Senior AI-Driven BI Engineer – Self-Serve Analytics

Anaplan

Salford

On-site

GBP 60,000 - 90,000

Full time

4 days ago
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Job summary

Anaplan seeks a Senior Business Intelligence Developer/Analyst to own data domains and deliver self-serve insights across our engineering reporting and AI initiatives.

You will design semantic layers, translate complex data into actionable dashboards, and collaborate with senior engineers to measure delivery, quality and AI adoption. Expect mentorship and influence across multiple stakeholder groups.

Qualifications

  • Strong experience building production BI in a fast-paced software or tech environment.
  • Proficient in Python for data transforms and development practices.
  • Deep SQL expertise with dimensional modelling across warehouses.
  • Hands-on with enterprise BI tools (Tableau, PowerBI, eazyBI).

Responsibilities

  • Act as a data domain holder for 2-3 subject areas from raw data to final stakeholder presentation.
  • Design, build, and document semantic layers that translate Jira/GitHub data into self-serve reporting.
  • Contribute to Engineering with development tasks and test data to ensure quality.
  • Partner with senior engineering leaders to translate ambiguous business questions into data answers.
  • Consult on requirements and determine useful metrics and what should be measured.
  • Build and own dashboards tracking delivery, quality, dependency, investment, and AI adoption metrics.
  • Advise on AI/BI tooling landscape and decide when to build vs. consume.
  • Coach and mentor junior analysts and promote data best practices.

Skills

Production BI
Python
SQL & Dimensional Modelling
BI Tools (Tableau/PowerBI/eazyBI)
CI/CD & Engineering Intelligence
Stakeholder Communication

Tools

Jira
Confluence
Jira Align
JSM Assets

Job description

Anaplan seeks a Senior Business Intelligence Developer/Analyst to own data domains and deliver self-serve insights across our engineering reporting and AI initiatives.

You will design semantic layers, translate complex data into actionable dashboards, and collaborate with senior engineers to measure delivery, quality and AI adoption. Expect mentorship and influence across multiple stakeholder groups.

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