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$ cat jobs/data-analyst-smithsgroup2-54144bc35b37.json

Data Analyst

Smithsgroup2·Worldwide·Bengaluru, IN·mid
sqldata engineeringpower bi
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Every minute of every day, Smiths Detection’s threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place. Smiths Detection is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security. Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security. This results in careers built on variety and the opportunity to work on a range of state-of-the-art solutions, where you can develop your knowledge and experience every day. Responsibilities: Power BI Development Develop interactive dashboards and reports in Power BI using DAX and Power Query Build effective data models and maintain version control with proper documentation Troubleshoot and maintain existing reports/dashboards, ensuring timely data refresh SQL & Data Handling Write and optimize SQL queries for data extraction, transformation, and validation Perform data quality checks to ensure accuracy and integrity Collaborate with IT/data engineering teams on data availability and access Stakeholder Engagement & Delivery Translate business requirements into technical reporting solutions with the Analytics Lead and functional teams Deliver assigned tasks on schedule within project timelines Maintain standardized documentation, visual design guidelines, and reusable templates Technical Knowledge and Skills: Must Have: Bachelor’s degree in computer science, Data Analytics, Engineering, Mathematics, or a related field 4+ years of hands-on experience in Power BI development Strong proficiency in SQL (joins, subqueries, CTEs, performance tuning) Familiarity with DA

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