Business Intelligence Analyst

Key Responsibilities

• Design, develop, maintain, and support business intelligence solutions, dashboards, reports, and scorecards using Power BI, Tableau, and other reporting tools.
• Collaborate with business stakeholders to gather, document, and translate business requirements into analytical and reporting solutions.
• Develop and maintain SQL queries, data extracts, data models, and analytical datasets to support operational and strategic reporting needs.
• Support the design, development, and optimization of ETL/ELT processes and data pipelines using Databricks and other enterprise data platforms.
• Analyze and interpret business data to identify trends, opportunities, risks, and areas for operational improvement.
• Perform data validation, reconciliation, testing, and root cause analysis to ensure data accuracy and integrity.
• Create and maintain reporting documentation, data definitions, process guides, business rules, and reusable analytical assets.
• Partner with Data Engineering, IT, Finance, Service Operations, Supply Chain, and Business teams to support analytics initiatives.
• Develop ad-hoc analyses, dashboards, and reports to support management decision-making.
• Support KPI reporting, metric standardization, and enterprise data governance initiatives.
• Participate in user acceptance testing (UAT), production deployments, release validation, and ongoing support activities.
• Identify opportunities to automate manual reporting processes and improve operational efficiency.
• Research and resolve reporting issues, data discrepancies, and business data challenges.
• Leverage AI-enabled tools, automation, and modern analytics technologies to improve productivity and business insights.
• Provide training and guidance to business users on self-service analytics and reporting tools.

Functional Knowledge

• Demonstrates strong knowledge of Business Intelligence, Data Analytics, Reporting, and Data Management concepts.
• Applies established analytical methods, reporting techniques, and data modeling practices to solve business problems.
• Possesses working knowledge of enterprise reporting platforms, data warehouses, and modern analytics tools.
• Continuously develops expertise in emerging analytics technologies and industry best practices.

Business Expertise

• Understands business processes and reporting requirements within supported functional areas.
• Translates business requirements into practical analytical and reporting solutions.
• Supports business decision-making through data-driven insights and recommendations.
• Contributes to the improvement of reporting processes, data quality, and operational efficiency.

Leadership

• Works independently on moderately complex assignments with limited supervision.
• Participates in project teams and supports cross-functional initiatives.
• Shares knowledge and best practices with peers and stakeholders.
• Takes ownership of assigned deliverables and drives timely completion.

Problem Solving

• Uses analytical thinking and technical expertise to identify and resolve data and reporting issues.
• Investigates data anomalies and performs root cause analysis.
• Applies judgment to select appropriate analytical methods and tools.
• Recommends process improvements and innovative solutions to business challenges.

Impact

• Contributes to the successful delivery of reporting, analytics, and business intelligence solutions.
• Supports operational efficiency and business decision-making through accurate and timely analytics.
• Influences project outcomes through quality deliverables and technical expertise.
• Helps improve data quality, reporting consistency, and user adoption.

Interpersonal Skills

• Communicates effectively with technical and non-technical stakeholders.
• Builds collaborative working relationships across business and technology teams.
• Presents analytical findings and recommendations in a clear and concise manner.
• Demonstrates strong customer focus and responsiveness to business needs.
• Works effectively in a global and cross-functional environment.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or related field.
• 4+ years of experience in Business Intelligence, Data Analytics, Reporting, or Data Engineering.
• Strong SQL development and data analysis skills.
• Experience developing dashboards and reports using Power BI and/or Tableau.
• Experience working with enterprise data platforms and large datasets.
• Strong analytical, problem-solving, and communication skills.

Preferred Technical Skills

Business Intelligence

• Power BI
• Tableau
• DAX
• Power Query
• Dashboard Development
• Report Design
• Data Visualization
• KPI Reporting

Data Analytics & Engineering

• SQL
• Advanced SQL Queries
• Data Modeling
• Data Warehousing
• ETL/ELT
• Data Transformation

Databricks & Big Data

• Databricks
• Apache Spark
• PySpark
• Delta Lake
• Lakehouse Architecture

Programming

• Python
• PySpark
• JSON
• REST APIs

Cloud Platforms

• Azure Data Factory
• Azure Synapse
• Microsoft Fabric
• Snowflake

Data Governance

• Data Quality
• Data Governance
• Master Data Management
• Business Rules
• Data Validation

AI & Automation

• Microsoft Copilot
• Generative AI Fundamentals
• Prompt Engineering
• Process Automation
• Conversational Analytics