Senior Analytics Engineer

About the Position

Senior Analytics Engineers design, build, and manage Pandora's enterprise BI solutions. They combine deep technical skill with a code-first, automated way of working, lead delivery across stakeholders, and set the technical direction for BI in the organization.

Responsibilities

• Leads large Power BI projects with many stakeholders.
• Covers the full project lifecycle: scoping, requirements, design, development, testing, deployment, and support after go-live.
• Writes detailed project plans, risk assessments, and resource plans.
• Works with senior leadership and external stakeholders to agree on project goals and timelines.
• Manages cross-functional teams and coordinates with Data Engineering, Data Governance, and other departments.
• Runs project reviews and collects end-user feedback to keep improving.

Requirements

Priority 1

• Expert in Power BI, Power Query, DAX, and advanced dashboard design.
• Designs complex data models, measures, and custom visuals.
• Deep knowledge of performance tuning, including handling large datasets and making reports load faster.
• Advanced SQL, plus Python or R for extended analytics.
• Expert in complex row-level security (RLS), dynamic parameters, and advanced calculated measures.
• Expert in third-party tools that boost Power BI productivity.

Priority 2

• Sets up and manages enterprise Power BI environments, covering security, governance, and report lifecycle management.
• Expert in code-centric BI development using PBIP, TMDL, and JSON.
• Advanced in source control, Git, and DevOps (CI/CD).
• Advanced in automation and scripting for BI development.
• Strong focus on reusable templates, frameworks, and accelerators.
• Provides technical and strategic leadership on Power BI best practices, tool adoption, and data strategy.
• Mentors and trains junior and mid-level developers.
• Leads design and architecture discussions for complex solutions.
• Acts as the escalation point for technical problems and decisions.
• Drives innovation and process improvements in the team and across the organization.

Priority 3

• Advanced in agentic BI development: uses LLMs for analysis, building, refactoring, and making changes at scale.
• Knows BI solutions in Databricks, including AI/BI dashboards and Genie.

Priority 4

• Integrates many data sources: real-time data, APIs, cloud databases, and big data.
• Knows web-app reporting solutions built with React and TypeScript.

We Offer

• Paid Vacation
• Sick Days
• Sport/Insurance Compensation
• English Classes
• Charity
• Training Compensation

About the Company

[Company description if present]

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