Business Analytics Lead

WeaveGrid
San Francisco PreferredPosted 9 April 2026

Job Description

Business Analytics Lead ABOUT THE ROLE The Business Analytics Lead will join the Operations team to transform complex operational, customer, and business data into actionable insights—and ship those insights as crisp, market-ready artifacts that drive decisions and alignment. You’ll own dashboards, reporting infrastructure, and analytics projects end-to-end, partnering closely with Leadership, Business Operations, Driver Support, Client Success, and go-to-market teams. You will also work hand-in-hand with Engineering and Product teams to enable specific metrics/measurements, and implement data warehouse updates. As part of the role, some of your capacity will be dedicated towards client success responsibilities, as needed, based on team capacity and business needs. This role is for a high-agency operator: someone who can go from ambiguous question → clean analysis → clear recommendation → exec-ready deck / customer-ready narrative – quickly and with a high bar for quality. RESPONSIBILITIES Develop and help maintain analytics, dashboards, and reporting infrastructure - Design, build, document, and maintain dashboards and reporting for Leadership, Operations and cross-functional teams - Build operational insights dashboards that highlight trends, anomalies, and opportunities for improvement - Develop and maintain Driver Support reporting to track user satisfaction, issue resolution, and support efficiency - Develop and maintain user marketing funnel analytics and campaign conversion tracking - Enable faster, better decisions across the org, partner with leaders to define metrics, instrumentation, and reporting cadence—especially around OKRs—and translate insights into actions that improve operational efficiency, client satisfaction, and business performance Turn analysis into market-ready communications and decks - Translate complex work into clear written artifacts (short decision memos, weekly updates, slides, stakeholder readouts) that unblock teams and drive alignment - Create inputs for exec-ready materials for leadership reviews, business updates, QBRs, and decision-making (tight narrative arc, clean visuals, clear “so what”) - Produce client/partner-ready communications: one-pagers, slides, explainers, FAQs, etc. that can be shared externally when needed Drive strategic BizOps projects and support emerging client needs - Conduct deep-dive analyses to identify operational opportunities, diagnose performance issues, and quantify business impact - Manage and prioritize ad hoc client data requests in coordination with Customer Success and Business Development - Execute ad hoc BizOps projects (e.g., market analysis, new process development and rollout, operational efficiency initiatives) - Source and incorporate new internal/external data to improve reporting and insight quality - Contribute to the long-term analytics roadmap and operational process improvements - Assist with utility client needs as directed by your manager ABOUT YOU You’re an analytics professional with strong operational instincts—and you’re also someone who can communicate like an owner. You can take messy inputs, find the signal, and package it into something people can immediately act on (a dashboard, a recommendation, a deck, a doc). You move fast, have strong judgment, and enjoy wearing many hats, including balancing internal analytics ownership with external-facing support for a client account. - 3–5 years of experience in data analytics (operations, BI, strategy/analytics, or BizOps adjacent) - Advanced SQL skills (including optimizing complex queries on large datasets) - Strong experience with data visualization tools (Tableau, Looker, Mode, or similar) and building production dashboards for exec + operational audiences - Experience building/maintaining reporting infrastructure and working with a data warehouse - Proven ability to translate analysis into clear recommendations and next steps - Strong project management and ... (truncated, view full listing at source)
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