Pune, Maharashtra, India
Finance & Banking
Full-Time
PepsiCo
Overview
Overview
This role is designed for an experienced Business Analyst who will play a pivotal part in driving data-driven decision-making and process optimization for North America Data Product Management team.
The ideal candidate will combine advanced analytics skills, deep SQL expertise, and practical data engineering knowledge with a strong understanding of the FMCG Domain. You will work cross-functionally to transform business requirements into actionable insights and scalable solutions, supporting both strategic and operational objectives.
Responsibilities
Business Process Analysis & Optimization
Education:
This role is designed for an experienced Business Analyst who will play a pivotal part in driving data-driven decision-making and process optimization for North America Data Product Management team.
The ideal candidate will combine advanced analytics skills, deep SQL expertise, and practical data engineering knowledge with a strong understanding of the FMCG Domain. You will work cross-functionally to transform business requirements into actionable insights and scalable solutions, supporting both strategic and operational objectives.
Responsibilities
Business Process Analysis & Optimization
- Analyze existing business processes, identify improvement opportunities, and recommend solutions that enhance efficiency, reduce costs, and drive growth within the beverages sector.
- Collaborate with stakeholders to map and document end-to-end business processes and data flows.
- Design, write, and optimize complex SQL queries to extract, manipulate, and analyze large datasets from multiple sources.
- Develop and maintain dashboards, reports, and KPIs that provide actionable insights to business leaders and operational teams.
- Engage with business stakeholders to gather, document, and prioritize business and functional requirements for analytics, reporting, and data engineering projects.
- Translate business needs into technical specifications for development teams, ensuring alignment with business goals.
- Work closely with data engineering teams to support the design, development, and maintenance of robust data pipelines and data models.
- Participate in data migration, integration, and transformation projects, ensuring data quality and integrity throughout.
- Leverage deep domain knowledge of the beverages industry to provide context for data analysis, interpret trends, and recommend relevant business actions.
- Act as a trusted advisor to business partners, fostering strong relationships and ensuring solutions are tailored to sector needs.
- Stay up to date with industry trends, best practices, and new technologies in analytics, data engineering, and the beverages sector.
- Proactively identify and champion opportunities for process automation, digitalization, and innovation.
Education:
- Bachelor’s or Master’s degree in Business, Computer Science, Engineering, Statistics, or a related field.
- 7-9 years in business analysis, data analytics, or a related field within the consumer goods, beverages, or FMCG industry.
- SQL Expertise: Advanced proficiency in SQL for data extraction, manipulation, and analysis.
- Data Engineering: Experience working with data pipelines, ETL processes, and data modeling (hands-on or in close partnership with data engineering teams).
- Domain Knowledge: Strong understanding of the beverages industry, including market dynamics, supply chain, sales, and marketing operations.
- Analytical Thinking: Ability to synthesize complex data from multiple sources, identify trends, and provide clear, actionable recommendations.
- Communication: Excellent written and verbal communication skills; able to translate technical concepts for non-technical stakeholders and vice versa.
- Stakeholder Management: Proven ability to work cross-functionally, manage multiple priorities, and build strong relationships with business and technical teams.
- Problem-Solving: Solution-oriented mindset with a track record of driving process improvements and delivering business value.
- Experience with data visualization tools (e.g., Power BI, Tableau).
- Familiarity with cloud data platforms (e.g., Azure, AWS, GCP).
- Knowledge of Python or R for data analysis (a plus).
- Previous experience in a data product or digital transformation environment.
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