Director of Data Analytics

Neo Financial•Calgary, AB

2d•Onsite

About The Position

As the Director, Data Analytics, you will provide strategic leadership over Neo's analytics function—ensuring that data-driven insights are consistently delivered to inform executive decision-making, optimize business performance, and unlock growth opportunities. You will own the core analytics strategy, build and scale a high-performing team of analysts and analytics managers, and ensure the analytics function operates as a trusted, deeply embedded partner across all business units. This is a high-leverage role designed for a strategic heavyweight who wants to elevate the maturity of Neo's analytics capabilities. You will move the company beyond reactive reporting toward proactive, predictive, and prescriptive insight delivery that shapes corporate strategy and drives measurable business outcomes.

Requirements

8–12+ years of progressive data analytics experience, with 3+ years in a senior leadership role scaling data teams within high-growth tech startups, fintechs, or top-tier consulting environments.
A "Founder in a box" mindset—possessing the rare ability to zoom out to 30,000 feet for company strategy and zoom in to the "nuts and bolts" of automated data pipelines and detailed operational spreadsheets.
Technical & Quantitative Mastery of SQL, Python, data warehousing concepts, and advanced analytical frameworks.
Expert-level grasp of analytics delivery under strict compliance and data governance guidelines (e.g., PCI DSS frameworks).
Strong executive presence; highly comfortable defending your data-backed positions fiercely to senior executives, managing vendor budgets, and driving consensus across strong product and engineering personalities.
Proven resilience and a track record of thriving in high-pressure, "move-fast-and-break-things" environments without sacrificing accuracy, quality, or corporate rigor.

Responsibilities

Define and execute the enterprise analytics strategy, translating company-wide goals into a prioritized, high-impact analytics roadmap.
Establish the function as a proactive strategic partner—not a passive service desk—to uncover hidden risks and growth avenues before stakeholders identify them.
Build, lead, and scale a high-performing team of analytics professionals.
Foster a culture of intellectual curiosity and rigor while defining clear career paths, development plans, and robust internal succession strategies for all analytics roles.
Set and enforce rigid standards for analytical quality, reproducibility, documentation, and metric consistency.
Oversee centralized KPI frameworks and self-service dashboards while driving the adoption of advanced methods (A/B testing experimentation, forecasting, segmentation, and statistical process control).
Partner directly with executive leadership and department heads (Product, Marketing, Operations, Finance, Engineering) to translate analytical outputs into concrete revenue growth, cost reductions, and retention strategies.
Serve as the senior analytical voice in cross-company strategy discussions.
Collaborate closely with Data Science, Data Development, and Infrastructure teams to ensure seamless integration of workflows.
Champion a heavily data-literate culture across Neo, expanding automated self-service analytics to reduce centralized dependency for routine reporting.