Develop and maintain Power BI dashboards, reports, data models, and DAX calculations. Analyze datasets using SQL and Python to identify trends, performance gaps, and commercial opportunities. Collaborate with stakeholders to define KPIs, translate business requirements into reporting solutions, present insights, and support strategic and operational decisions. Use Power Apps and automation to improve business workflows, while ensuring data quality, documentation, and reporting consistency.
This role is for one of Weekday’s clients
Min Experience: 4+ years
Location: India
JobType: full-time
We are looking for a skilled Power BI Business Analyst with strong expertise in business intelligence, dashboard development, data modelling, and data-driven decision-making. The ideal candidate will be proficient in Power BI, DAX, and SQL, with working knowledge of Python and Power Apps.
The role involves transforming complex datasets into meaningful business insights, developing interactive dashboards, analysing commercial performance, and collaborating with stakeholders to support strategic and operational decisions. Experience in the FMCG or retail industry, particularly with commercial KPIs and syndicated data, will be an added advantage.
RequirementsKey Responsibilities1. Dashboard Development and Business Intelligence
- Design, develop, and maintain interactive Power BI dashboards and reports to monitor business performance.
- Translate business requirements into effective reporting solutions and actionable insights.
- Create visualisations that enable stakeholders to track key performance indicators and identify business trends.
- Ensure dashboards are accurate, reliable, user-friendly, and aligned with business objectives.
- Develop and maintain efficient data models to support reporting and analytical requirements.
- Write and optimise DAX measures, calculated columns, and expressions for complex business calculations.
- Implement appropriate data relationships, hierarchies, and aggregation logic.
- Improve dashboard performance and ensure consistency across reporting outputs.
- Use SQL to extract, transform, validate, and analyse data from relational databases.
- Analyse business datasets to identify trends, performance gaps, and opportunities for improvement.
- Apply analytical techniques to support commercial planning, performance monitoring, and decision-making.
- Work with Python where required to support data analysis, automation, and data preparation.
- Engage with business stakeholders to understand reporting needs, define KPIs, and gather analytical requirements.
- Collaborate with cross-functional teams to deliver reports and dashboards that address business priorities.
- Present findings clearly and translate analytical results into practical business recommendations.
- Manage stakeholder expectations and ensure timely delivery of reporting solutions.
- Leverage Power Apps to support business workflows and improve operational efficiency.
- Identify opportunities to automate reporting processes and streamline data-driven operations.
- Maintain documentation for dashboards, data models, calculations, and reporting processes.
- Ensure data quality, accuracy, and consistency across business intelligence solutions.
- Strong hands-on experience in Power BI dashboard and report development.
- Expertise in DAX, data modelling, and Power BI performance optimisation.
- Working knowledge of SQL for data extraction, transformation, and analysis.
- Familiarity with Python for data analysis and automation.
- Working knowledge of Power Apps and its application in business processes.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent stakeholder management and communication abilities.
- Ability to translate business requirements into meaningful dashboards, KPIs, and actionable insights.
- Power BI
- DAX and Data Modelling
- SQL
- FMCG Industry Experience
- Retail Industry Experience
- Power Apps
- Experience working in the FMCG or retail industry.
- Familiarity with commercial KPIs and business performance metrics.
- Knowledge of syndicated data and its use in commercial analytics.
- Experience developing reporting solutions that support sales, category, retail, or commercial decision-making.
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