Senior Data Analyst

Job Title: Senior Data Analyst Company: Tredence Job Category: Data Science Roles & Responsibilities: Success in this role means delivering clear, data\-driven recommendations that enable last\-mile adoption across client organizations. You will collaborate closely with cross\-functional teams to architect scalable solutions and support strategic initiatives. This role is pivotal in translating complex data into business value in the retail domain. What will your role look like? \- Develop, maintain, and optimize interactive Power BI dashboards and reports tailored for retail business stakeholders. \- Analyze large datasets using SQL and Python to uncover trends, patterns, and opportunities that support business objectives. \- Collaborate with business users and technical teams to gather requirements and translate them into efficient analytical solutions on Microsoft Azure platforms. \- Implement data modeling and integration strategies to enhance data quality and reporting accuracy. \- Provide actionable insights and recommendations to support decision\-making in merchandising, sales, and customer experience initiatives. \- Mentor junior analysts and contribute to continuous improvement of analytics processes and adoption. You will enjoy continuous learning and development, working on diverse projects that expand your technical and domain expertise. Our supportive environment encourages innovation, professional growth, and meaningful contributions toward advancing AI\-driven decision\-making. Work Location: Bengaluru, India Availability: Full time

Job Title: Senior Data Analyst Location: Bangalore, India (Hybrid) Industry/Field: Retail Experience: 4\-8 years Company: Tredence Must Have: Power BI, SQL and good analytical skill About Us: Tredence differentiates itself from other analytics services firms by enabling last mile adoption of insights. You will need: \- Demonstrate 4 to 8 years of hands\-on experience in data analysis within the retail sector, with strong proficiency in Power BI development. \- Utilize Microsoft Azure services effectively for data storage, processing, and analytics workflows. \- Apply advanced SQL skills for data extraction, transformation, and querying from relational databases. \- Employ Python programming for data manipulation, automation, and statistical analysis. \- Hold a BE/B.Tech degree in Computer Science, Engineering, Information Technology, or a related field. Good to Have Skills: \- Exhibit familiarity with cloud\-based data warehousing solutions, such as Azure Synapse Analytics or similar platforms. \- Possess experience with advanced Power BI features like DAX optimization, Row\-Level Security (RLS), and data gateway configurations. \- Understand retail business processes and key performance indicators to align analytics outcomes with business goals. \- Hold relevant certifications in Power BI, Microsoft Azure Data Engineering, or data science fundamentals. Key Skills: Data Science, Python, SQL, Power BI Salary: Not disclosed