PRODUCT - Director, Analytics

2 weeks ago


Old Toronto, Canada Haventreebank Full time

Haventree Bank is a private Canadian Schedule 1 bank specializing in alternative mortgage programs and insured GIC deposits. We help hardworking Canadians from coast-to-coast achieve homeownership by offering flexible mortgage solutions. Our insured GIC deposits offer competitive rates and are available through a variety of wealth management platforms.

About Haventree Bank

Headquartered in Toronto, Ontario, Haventree Bank (Haventree) is a mission driven alternative mortgage lender. The name Haventree is representative of the bank’s mission to help its customers find a place of refuge and to lay down new roots for the future. Haventree exists to be a catalyst of financial security and upward mobility for Canadians who are underserved by the traditional financial system.

Position Summary:

Reporting to Chief Product & Innovation Officer, the Director of Analytics will lead our analytics function, overseeing a team of 4-5 analysts. This role is pivotal in leveraging data to drive business decisions, optimize portfolio performance, and enhance digital banking experiences. The Director of Analytics will be responsible for implementing the latest analytics methods, training team members, and providing strategic insights to improve our overall business.

Major Duties & Responsibilities:

Leadership & Management

  • Lead, mentor, and develop a team of 4-5 analysts, fostering a culture of continuous learning and innovation.
  • Set strategic goals for the analytics team, ensuring alignment with overall business objectives.
  • Collaborate with cross-functional teams including marketing, product, risk, sales and operations, and Engineering to support data-driven decision-making.

Analytics & Insights

  • Drives efforts to introduce innovative methods that create efficiency in core work and enable reporting and analytics to be reusable, self-service, directed to meaningful interpretation of data, and capable of driving business decisions and impact across teams.
  • Develop and implement advanced analytics methods to optimize portfolio management and digital banking operations.
  • Provide actionable insights through data analysis, predictive modeling techniques.
  • Lead Pricing, Acquisition, Retention, Profitability and overall portfolio performance analytics.
  • Oversee the design and deployment of dashboards, reports, and visualizations to monitor key performance indicators (KPIs).
  • Explore, define and standardize our business and product KPIs and metrics and provide efficient and meaningful reporting capabilities across the organization.
  • Provide guidance around A/B testing measurement to ensure results are reliable, valid, and accurate.
  • Build our capabilities and process maturity to improve integrity and quality of our data assets through data stewardship, validation and monitoring of our most critical operational reporting.

Training & Development

  • Hire and train data analysts in the latest analytical tools, technologies, and best practices.
  • Promote a culture of data literacy and analytical excellence across the organization.
  • Stay abreast of financial industry trends and emerging technologies to continuously enhance the analytics function.

Strategic Initiatives

  • Lead initiatives to improve customer acquisition, retention, and lifetime value through data-driven strategies.
  • Support the development of personalized banking experiences and targeted marketing campaigns.
  • Provide strategic recommendations to senior management based on thorough data analysis and insights.
  • Lead business case / financial analysis development and post implementation analysis of business results for all new initiatives for bank.
  • Effectively manage multiple programs and initiatives concurrently.

Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related field (Master’s or PhD are a plus).
  • Proficiency in analytical tools and programming languages and/or data management tools such as Excel, SQL, Python, R, and SAS, AWS Redshift, etc.
  • Ability to articulate and apply a methodical framework to solve problems.
  • Excellent written and verbal communication and presentation skills; ability to communicate sophisticated business and technical concepts to a broad range of technical and non-technical staff, tailoring messages and stories to the appropriate audience.
  • Ability to think laterally and find innovative solutions to support strategy.
  • Ability to influence and collaborate with partners with diverse points of view, build consensus, and establish credibility and rapport with a broad set of partners quickly.
  • Strong interpersonal abilities, with the ability to work in a fast-paced environment.
  • Excellent leadership and team management abilities
  • Strong knowledge of statistical modeling (experience in predictive analytics is desirable).

Years and Range of Experience Required to Perform the Job:

  • 8+ years of experience in analytics, with at least 3 years in a leadership role.
  • Proven track record of managing and developing high-performing analytics teams.
  • Proven experience in data analytics, with a focus on financial, operational and statistical analysis, and data visualization.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Experience with Product event data analysis tools (Mixpanel, Interana, Amplitude or similar) is a plus.

While we thank everyone for their interest in Haventree Bank, please note that only candidates selected for an interview will be contacted. Haventree Bank is committed to providing accommodation when needed. If you require an accommodation, we will work with you to meet your needs.

  • As a job candidate, our recruitment process includes collecting personal information. Please click the link here to review our Privacy Policy. Privacy Statement | Haventree Bank
  • Haventree Bank embraces equal opportunity, diversity, and inclusion. Please let us know if you require any accommodations during the recruitment and selection process.
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