Job Opportunity For Data Analyst II role - Powai, Hybrid

Job description

Role & responsibilities Capabilities Development & Data Analysis • Translate customer and business data into actionable insights and stakeholder-ready recommendations. • Design and deliver reports, dashboards, and analytical tools that improve efficiency, accuracy, and business visibility. • Analyze panels, point-of-sale, and syndicated data to identify sales trends and support strategic initiatives. • Apply a data-driven approach to business questions and proactively identify opportunities for performance improvement and value creation. Stakeholder Influencing • Partner with stakeholders to understand business requests, communicate insights clearly, and influence action through effective storytelling. • Deliver clear, compelling presentations and recommendations that help stakeholders act with confidence. • Build strong working relationships with global stakeholders and effectively support business requests and priorities. Fund our Future and Inculcate Continuous Improvement Mindset • Ensure high data quality through strong attention to detail, logic checks, and accurate use of tools and platforms. • Drive continuous improvement in processes and ways of working. • Support onboarding, training, and knowledge sharing within the team. Preferred candidate profile • Bachelors degree from an accredited university. • 4+ years of experience in business reporting, analytics, and visualization in consumer packaged goods or a related industry. • Proficiency in SQL, Tableau, advanced Excel, PowerPoint, and data environments such as GCP. • Experience using data to influence decision making and deliver business recommendations. • Strong communication, stakeholder management, and cross-functional collaboration skills. PREFERRED QUALIFICATIONS • • 5+ years of experience in business reporting, analytics, and visualization within CPG/FMCG, particularly in trade, ecommerce, or revenue management. • Experience with data modelling and with syndicated, panel, and point-of-sale data sources. • Exposure to sales, marketing, finance, and revenue management in U.S. and international market environments. • Advanced degree in statistics, business analytics, retail, business management, or a related field. • Demonstrated proactivity, comfort with ambiguity, and a strong orientation toward innovation and continuous improvement.