Senior BI & Revenue Analytics Lead (AI-Driven)

Openkrill

United States

Remote

USD 120,000 - 180,000

Full time

6 days ago

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Job summary

Cision is seeking a Lead Business Analyst to join the Business Intelligence team, shaping how data, insight, and AI translate into commercial advantage across RevOps, Sales, Marketing, and Finance. The role focuses on defining analytics, KPI frameworks, and executive dashboards, partnering with Data Engineering to ensure data accuracy and business outcomes.

The ideal candidate blends data rigor with the ability to communicate insights to a C‑suite, while embracing AI to accelerate analytics and

Qualifications

8+ years of experience in a Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
Advanced SQL skills — comfortable writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment; Databricks experience strongly preferred.
Strong business analysis capability — proven ability to scope, structure, and document analytical requirements with rigour before moving into delivery.
Proven project management skills — able to manage multiple concurrent workstreams, set and meet deadlines, and maintain clear stakeholder communication throughout.
Exceptionally strong communication skills — a natural and compelling communicator in written and verbal form, equally effective presenting strategy to a VP as running a training session for a team of account executives.
Demonstrated experience delivering executive‑ready dashboards and self‑service reporting (Power BI preferred).
Strong commercial and revenue‑focused business acumen.
Active and confident user of LLM tools such as Micros

Responsibilities

Own the design and delivery of 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 to extract, transform, and validate data across our Databricks data warehouse and connected source systems.
Leverage Databricks as the central analytical platform — working within notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.
Be a power user and internal advocate of LLM‑based tools, including Microsoft Copilot and Anthropic Claude, using them to accelerate analysis, generate and review SQL, draft communications, and surface insight more efficiently.
Help define and create LLM agents for the Go To Market organisation — connecting context to frontline AI tools such as MS Copilot and Salesloft.
Proactively identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes — raising the ceiling of what the team can deliver.
Work with the Senior Manager of BI to evaluate and scale AI‑assisted analytics approaches across the team, including the use of Databricks' native LLM and AI capabilities.
Help commercial stakeholders and frontline teams understand and appropriately trust AI‑generated outputs — building confidence in AI tools through clear explanation, demonstration, and enablement.