Business Intelligence: Building the visualization, querying, and reporting layer - augmented by AI - that empowers stakeholders to track performance in real time and self-serve insights. - Revenue Forecasting: Developing predictive models - leveraging AI assistance for hypothesis generation, anomaly detection, and narrative - to anticipate revenue trends, churn, and growth trajectories. - Commission Planning: Modeling and auditing data-driven incentive structures that align sales behavior with company goals. What You Will Do
BI Strategy & Cross-Functional Leadership
Serve as the primary BI partner for Sales, Marketing, Finance, and Product to align analytics with organizational goals. - Act as the connective tissue between business stakeholders and the centralized Data Engineering team - identifying, escalating, and prioritizing new data requirements. - Partner with source system owners (Salesforce, billing, product, HRIS, support) to fix upstream definitions, data quality, and process - BI cannot be trusted if the source isn't. - Secure and protect recurring executive time to direct BI's roadmap, validate priorities, and pressure-test outputs. - Establish BI governance, documentation, metric definitions, and best practices to ensure data accuracy across all reporting surfaces. - Open the organization to a trusted self-serve model - gold-standard executive dashboards on one end, AI-assisted ad-hoc querying for the broader org on the other. 2. AI-First Analytics & Hands-On Querying
Be hands-on with SQL: write, optimize, and review queries directly against the data warehouse - this is a player role, not just a coach role. - Use Claude and other AI tools as a daily co-worker - for SQL generation and review, data exploration, narrative writing, anomaly investigation, and turning raw outputs into executive-ready reports. - Build AI-augmented workflows that cut the time from executive question to defensible answer (e.g., natural-language-to-SQL on governed schemas, automated weekly business reviews, AI-drafted commentary on variance). - Embrace and evaluate new AI tooling continuously; bring a point of view on what to adopt, what to wait on, and what to build internally - consistent with Vendasta's AI-first operating principle. - Apply Vendasta's trust-by-design AI principles: keep humans in the loop on high-stakes outputs (forecasts, commissions, board-level numbers), document model assumptions, and validate against ground truth. 3. Financial Forecasting & Predictive Modeling
Partner with the VP, Revenue Operations to support revenue strategy through advanced forecasting, pipeline visibility, and multi-quarter revenue walks. - Build baselines, trend models, and churn/retention models that produce predictable revenue - not just historical reporting. - Conduct deep-dive analyses (often AI-accelerated) to uncover insights that drive Net Retention Revenue (NRR) and customer lifecycle optimization. - Translate findings into written reports and executive narratives - not just dashboards. 4. Commission & Incentive Planning
Own the data architecture behind sales commission structures, ensuring calculations are automated, transparent, and auditable. - Analyze the effectiveness of current commission plans and provide data-backed recommendations for adjustments. - Develop standardized KPI frameworks that link individual performance directly to financial payouts. 5. Team Leadership & Scaling (Coach Role)
Define the long-term vision for the BI and Revenue Analytics function, including team structure, AI tooling stack, and ways of working. - Mentor and eventually lead a growing team of analysts; raise the bar on AI fluency across the team. - Champion a data-driven, AI-assisted culture - translating complex financial and technical data into actionable insights for non-technical leaders. What You Bring
Required Experience: 8+ years in BI, Data Analytics, Revenue Operations, or Financial Planning & Analysis (FP&A). - Hands-On Querying: Strong, demonstrable SQL skills - you can write, read, and optimize queries against a real warehouse without waiting on someone else. - AI Fluency (must-have): Active, daily use of AI assistants such as Claude for analytics workflows - SQL drafting, data exploration, report writing, code review. You can articulate where AI accelerates the work and where it must not be trusted. - Technical Mastery: Proficiency with data modeling and BI tools such as Looker, Power BI, or Tableau. - Operational Depth: Proven experience building or auditing financial models and commission structures. - SaaS Expertise: Deep understanding of SaaS metrics (ARR, NRR, CAC, LTV) and GTM systems like Salesforce or HubSpot. - Collaborative Operator: Track record of working effectively with Data Engineering, source system owners, and executives - not in a silo. - Strategic Mindset: A systems thinker who can balance hands-on technical work with high-level strategic planning. How This Role Operates at Vendasta
This role is designed around four non-negotiable operating conditions. Candidates should be excited by all four:
Forward-thinking and AI-first. BI here is not a backwards-looking reporting function. It uses AI to compress cycle time and produce predictive, decision-grade insight. - Supported by Data Engineering. Our centralized Data Engineering team delivers the trusted data lake and pipelines. This role consumes, defines, and shapes those assets - but does not duplicate that work. - Backed by source system owners. Many BI problems are upstream process problems. This role has authority - and the responsibility - to work with source system owners to fix definitions, inputs, and workflows so the data arrives clean. - Directed by executive time. The Lead will sit in executive forums, take direction on the questions that matter most, and be measured on whether leaders trust and use the answers. Perks
Join the Vendasta family, where your growth, adaptability, and long-term career trajectory are our top priorities. We’re building for a rapidly changing, AI-powered world, and we’re committed to helping our people learn, evolve, and lead through it. At Vendasta, you’ll work alongside driven, curious teammates in a culture rooted in Drive, Innovation, Respect, and Agility, solving meaningful problems that shape the future of local business. We invest deeply in your development through continuous learning opportunities, hands-on exposure to emerging technologies, in-house training, education reimbursement, and leadership development programs designed to help you grow as the world evolves. We support this growth with flexibility, wellness benefits, and an environment that trusts you to do your best work - whether that’s learning something new, taking on bigger challenges, or building the next chapter of your career. At Vendasta, you’re not just keeping up with change. You’re growing with it. Discover your potential. Build something that matters. Help us lead the AI revolution from right here in Saskatoon.
