Lead Business Intelligence Analyst

Overview

Serve as a senior individual contributor and thought partner to RevOps, Sales, Marketing, Customer Success, and Finance, translating data, insight, and AI into commercial advantage. Own the definition, delivery, and continuous improvement of commercial analytics, KPI frameworks, and executive-ready reporting while enabling stakeholders to understand and act on dashboards, KPIs, and AI-generated insights.

What you'll do

• Act as the primary analytics partner to senior commercial stakeholders across Sales, Marketing, Customer Success, and Revenue Operations.
• Translate ambiguous business questions into well-scoped requirements, clear success criteria, and structured analytical briefs.
• Surface insights, trends, risks, and opportunities that inform leadership-level decision-making.
• Support CRM consolidation, demand intelligence optimization, territory and book-of-business changes, and forecasting improvements.
• Manage analytics deliverables from requirements gathering and prioritization through delivery, adoption, and iteration.
• Craft executive narratives and run hands-on enablement sessions for managers and frontline sales representatives.
• Translate complex data, AI outputs, and analytical findings into plain-language stories that drive clarity, confidence, and action.
• Design and deliver enablement programmes that help managers and reps understand, trust, and act on dashboards, KPIs, and AI-generated insights.
• Communicate what metrics mean, how they are calculated, and why they matter.
• Influence without authority and build credibility with senior stakeholders through insight quality and data integrity.
• Design and deliver executive-level dashboards and self-service reporting, primarily using Power BI.
• Ensure consistent definitions and calculations for revenue KPIs, North Star metrics, and commercial performance indicators.
• Conduct deep-dive analyses to diagnose performance issues and recommend actionable next steps.
• Write and optimise advanced SQL queries across Databricks and connected source systems.
• Work within Databricks notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.
• Use Microsoft Copilot, Anthropic Claude, and Claude Code to accelerate analysis, generate and review SQL, draft communications, and surface insights.
• Help define and create LLM agents for the Go To Market organisation, connecting context to MS Copilot and Salesloft.
• Identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes.
• Evaluate and scale AI-assisted analytics approaches with the Senior Manager of BI, including Databricks' native LLM and AI capabilities.
• Help commercial stakeholders and frontline teams understand and appropriately trust AI-generated outputs.
• Partner with Data Analytics Engineers to define analytical data models for revenue, pipeline, customer lifecycle, and performance reporting.
• Validate data accuracy and integrity, identifying and resolving issues before they impact decision-making.
• Contribute to data governance standards, metric documentation, and reporting best practices.

What you'll need

• 8+ years of experience in Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
• Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
• Advanced SQL skills, including writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment.
• Strong business analysis capability, including scoping, structuring, and documenting analytical requirements with rigour before delivery.
• Proven project management skills, including managing multiple concurrent workstreams, setting and meeting deadlines, and maintaining clear stakeholder communication.
• Exceptionally strong written and verbal communication skills, including presenting strategy to a VP and running training for account executives.
• Demonstrated experience designing and delivering stakeholder enablement on data, dashboards, or analytics tooling.
• Proven experience delivering executive-ready dashboards and self-service reporting.
• Strong commercial and revenue-focused business acumen.
• Active and confident professional use of LLM tools such as Microsoft Copilot or Anthropic Claude in an analytical context.

Nice to have

• Hands-on experience with Databricks, including SQL warehouses, notebooks, and Lakehouse architecture.
• Experience using Claude Code or similar AI coding assistants to accelerate SQL development, data validation, or analytical scripting.
• Familiarity with CRM and GTM analytics, including Salesforce, pipeline reporting, forecasting, MEDDPICC, and territory models.
• Hands-on experience with Clay.
• Ideally, experience with Python, such as connecting to APIs.
• Exposure to building or scaling data literacy programmes within a commercial organisation.
• Databricks experience is strongly preferred.
• Power BI is preferred.

Details

• Location: Remote - India.
• Work remotely in India.
• The role works with Databricks, Power BI, Microsoft Copilot, Anthropic Claude, Claude Code, Databrick Genie, Salesforce, PlanHat, Clay, Salesloft, and HighSpot.
• The role supports the Revenue Organisation and works with Data Engineering, Systems, and Data Analytics Engineering teams.