Findem

Staff Data Analyst

Reposted 10 Days Ago

7 Locations

In-Office or Remote

140K-160K Annually

Senior level

Artificial Intelligence • HR Tech • Software

The AI platform for talent decisions

The Role

The Staff Data Analyst will enhance data quality across Engineering and Research, lead cleanup efforts, utilize data extraction tools, and translate findings into actionable insights for diverse audiences.

Summary Generated by Built In

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 talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close 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 achieve that goal.

We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. 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 Slack.

Why We Need You:

We're looking for a seasoned Staff Data Analyst to lead 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
Develop creative solutions to resolve complex data issues, applying analytical judgment to balance effort, impact, and business value
Direct Research projects to uncover opportunities and drive progress on cleanup
Prioritize Engineering efforts and track results over time to meet deadlines
Leverage 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 complex 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 consulting firm or large SaaS company
SQL/NoSQL/Python for data extraction at an expert level
Spreadsheet-based workflows at an 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 base + 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 believe that a diverse team builds better solutions. We’re committed to creating an inclusive environment for all employees and welcome candidates from all backgrounds, experiences, and perspectives.

Ready to build something impactful and lead a team to success? Apply now and let’s grow together.

Top Skills

NoSQL

Python

SQL

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The Company

HQ: Redwood City, CA

160 Employees

Year Founded: 2019

What We Do

Findem is the AI platform built for talent decisions. Its Labeling Engine transforms billions of unstructured people data points into verified Success Signals — context about what drives success — and Relationship Signals — insight into how people are connected and where influence flows. Together, these give customers a competitive edge in hiring, executive search, mobility, learning, development and workforce planning. That’s why leaders like Nutanix and RingCentral rely on Findem to improve pipeline quality, reduce costs, and deliver faster, more consistent talent impact. Named one of America’s Most Innovative Companies, Findem is redefining how organizations turn people data into business advantage. Learn more at www.findem.ai.

Why Work With Us

At Findem, we’re building a fast-paced culture of experimentation. Our global team of product innovators, talent experts, and former practitioners collaborates to solve some of talent acquisition’s most persistent challenges. We’re motivated by the potential to transform talent and solve our customers’ problems in new ways.