Business Intelligence Analyst

Key Responsibilities

Reporting & Dashboard Development

• Design, develop, and maintain enterprise-grade Power BI dashboards, business reviews and reports consumed by high level client leadership.
• Build self-serve reporting assets that empower business stakeholders to explore data independently — without relying on ad-hoc requests.
• Develop mobile-optimized and print-ready report layouts suitable for executive review and client-level presentations.
• Manage Power BI workspaces, datasets, and deployment pipelines across Dev / UAT / Prod environments.

Data Modelling & Integration

• Build semantic data models (star/snowflake schema) in Power BI using best-practice DAX and M-Query patterns.
• Connect, clean, and transform data from multiple sources — ATS systems, VMS/MSP platforms, Excel/SharePoint, SQL databases, and ERP/HRIS tools.
• Collaborate with IT and data engineering to define, document, and maintain data pipelines feeding reporting layers.
• Define and enforce calculation standards for key metrics: headcount, spend, fill rates, requisition aging, profitability, and supplier productivity.

Stakeholder Collaboration & Insight Deliver

• yPartner with business unit leads to understand reporting needs and design purpose-fit solutions
• .Translate business questions into structured analytical briefs before building — ensuring outputs answer the right questions, not just produce visuals
• .Present findings and walk stakeholders through dashboards; communicate data limitations, caveats, and next steps clearly
• .Support recurring business review cycles (weekly/monthly/quarterly) with on-time, accurate report delivery

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Data Governance & Quali

• tyEstablish and maintain a single source of truth for reporting metrics — resolving definition conflicts across business unit
• s.Implement data quality checks, exception flagging, and anomaly alerts within Power BI report
• s.Document data dictionaries, metric definitions, refresh schedules, and report lineage for long-term maintainabilit
• y.Support data governance initiatives to improve upstream data integrity from source system

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Must H

• ave4–5 years of hands-on Power BI development experience, including complex DAX calculations, row-level security (RLS), and Power Query transformatio
• ns.Strong SQL skills — ability to write optimized queries, joins, CTEs, and stored procedures across relational databases (SQL Server, PostgreSQL, or simila
• r).Proven experience building data models for workforce, HR, staffing, or operational reporting domains — not just generic BI implementatio
• ns.Demonstrated ability to design executive-level dashboards: clean layout, clear hierarchy, purposeful visuals, minimal noi
• se.Experience publishing and managing Power BI Service workspaces, including refresh automation, access management, and deployment pipelin
• es.Strong communication skills — able to translate analytical output into a business narrative for non-technical leade