•••• is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities:

  • Partner with cross-functional business units to elicit, analyze, and document reporting and analytical requirements.

  • Translate complex operational and data needs into structured user stories, technical specifications, and clear acceptance criteria.

  • Act as the primary bridge between business stakeholders and data engineering/IT teams to align technical deliverables with business priorities.

  • Audit existing reporting workflows to remove bottlenecks, drive automation, and enforce corporate data governance and security standards.

  • Design, build, and maintain dynamic, interactive Power BI dashboards and visual reports supporting executive and operational decision-making.

  • Architect scalable semantic data models (star schemas, complex DAX measures) and optimize query execution for high-volume datasets.

  • Integrate multiple data sources by authoring and tuning complex SQL queries to transform raw data into analytics-ready structures.

Skills:

  • 5+ years of corporate experience in Business Intelligence, data analytics, or business analysis.

  • Proven track record in requirements gathering, user story authoring, and cross-functional stakeholder management.

  • Hands-on proficiency with Power BI Desktop and Power BI Service, including semantic data modeling, DAX, performance tuning, and data visualization.

  • Advanced SQL skills for writing, debugging, and optimizing complex queries and transformations across enterprise databases.

  • Strong analytical communication skills—able to structure ambiguous business problems into technical specs and present insights clearly to non-technical stakeholders.

Nice to have:

  • Foundational familiarity with Databricks workspaces and modern cloud data engineering workflows.

  • Experience delivering in Agile/Scrum environments using Jira or Azure DevOps.

  • Hands-on experience configuring Row-Level Security (RLS) in Power BI and enforcing enterprise data privacy standards.

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