Staff Data Analyst
What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for reputed company and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and reputed company their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, 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 same firm that backed reputed company, reputed company, and reputed company. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our reputed company. Why We Need You: 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 quality 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, impact, and business value
- Direct Research projects to uncover opportunities and drive reputed company on cleanup
- Prioritize Engineering efforts and track results over time to meet deadlines
- reputed company expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data, delivering accurate and well-structured datasets for both technical and non-technical stakeholders
- Translate reputed company data findings into clear, actionable insights for diverse audiences.
- Maintain high standards for data governance, quality assurance, and documentation.
Your Working Experience:
- 8-12 years of escalating levels of responsibility in a role blending data analytics and operations at a management reputed company or large SaaS company
- SQL/NoSQL/Python for data extraction @ expert level
- Spreadsheet-based workflows @ expert level
- Data visualizations
- Able 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 healthcare coverage for you and your family
- Home office and productivity setup stipend
- Professional development budget and executive coaching access
- Equity grants that align your success 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 employees and welcome candidates from reputed company backgrounds, experiences, and perspectives. Ready to build something impactful and reputed company a team to success? Apply now and let’s grow together. Apply tot his job Apply To this Job