Senior Data Analyst & AI Engineer

🔍 What will you be doing?

Own Primer's GTM intelligence layer

Maintain and continuously improve the dashboards and data models at the core of how our GTM teams operate and make decisions. You'll identify gaps, build new views, and ensure the data our teams rely on is accurate, trusted, and acted upon - not just looked at.

Keep the AI in our BI sharp

Continuously train and improve our BI tool’s (Omni) AI model so that natural-language queries, whether through Omni directly or via Claude, return accurate, contextually aware results. You are the steward of how well our BI tool thinks.

Partner with data engineering to optimise performance, and build what's missing

Own and maintain the semantic data layer and transformation logic so that dashboards are fast, consistent, and built on a foundation that scales. Identify where missing data sources are limiting GTM intelligence and work with the data engineering team to build the pipelines that close those gaps. You understand the data landscape end-to-end and can make a clear case for what needs to be optimised or built.

Surface pipeline and account intelligence

Build models and dashboards that go beyond historical reporting - surfacing engagement signals, account health indicators, and expansion opportunities that help GTM reps prioritise the right actions at the right time. Partner with data engineering and product ops to embed analytic events across Primer's web and dashboard environments, capturing user and intent signals that bring a new layer of behavioural intelligence into GTM.

Model Salesforce data correctly

Ensure CRM data is well-structured, correctly modelled, and fully leveraged in reporting. Work with RevOps and GTM leadership to make sure what lives in Salesforce is trusted, clean, and meaningful, so that any reporting built on top of it actually reflects reality.

Build models that drive revenue decisions

Partner with RevOps to develop data models that calculate potential ROI for prospects evaluating Primer products, and build the forecasting infrastructure that improves the accuracy of payment volume and revenue projections.

Own the GTM data foundation

Define and maintain field definitions, naming conventions, and data quality standards across the GTM tech stack. Good AI starts with good data, and good data starts with clear governance.

Build the AI context layer for GTM

Create and maintain the shared knowledge infrastructure that gives AI tools, including Claude, the right context to produce high-quality outputs. You'll build and curate the GTM knowledge base that sits behind our AI.

Build GTM AI workflows, with Claude at the core

Work with GTM stakeholders, and Primer’s AI Strategy & Enablement Lead to spot processes where in-house AI workflows, skills and artifacts unlock real self-serve value. Build the more complex workflows hands-on, and upskill others to build the simpler ones themselves. Since Claude is central to AI at Primer, this includes enabling connectors to key business tools and building the skills that make Claude genuinely useful in a GTM role.

Own adoption and impact, not just the build

Shipping something is the start, not the finish. You own the rollout until it sticks, partnering with GTM Enablement on training and documentation so it lands inside existing enablement programmes rather than as a one-off. Collect feedback, iterate, and track and report on GTM AI use cases and their measurable impact.

Promote self-serve data literacy

Coach GTM stakeholders to explore data autonomously. Build the education and support that turns Omni from something people request help with into something they reach for themselves.

Stay ahead of the AI landscape

Proactively assess new AI tools and new features in Primer's existing tech stack. Make clear recommendations on what to adopt, pilot, or ignore. Ensure we're extracting full value from what we already pay for.