Senior Business Intelligence Developer/Analyst

Who you are

• 5–8 years of 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
• Excellent communication and consulting skills, with the ability to influence stakeholders, shape ambiguous requirements, and explain data limitations to executives
• High autonomy and the ability to own a domain end-to-end without needing a large support team
• 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
• Proficiency in Python for more complex data transformations

What the job involves

• 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
• Act as a "data domain holder" for 2-3 subject areas (e.g., 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
• Consult and push back on 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