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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.
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
