Senior Data Analyst – Power BI

About the Role

We are looking for a Senior Data Analyst with strong hands-on expertise in Power BI, data visualization, and business intelligence to work on a broad range of analytics problems across various industries. The candidate should be able to translate business requirements into actionable insights, develop interactive dashboards, and effectively communicate findings and recommendations to clients.

Key Responsibilities

• Engage with clients to understand their business context, objectives, and analytical requirements.

• Understand business processes and map end-to-end workflows using visual formats.

• Translate business problems into analytical frameworks and develop effective BI solutions using Power BI.

• Design, develop, and maintain interactive dashboards and reports to support business decision-making.

• Collaborate with Data Scientists, Data Engineers, and business stakeholders to integrate analytics into business processes.

• Define KPIs, metrics, and reporting requirements based on business objectives.

• Assess data quality, usability, and sufficiency to achieve desired business outcomes.

• Perform data analysis, identify trends and patterns, and generate actionable insights.

• Present analytical findings and recommendations through effective data visualization and storyboarding.

• Ensure the accuracy, consistency, and quality of dashboards and reports.

Desired Skills & Competencies

• Strong hands-on experience with Power BI, including:

  • Power BI Desktop and Power BI Service.

  • Dashboard development, publishing, and workspace management.

  • Data modelling, relationships, and schema design.

  • DAX measures, calculated columns, and complex calculations.

  • Power Query for data transformation and cleansing.

  • Row-Level Security (RLS) implementation.

  • Data refresh configuration and report performance optimization.

• Proficiency in MS SQL for data extraction, transformation, validation, and analysis.

• Experience in translating business requirements into dashboards, reports, and analytical solutions.

• Strong understanding of data quality assessment and validation.

• Proficiency in MS Office applications, particularly Excel, Word, and PowerPoint.

• Experience with other visualization tools such as Tableau, QlikView, or Spotfire is an added advantage.

• Knowledge of Python is good to have.

• Strong analytical, problem-solving, and quantitative analysis skills.

• Storyboarding and client interaction experience are value additions.

• Strong written and verbal communication skills.

Education & Desired Experience

• 3–5 years of relevant experience in data analytics and business intelligence, with a strong focus on Power BI and problem-solving.

• B.E., MBA, or an advanced degree in Mathematics, Statistics, or an equivalent discipline.

This Senior Data Analyst role focuses on building Power BI dashboards and turning business questions into useful analysis and recommendations. You will work with clients and cross-functional teams to define metrics, assess data quality, and communicate findings that support business decisions.

Role at a glance

Skills mentioned

What you will likely work on

• Work with clients to clarify objectives, business context, and analytical needs.
• Translate business questions into analytical approaches and Power BI solutions.
• Build and maintain interactive dashboards and reports for decision-making.
• Map business processes and workflows in visual formats.
• Define KPIs, metrics, and reporting requirements with stakeholders.
• Review data quality, usability, and sufficiency; validate reporting outputs.
• Analyze data for trends and patterns, then develop actionable recommendations.
• Present findings through visualizations and storyboards, collaborating with data and business teams.

Good fit signals

• You bring 3–5 years of relevant data analytics or business intelligence experience, especially with Power BI.
• You can translate business requirements into dashboards, reports, and analytical solutions.
• You are comfortable with SQL, data quality checks, and communicating analysis clearly.
• Experience with Tableau, QlikView, or Spotfire is an advantage; Python is good to have.
• Client interaction and storyboarding experience can be helpful.