Product Analyst - Data Product LATAM

At PepsiCo International dCommerce team, we are building the next generation of innovative products and capabilities using emerging technologies to accelerate our business and gain back share. While tied closely to broader PepsiCo, the dCommerce group has a unique start-up feel and defined values that embrace a more entrepreneurial mindset.

We are looking for a Product Analyst to be part of the Product Management team for Data Product to enable our vision that data is a product is in of itself and needs to be treated and valued as such. This role reports into the Product lead and supports all data streams, with a focus on commercial retail data, from partnering with the business to better capture and materialize their requirements to working with engineering to ensure data robustness and integrity.

• →Support Product Managers in the initial requirements gathering and validation with key stakeholders across business units, including how to incorporate local nuances into the global solution
• →Facilitate KPI harmonization to Global standard across BUs and vendor data sources to enable comparable measurement
• →Carry out UAT and initial pre-testing of net new data capabilities, as well as capture UAT results from the end users
• →Be a supportive partner to both local users and GCC to carry out trainings, drive adoption and source usability feedback
• →Be the primary point of contact for business stakeholders to carry out any investigations regarding data discrepancy, reporting inaccuracy, latency
• →Supporting documentation and tracking of data product inputs, errors and data quality observations
• →Work closely with the engineering team to facilitate resolution of any active ingestion alerts if they require business input, while providing proactive communication to business stakeholders

• 3+ years as a product analyst or data analyst with beneficial consideration for experience working with large data sets from ingestion to visualization
• Strong understanding reporting and self-service analytics solutions and how they are used to empower business to make decisions
• Strong numerical literacy and experience of working large dataset
• PowerBI, SQL, Airflow, dbt
• Ability to identify the difference between what stakeholders want and what stakeholders need
• Ability to explain stakeholder needs to technical team members and explain technical considerations to non-technical stakeholders
• An understanding of how APIs provide an integration point between programmatic services

#LI-Hybrid