Responsibilities

• - Data Architecture: Consolidate pre-sale, sales pipeline, live platform, and audience research data into a single, accurate database, working closely with the tech team to build and maintain it.
• - LLM-Ready Infrastructure: Structure and administer the database so it can be piped into LLMs for fast, widespread analysis and interpretation.
• - Self-Serve Reporting: Build a flexible, grab-and-go reporting system and templates that let stakeholders team create their own outputs.
• - Insight Generation: Make data ingestion and visualisation simple — ideally promptable via LLM — so you can spend your time uncovering trends rather than manipulating data.
• - Post-Campaign Storytelling: Guide the team on interpreting data for large post-campaign reports and craft insights that land clearly with executive audiences.
• - Market + Business Intelligence: Synthesise internal campaign performance with competitive and marketplace data to spot trends, and use that intelligence to help sales prioritise — and deprioritise — the right opportunities.
• - Cross-Functional Bridge: Act as a business analyst connecting sales and finance, surfacing insight that shapes commercial decisions.
• - Database Architecture: Proven experience building, structuring, and maintaining databases — ideally having built one from the ground up — with a strong grasp of the technical back end.
• - Data Consolidation: Comfortable unifying disparate data sources (sales, platform, audience, pipeline) into one clean, reliable structure.
• - LLM & AI Tooling: Experience preparing data for consumption by LLMs and building tools that make data accessible via AI prompting.

Requirements

• - Database Architecture: Proven experience building, structuring, and maintaining databases — ideally having built one from the ground up — with a strong grasp of the technical back end.
• - Data Consolidation: Comfortable unifying disparate data sources (sales, platform, audience, pipeline) into one clean, reliable structure.
• - LLM & AI Tooling: Experience preparing data for consumption by LLMs and building tools that make data accessible via AI prompting.
• - Marketing & Advertising Background: Understanding of the marketing and advertising industry — how its data is structured, and what marketers commonly need from it.
• - Insights & Storytelling: Skilled at digging into data to uncover trends and communicating findings clearly to non-technical and executive audiences.
• - Business Analysis: Comfortable acting as a bridge between sales and finance, with a head for market intelligence and competitive analysis.
• - Reporting Systems: Experience designing flexible, scalable reporting infrastructure that others can self-serve from.

Benefits

• - Base Compensation Range: $90,000 - $130,000
• - Health Care Plan (Medical, Dental & Vision)
• - Retirement Plan (401k)
• - Life Insurance (Basic, Voluntary & AD&D)
• - Paid Time Off (Vacation, Sick & Public Holidays)
• - Family Leave (Maternity, Paternity)
• - Short Term & Long Term Disability
• - Training & Development
• - Free Food & Snacks
• - Wellness Resources