Data Analyst

You will collaborate closely with business stakeholders and senior BI team members to identify trends, improve reporting processes, ensure data accuracy, and deliver analytics solutions that support business objectives.

The ideal candidate will have strong expertise in SQL, Python, and data visualization tools such as Tableau and Power BI. This role involves working with complex datasets, developing well-structured queries, creating meaningful visualizations, and translating business requirements into actionable insights., * Bachelor’s degree in Business, Statistics, Computer Science, Analytics, or a related field. \n

• 3+ years of experience in Data Analytics, Business Intelligence, Reporting, or a related role. \n

• Advanced proficiency in SQL, including writing and optimizing complex queries. \n

• Strong Python skills for data analysis and manipulation. \n

• Hands-on experience with data visualization tools such as Tableau and Power BI. \n

• Experience analyzing complex datasets and translating findings into meaningful business insights. \n

• Strong understanding of data quality, validation, reporting standards, and analytical best practices. \n

• Excellent communication and presentation skills, with the ability to work closely with business stakeholders. \n

• Experience working in Agile environments using Scrum or Kanban methodologies. \n, * 4+ years of relevant experience in Data Analytics or Business Intelligence. \n

• Experience working with cloud-based and relational databases such as SQL Server, AWS, and Snowflake. \n

• Strong SQL development experience across multiple database platforms. \n

• Experience with data visualization, dashboard development, and data storytelling. \n

• Ability to define business metrics and develop consistent reporting standards.

• Reporting & Visualization: Design, develop, test, and maintain interactive reports and dashboards using Tableau, Power BI, and other BI tools. \n

• SQL & Data Analysis: Write, develop, and optimize complex SQL queries to extract, transform, and analyze data from multiple sources. \n

• Data Quality: Validate datasets, ensure data accuracy and consistency, and identify discrepancies or opportunities for improvement. \n

• Business Intelligence: Translate business requirements into analytical solutions, dashboards, reports, and actionable recommendations. \n

• Documentation: Maintain metric definitions, business rules, functional documentation, and reporting standards. \n

• Collaboration: Partner with business teams, senior BI professionals, and technical stakeholders throughout the BI development lifecycle. \n

• Testing & Deployment: Participate in requirements gathering, data extraction, BI development, user acceptance testing, and production deployment. \n

• Continuous Improvement: Review existing reports and analytical solutions to improve performance, scalability, accuracy, and usability. \n

• Agile Delivery: Participate in Agile development methodologies, including Scrum and Kanban, to support iterative delivery. \n

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