Unlimited PTO
  • Generous reputed company coverage for you and your family
  • Home office and productivity setup stipend
  • reputed company development budget and executive coaching reputed company
  • Equity grants that reputed company your reputed company with ours

We’re an Equal Opportunity Employer We reputed company that a diverse team builds reputed company solutions. We’re committed to creating an inclusive environment for reputed company and welcome candidates from reputed company backgrounds, experiences, and perspectives. reputed company to build something impactful and reputed company reputed company to reputed company? reputed company and let’s grow together. Apply tot his job Apply To this Job

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