Senior Business Intelligence Developer/Analyst
Role details
Job location
Tech stack
Job description
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.
Your Impact
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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.
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Design, build, and document semantic layers that outlast you, abstracting complex data from tools like Jira and GitHub into simple, self-serve reporting.
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Partner with senior engineering leaders to translate ambiguous business questions into specific, defensible data answers.
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Consult and push back on requirements, identifying the most useful metrics and deciding what should and shouldn't be measured.
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Combine traditional metrics and AI telemetry to create meaningful measures of Anaplan's internal AI initiatives
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Build and own the dashboards tracking delivery, quality, dependency, investment, and AI adoption metrics.
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Advise the team on the evolving AI/BI tooling landscape (Rovo, Atlassian Intelligence, embedded AI), helping decide when to build versus when to consume.
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Coach and mentor junior analysts, championing data best practices so outputs remain clean and consistent as tool access broadens.
Requirements
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5-8 years of experience building production BI in a fast-paced software or tech environment.
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Deep SQL expertise and demonstrated comfort with dimensional modelling against warehouses with hundreds of tables.
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Hands-on experience with enterprise BI tools such as Tableau, PowerBI, or eazyBI.
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Strong working knowledge of engineering intelligence, including DORA metrics, value-stream measurement, and CI/CD pipeline data.
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Excellent communication and consulting skills, with the ability to influence stakeholders, shape ambiguous requirements, and explain data limitations to executives.
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High autonomy and the ability to own a domain end-to-end without needing a large support team.
Desirable
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Familiarity with the Atlassian data model (Jira, Confluence, Jira Align, JSM Assets).
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Background in a software development agency, SaaS environment, or a setting requiring you to manage multiple stakeholders and shifting priorities.
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Proficiency in Python for more complex data transformations.