Description

Key Skills Power BI, Tableau, SQL, Data Analytics, ETL/ELT, Data Modeling, Python, Databricks, Data Visualization, Dashboard Development

Good to Have Skills DAX, Power Query, KPI Reporting, Apache Spark, PySpark, Delta Lake, Lakehouse Architecture, JSON, REST APIs, Azure Data Factory, Azure Synapse, Microsoft Fabric, Snowflake, Data Quality, Data Governance, Master Data Management, Business Rules, Data Validation, Microsoft Copilot, Generative AI Fundamentals, Prompt Engineering, Process Automation, Conversational Analytics

Roles & Responsibilities

• Design, develop, maintain, and support business intelligence solutions, dashboards, reports, and scorecards using reporting tools.
• Collaborate with business stakeholders to gather, document, and translate business requirements into analytical and reporting solutions.
• Develop and maintain data extracts, data models, and analytical datasets to support operational and strategic reporting needs.
• Support the design, development, and optimization of data pipelines using 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, 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.

Experience Required 4+ years of experience in Business Intelligence, Data Analytics, Reporting, or Data Engineering. Strong analytical, problem-solving, and communication skills required.

Education Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or related field

Key Skills

Education

Any Graduate