Power BI / Data Scientist

Responsibilities:

• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Work with business stakeholders to understand reporting needs, define KPIs, and translate business questions into data-driven insights.
• Build and optimize data models, datasets, and reporting layers to support scalable analytics.
• Analyze structured and semi-structured data to identify trends, patterns, risks, and opportunities.
• Develop data-driven solutions, including statistical analysis, forecasting, segmentation, and predictive models where applicable.
• Prepare, clean, transform, and validate data from multiple sources.
• Collaborate with data engineers, backend developers, product teams, and business users to ensure data quality and consistency.
• Automate recurring reporting and analytical workflows where possible.
• Leverage AI-assisted tools to accelerate analysis, improve productivity, and streamline repetitive data tasks.

Requirements:

• 4+ years of experience in data analytics, business intelligence, or data science roles.
• Strong hands-on experience with Power BI, including dashboard development, data modeling, and report optimization.
• Solid knowledge of SQL and experience working with relational databases.
• Experience with data preparation, transformation, and validation.
• Strong understanding of DAX and Power Query.
• Experience defining and tracking business KPIs and analytical metrics.
• Practical experience with Python or R for data analysis, automation, or modeling.
• Understanding of statistical analysis, forecasting, or basic machine learning concepts.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Experience working with large datasets and identifying data quality issues.
• Practical hands-on experience with AI-assisted tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or equivalent tools for analytics, coding, documentation, and workflow optimization.

Nice to have:

• Experience with Azure data services, AWS, or other cloud platforms.
• Experience with Microsoft Fabric, Azure Synapse, Databricks, or similar data platforms.
• Experience building predictive models or ML-powered analytics solutions.
• Knowledge of ETL/ELT processes and data warehouse concepts.
• Experience with advanced Power BI performance tuning.
• Familiarity with data governance, access management, and row-level security.
• Experience working in product analytics, finance analytics, marketing analytics, or operational reporting.

Note:

The role description is intentionally high-level at this stage, as some project details are confidential. We will be happy to share more context during the interview process.