Role Overview
Senior Business Intelligence Developer/Analyst – responsible for owning data domains for engineering reporting and insights within the GPTO (Product and Technology) department. The role focuses on delivering high‑visibility data solutions that support Anaplan’s internal AI initiatives and engineering metrics.
Your Impact
- 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 abstract 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.
Your Skills
- 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, Power BI, 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.
Diversity, Equity, Inclusion, and Belonging (DEIB)
Our hiring and working environment respects and values all people, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect that makes people unique. We provide reasonable accommodations for individuals with disabilities throughout the application and interview process.
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