Analyst, Advanced Analytics (Fixed Term Contract)
Role Overview
The posting describes a data-driven Product Analyst role focused on product performance through experimentation, advanced analytics, predictive modeling, and scalable reporting.
This is a fixed-term contract for 12 months.
Key Skills for This Role
Full Job Posting
About Fairstone
Fairstone Bank and its brands provide financial products including mortgages, deposits, credit cards, financing, personal loans, and digital lending.
About the role
The posting describes a data-driven Product Analyst role focused on product performance through experimentation, advanced analytics, predictive modeling, and scalable reporting.
This is a fixed-term contract for 12 months.
Key responsibilities
- Design, execute, and analyze A/B and multivariate tests across product features and user journeys.
- Define experiment success metrics, guardrails, and statistical frameworks; partner with Product, Marketing, and Engineering on test roadmaps and testing practices.
- Analyze user behavior, funnels, cohorts, and feature adoption; translate business questions into analytical frameworks and investigate performance issues.
- Support product strategy with data-driven recommendations.
- Develop and deploy predictive models, segmentation, and scoring frameworks; incorporate model results into product decisions and monitor model performance.
- Build and maintain interactive dashboards, scalable data models, and clear metric definitions.
- Automate reporting pipelines, standardize KPI tracking, and present insights in executive-ready summaries.
Qualifications
- Bachelor's degree in computer science, engineering, economics, or a similar quantitatively focused field.
- 3+ years in product analytics, experimentation, or data science.
- Strong SQL and experience with Python or R for statistical analysis and modeling.
- Hands-on A/B testing and experimental design experience; experience building predictive models.
- Proficiency with dashboarding tools such as QuickSight, Tableau, Looker, or Power BI.
- Understanding of product metrics including funnels, retention, LTV, and conversion.
- Knowledge of multichannel interaction and attribution models.
- Data storytelling and presentation proficiency, including PowerPoint or other presentation tools.
- Strong communication and cross-functional relationship skills; able to work independently and thrive in a collaborative, fast-paced, sometimes ambiguous environment.
- Experience with reporting and analytical tools such as QuickSight, Python, SAS, or SQL is a plus; experience in AI is a plus.
Workplace
- The role uses a hybrid work model.
Compensation
- Expected base salary is $60,000–$75,000; the posting does not specify a pay cadence.
Hiring checks and language
- Candidates considered for hire must pass criminal and credit checks and validation of work experience.
- Applicants may state a preferred communication language, French or English.
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