Intermediate Data Analyst

1 week ago

Toronto, Ontario, Canada Fig Full time $60,000 - $90,000 per year
About Fig
Fig is a new Fintech start-up revolutionizing the lending industry in Canada. Named Consumer Lender of the Year in 2024, Fig is dedicated to simplifying the borrowing process to make it more efficient and accessible for Canadians.
Supported by Fairstone Bank and Ontario Teachers Pension Plan, Fig is in a unique position to blend the benefits of extensive lending experience with the agility of a start-up. This combination allows the company to effectively meet the credit needs of Canadians from various financial backgrounds.
The Role
We're seeking an Intermediate Data Analyst who will report to the Data & Analytics Engineering Lead and bring curiosity, technical skill, and a collaborative mindset. In this role, you'll help shape Fig's data ecosystem by defining essential metrics, transforming complex information into reliable datasets, and maintaining data models that scale with the company's needs. You'll also deliver clear, actionable analysis that supports strategic initiatives across teams. This position is ideal for someone who values problem-solving, communication, and continuous learning while contributing to a data culture that empowers people with timely, trustworthy insights and drives meaningful outcomes throughout the organization overall. What you'll do
  • Partner with different Fig teams to help to uncover actionable insights that influence business strategy and product growth.
  • Build dashboards and reports to monitor KPIs and empower self-service analytics.
  • Translate complex datasets into clear, compelling narratives for non-technical stakeholders.
  • Design and maintain robust data models and transformations using dbt and SQL.
  • Ensure data accuracy, consistency, and performance across Fig's data pipelines.
  • Support ingestion and transformation workflows leveraging.
  • Document and version-control all analytics code using Git and shared repositories.
  • Implement data quality checks and validation to ensure reliable reporting.
  • Partner with engineering teams to ensure new features are properly instrumented for analytics.
  • Collaborate with various other Fig teams to maintain integrity and security of financial data.
  • Help define data governance practices and standardized metrics across departments.
  • Build and maintain strong relationships with key internal and external stakeholders to ensure alignment on goals, deliverables, and expectations.
Why Fig?
  • Unique opportunity to join a company in its scaling phase and shape the future of lending in Canada.
  • Competitive compensation, bonus, and benefits.
  • Retirement savings program with employer matching.
  • Comprehensive medical, dental, and vision coverage, plus health and wellness spending accounts.
  • Generous vacation and parental leave top-up.
  • Continuing education stipend for professional development.
  • Working Location: Hybrid with 1 day per week (Tuesdays) out of the Toronto office.
Our commitment to diversity, equity and inclusion
We are an equal opportunity employer and are committed to diversity at our company. We do not discriminate on the basis of race, religion, culture, sexual orientation, gender identity and physical ability.
Diversity of backgrounds, perspectives, and experience is fundamental to our business. We believe in fostering an environment where team members of all backgrounds can feel comfortable bringing their whole selves to work every day. We aim to ensure all of our employees work in an environment that makes them feel valued, heard, and supported while they strive towards career pursuits and their personal and professional growth.
We are committed to providing accommodations for all candidates that require them and in all aspects of the recruitment, selection, and/or assessment process. If you are selected to participate in any part of the selection and/or assessment process, please inform us of any accommodation(s) that you may require. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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