At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50.

Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! At Anaplan, we are looking for a Senior Business Intelligence Developer/Analyst to act as a data domain holder for our engineering reporting and insights within the GPTO (Product and Technology) department.

Sitting within our Engineering Enablement team, you won't just be fulfilling requests—you will own high-visibility data domains end-to-end. As our engineering and AI capabilities grow, the demand for clear, actionable intelligence has skyrocketed. We have around 190 KPIs across delivery, quality, investment, and AI adoption that need a true owner.

This role is key in enabling and measuring the success of Anaplan’s internal AI initiatives. We need someone who can take a vague question from leadership, figure out the underlying business problem, model the data, build the semantic layer, and deliver self-serve insights that actually make sense. , executive scorecards, dependency health, investment mix, or DORA performance) from raw data to final stakeholder presentation.

Design, build, and document semantic layers that outlast you, abstracting complex data from tools like Jira and GitHub into simple, self-serve reporting. Partner with senior engineering leaders to translate ambiguous business questions into specific, defensible data answers.

Requirements

, identifying the most useful metrics and deciding what should and shouldn't be measured. Combine traditional metrics and AI telemetry to create meaningful measures of Anaplan's internal AI initiatives Build and own the dashboards tracking delivery, quality, dependency, investment, and AI adoption metrics. Advise the team on the evolving AI/BI tooling landscape (Rovo, Atlassian Intelligence, embedded AI), helping decide when to build versus when to consume.

Coach and mentor junior analysts, championing data best practices so outputs remain clean and consistent as tool access broadens. Your Skills Strong experience building production BI in a fast-paced software or tech environment. Deep SQL expertise and demonstrated comfort with dimensional modelling against warehouses with hundreds of tables.

Hands-on experience with enterprise BI tools such as Tableau, PowerBI, or eazyBI. Strong working knowledge of engineering intelligence, including DORA metrics, value-stream measurement, and CI/CD pipeline data.

, and explain data limitations to executives. High autonomy and the ability to own a domain end-to-end without needing a large support team. Desirable Familiarity with the Atlassian data model (Jira, Confluence, Jira Align, JSM Assets).

Background in a software development agency, SaaS environment, or a setting requiring you to manage multiple stakeholders and shifting priorities.