Senior Data Analyst Jobs in Sanofi - Hyderabad/Secunderabad, Telangana

Job Requirements Job Title: Senior Data Analyst Company Name: Sanofi Location: Hyderabad/Secunderabad, Telangana Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field Salary: Best in Industry Experience: 10-20 Years of Experience Job Description: Sanofi is seeking an experienced Senior Data Analyst to join our team in Hyderabad/Secunderabad. The successful candidate will analyze large datasets, generate insights, and provide recommendations to support business decisions. This role requires strong analytical and problem-solving skills, proficiency with data tools, and excellent communication abilities. Responsibilities: • Analyze large data sets to identify trends, patterns, and correlations • Develop and implement data collection systems to improve efficiency and quality • Interpret data and provide statistical analysis with actionable reports • Design and implement analytics, machine learning, and advanced models • Identify, analyze, and interpret trends in complex data sets • Work with management to prioritize business and information needs • Define new opportunities for process improvements through analytics Requirements: • Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field • Proven experience as a Data Analyst or in a similar role • Strong knowledge of reporting tools (Tableau, Power BI), SQL databases, and ETL frameworks • Proficiency in programming (XML, JavaScript) • Experience with statistical packages (Excel, SPSS, SAS) • Strong analytical and organizational skills with high attention to detail • Ability to create reports and effectively present findings Benefits: • Competitive compensation package • Exposure to cutting-edge analytics projects at Sanofi • Professional growth and learning opportunities • Collaborative and innovative work environment Apply Now: Join Sanofi as a Senior Data Analyst in Hyderabad/Secunderabad and contribute to driving impactful data-driven decisions.