Business Intelligence Analyst

Pride Global

Brasil

Presencial

BRL 120 000 - 180 000

Tempo integral

14 dias+

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Resumo da oferta

Pride Global is seeking an experienced Power BI Developer to design and deliver enterprise-grade dashboards for senior client leadership. The role emphasizes self-serve reporting assets, data governance, and cross-functional collaboration across IT and data engineering.

You will build semantic data models, implement robust data pipelines, and publish dashboards in Power BI Service with automated refreshes and secure access for executives.

Qualificações

  • Proficient in building enterprise-grade Power BI dashboards with complex DAX calculations.
  • Experience creating self-serve reporting assets for business stakeholders.
  • Strong SQL skills and ability to build robust data models for HR/workforce domains.
  • Experience publishing and managing Power BI Service workspaces, refresh automation, and deployment pipelines.

Responsabilidades

  • Design, develop, and maintain Power BI dashboards and reports used by senior client leadership.
  • Build self-serve assets enabling stakeholders to explore data independently.
  • Create mobile-optimized and print-ready layouts for executive reviews.
  • Manage Power BI workspaces, datasets, and deployment pipelines across environments.
  • Connect and transform data from multiple sources (ATS, VMS/MSP, Excel/SharePoint, SQL, ERP/HRIS).
  • Collaborate with IT and data engineering to define data pipelines and data governance.

Conhecimentos

Power BI
DAX
SQL
Data modeling
Power Query
Dashboard design
Stakeholder communication

Ferramentas

SQL Server
PostgreSQL

Descrição da oferta de emprego

  • 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.
  • 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
.
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
s.
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
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