VP, Business Intelligence & Analytics

Overview

This is a highly strategic role responsible for defining the Business Intelligence and Analytics agenda that drives company performance. The VP will lead Sortly’s intelligence framework, ensuring we have the right metrics, models, and insights to guide investments, market positioning, and operational decisions. You’ll lead a Go-to-Market Data and Product Analytics team, transforming analytics into a competitive advantage by anticipating trends, surfacing insights, and advising the executive team on actions that will shape our future.

• Define and communicate a compelling vision for Sortly’s BI & Analytics function—articulating its role as a strategic driver of company growth.
• Align the team’s priorities with broader business objectives to ensure maximum impact.
• Serve as a visible, engaged leader who mentors team members and models data-driven leadership.
• Define the long-term vision for BI data analytics at Sortly, ensuring alignment with business goals and market opportunities.
• Establish the company’s data and insight priorities, including what we measure, why it matters, and how it drives outcomes.
• Build frameworks for tracking business performance that enable faster, more confident decision-making.
• Identify emerging data opportunities (internal and external) to unlock new growth levers.
• Act as a thought partner to the CEO, CRO, and CPO, providing insight-driven perspectives on growth, customer behavior, and market dynamics.
• Lead strategic analysis to evaluate new market opportunities, product strategies, and GTM investments.
• Anticipate risks and recommend mitigation strategies based on data trends.
• Build and champion a culture of data literacy and evidence-based decision-making across all functions.
• Drive the development of advanced analytics models (predictive, prescriptive, scenario planning) to guide strategic choices.
• Translate complex analytics into clear, actionable narratives that inspire confidence and mobilize action.
• Lead and manage the data engineering function to ensure the company’s data infrastructure can support sophisticated, real-time analytics at scale.
• Oversee the creation of self-service analytics tools and executive dashboards that keep leaders focused on the right levers.
• Ensure data governance, integrity, and security are foundational to every analytics initiative.

• 10+ years in business intelligence, analytics, or strategy roles, with 5+ years leading high-performing teams.
• Proven success in shaping enterprise analytics strategy in a high-growth SaaS or technology environment.
• Deep expertise in GTM and product analytics, with a strong grasp of SaaS metrics, customer lifecycle analysis, and ARR growth levers.
• Track record of influencing executive decision-making through insight-driven strategy.
• Mastery of BI tools (Looker, Tableau, etc.), SQL, and data storytelling for senior audiences.

• Experience in corporate strategy, management consulting, or investment analysis.
• Familiarity with the modern data stack (GBQ, dbt, Fivetran) and advanced analytics techniques.
• MBA or advanced degree in analytics, economics, or a related field.

• Lead a function that sits at the heart of company strategy and growth.
• Work directly with the executive team to shape the future of a fast-growing SaaS company.
• Join a culture that RISEs (Real, Inspiring, Smart, Empathetic) together.
• Annual off-site retreats
• Home office stipend
• 401k match
• Yearly learning and development reimbursement

Annual Salary: $220,

The salary band outlined reflects compensation levels that are competitively benchmarked based on geographic location. Where an individual may fall within this band is determined by market data specific to their location, ensuring fairness and alignment with our compensation philosophy.