Senior BI Analyst
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Key skills for this role
Key Skills for This Role
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Key Responsibilities
- Gather, analyze, and interpret business requirements from stakeholders.
Gather, analyze, and interpret business requirements from stakeholders.
- Design, develop, and maintain dashboards and reports using Power BI or similar BI tools.
Design, develop, and maintain dashboards and reports using Power BI or similar BI tools.
Build data models, KPIs, metrics, and performance scorecards.
Build data models, KPIs, metrics, and performance scorecards.
Extract, transform, and analyze data from multiple sources.
Extract, transform, and analyze data from multiple sources.
Write complex SQL queries for data extraction, validation, and analysis.
Write complex SQL queries for data extraction, validation, and analysis.
Work with data engineering and IT teams to improve data quality and reporting processes.
Work with data engineering and IT teams to improve data quality and reporting processes.
Identify trends, risks, opportunities, and performance gaps through data analysis.
Identify trends, risks, opportunities, and performance gaps through data analysis.
Automate recurring reports and improve reporting efficiency.
Automate recurring reports and improve reporting efficiency.
Ensure accuracy, consistency, security, and timely delivery of BI reports.
Ensure accuracy, consistency, security, and timely delivery of BI reports.
Present analytical findings and recommendations to senior stakeholders.
Present analytical findings and recommendations to senior stakeholders.
Create and maintain documentation for reports, data sources, and business definitions.
Create and maintain documentation for reports, data sources, and business definitions.
Support forecasting, budgeting, workforce, supply chain, sales, and operational analytics.
Support forecasting, budgeting, workforce, supply chain, sales, and operational analytics.
Mentor junior analysts and contribute to BI best practices and standards.
Required Qualifications
- Bachelor’s degree in Business Analytics, Computer Science, Information Systems, Statistics, Engineering, Finance, or a related field.
Bachelor’s degree in Business Analytics, Computer Science, Information Systems, Statistics, Engineering, Finance, or a related field.
5–8 years of experience in business intelligence, data analytics, reporting, or a related role.
5–8 years of experience in business intelligence, data analytics, reporting, or a related role.
Strong experience with Power BI, Tableau, or equivalent BI platforms.
Strong experience with Power BI, Tableau, or equivalent BI platforms.
Advanced SQL skills, including joins, subqueries, CTEs, window functions, and performance optimization.
Advanced SQL skills, including joins, subqueries, CTEs, window functions, and performance optimization.
- Experience in data modelling, ETL processes, and dashboard development.
Experience in data modelling, ETL processes, and dashboard development.
Strong knowledge of Microsoft Excel, including PivotTables, Power Query, and advanced formulas.
Strong knowledge of Microsoft Excel, including PivotTables, Power Query, and advanced formulas.
Experience working with large and complex datasets.
Experience working with large and complex datasets.
Strong understanding of business KPIs and data visualization principles.
Strong understanding of business KPIs and data visualization principles.
Ability to convert business requirements into effective analytical solutions.
Ability to convert business requirements into effective analytical solutions.
- Excellent communication, presentation, and stakeholder-management skills.
Preferred Qualifications
- Experience with Power BI DAX, Power Query, and Microsoft Fabric.
Experience with Power BI DAX, Power Query, and Microsoft Fabric.
Knowledge of cloud data platforms such as Azure, Snowflake, Databricks, or AWS.
Knowledge of cloud data platforms such as Azure, Snowflake, Databricks, or AWS.
Experience with ERP systems such as Oracle Fusion, Oracle EBS, SAP, or Workday.
Experience with ERP systems such as Oracle Fusion, Oracle EBS, SAP, or Workday.
Familiarity with Python or R for data analysis and automation.
Familiarity with Python or R for data analysis and automation.
Experience in supply chain, manufacturing, finance, sales, or renewable energy analytics.
Experience in supply chain, manufacturing, finance, sales, or renewable energy analytics.
Knowledge of data governance, master data management, and reporting controls.
Knowledge of data governance, master data management, and reporting controls.
Experience leading BI projects or mentoring team members.
Key Skills
- Business Intelligence and Data Analytics
Business Intelligence and Data Analytics
Power BI / Tableau
Power BI / Tableau
SQL and Data Modelling
SQL and Data Modelling
Dashboard and Report Development
Dashboard and Report Development
Data Visualization
Data Visualization
KPI and Metrics Definition
KPI and Metrics Definition
Data Quality and Governance
Data Quality and Governance
Stakeholder Management
Stakeholder Management
Problem Solving
Problem Solving
Business Acumen
Business Acumen
Communication and Presentation
Success Measures
Timely and accurate delivery of dashboards and reports.
Timely and accurate delivery of dashboards and reports.
Improved reporting automation and efficiency.
Improved reporting automation and efficiency.
High stakeholder satisfaction with BI solutions.
High stakeholder satisfaction with BI solutions.
Improved data quality and reporting accuracy.
Improved data quality and reporting accuracy.
Effective identification of business trends and opportunities.
Effective identification of business trends and opportunities.
Increased adoption and usage of BI dashboards across departments.
About Nextracker
Solar tracker and energy technology platform for utility-scale power plants.
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