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.