Business Analyst

Responsibilities

• Collaborate with stakeholders across departments (Quality, Finance, Operations, etc.) to gather, analyze, and document detailed business reporting requirements.
• Translate business needs into clear technical specifications for reports, KPIs, and dashboards.
• Design, develop, and maintain high-quality Power BI reports and dashboards, including data modeling, DAX calculations, and visualizations.
• Integrate and leverage R Studio capabilities within Power BI for advanced statistical analysis, custom visuals, and complex data transformations.
• Write efficient, optimized SQL queries to extract and transform data from various databases and data warehouses.
• Ensure data accuracy, performance optimization, and best practices in report development.
• Perform data validation, testing, and troubleshooting of reports and underlying data models.
• Provide training and support to end-users on new reports and self-service analytics tools.
• Continuously improve reporting processes, automate repetitive tasks, and enhance data governance.
• Work closely with information technology teams to ensure data pipelines support reporting needs.

Qualifications

• Minimum of 3 years of experience as a Business Analyst, BI Developer, or similar role with a focus on reporting.
• Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.
• Excellent communication and interpersonal skills to effectively engage with both technical and non-technical stakeholders.
• Experience working in an agile environment and managing multiple priorities.
• Excellent organizational and planning skills.
• Strong expertise in Power BI (including Power Query, DAX, data modeling, gateways, and row-level security).
• Solid experience integrating and using R (R Studio) within Power BI for statistical modeling, predictive analytics, or custom scripting.
• Advanced SQL skills – must be proficient in writing complex queries, CTEs, window functions, and performance tuning.
• Familiarity with ETL processes and data warehousing concepts.
• Understanding of statistical analysis and machine learning concepts.

Requirements

• Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Statistics, or a related field.
• Master’s degree a plus.
• Onsite position only.