<ul><li>Design, build, and maintain interactive dashboards and reports using Microsoft Power BI to support business decision-making</li><li>Develop and optimize complex SQL queries, views, and stored procedures for data extraction, transformation, and analysis</li><li>Create and manage data models within Microsoft Power BI, including relationships, hierarchies, and performance tuning</li><li>Write advanced calculations and measures using DAX to deliver meaningful business insights</li><li>Use Power Query to clean, transform, and shape data from multiple sources</li><li>Integrate data from various systems (ERP, CRM, flat files, APIs) into cohesive reporting datasets</li><li>Perform data validation, reconciliation, and quality checks to ensure accuracy and consistency</li><li>Partner with business stakeholders to gather reporting requirements and translate them into technical solutions</li><li>Analyze trends, patterns, and anomalies to provide actionable insights and recommendations</li><li>Optimize report performance, including dataset design, query efficiency, and refresh strategies</li><li>Maintain documentation for data sources, models, and reporting logic</li><li>Support ad hoc data requests and exploratory analysis</li><li>Collaborate with data engineering and IT teams on data pipelines, warehousing, and governance initiatives</li></ul>

<ul><li>3–5+ years of experience in a Data Analyst or BI Analyst role</li><li>Strong proficiency in SQL for querying, data manipulation, and performance tuning</li><li>Hands-on experience with Microsoft Power BI, including dashboard development and data modeling</li><li>Advanced experience with DAX for calculated measures and KPIs</li><li>Experience using Power Query (M language) for ETL and data preparation</li><li>Solid understanding of data modeling concepts (star schema, normalization vs. denormalization)</li><li>Experience working with large datasets from multiple data sources (ERP, CRM, cloud platforms)</li><li>Familiarity with data warehousing concepts and tools (e.g., Azure, Snowflake, or similar) is a plus</li><li>Strong analytical and problem-solving skills with attention to detail</li><li>Ability to communicate insights clearly to both technical and non-technical stakeholders</li><li>Experience with Excel (advanced formulas, pivot tables) and data analysis best practices</li><li>Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field (or equivalent experience)</li></ul>

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