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.
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 @ 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 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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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
