Útabase Reporting Analyst – Commercial Team

Auto req ID: 260061BR Job Description Location Overview PepsiCo are looking for a Database Reporting Analyst to support templates build up and KPIs definition for Sales Commercial function in PepsiCo. Role is located in Krakow. With an active, get-things-done culture, this is a place where your dynamism and agility will make a difference. Job Overview In this role, you will be a member of the virtual European digital team and you will have the ability to share the best practice across the sector. You will work closely with Business Units, Product Managers and IT Data& Analytics teams. The main goal of the role is to support standardization of reports and KPIs across Sector. You will have a great opportunity to use your analytical and technical skills and also a knowledge related to SQL, Oracle and Excel. This position will be responsible for supporting user acceptance testing, checking data and KPI’s to ensure that it’s consistent and meets PepsiCo’s global requirements. Responsibilities As Database Reporting Analyst you will be responsible for: • Supporting Commercial Cockpit Sr. Manager to lead the development of Commercial reporting requirements for European Business Units and Sector. • Gathering requirements from different stakeholders to ensure that final product is meeting all requirements • Cooperating with Business Units with plan and strategy implementation. • Ensuring all data and KPI requirements are captured. • Managing the product to ensure a seamless user experience. • Supporting user acceptance testing. Qualifications/Requirements Requirements For a candidate to succeed in this role, she or he will need: • 2-5 years of hands-on experience in working with databases • Fluency in written and spoken English • Excellent skills in SQL, VBA, MS Access, Excel and Oracle database • Knowledge of query languages • Ability to translate complex concepts into clear stories for the business, proven through at least 18 months experience in a business facing data science role • Advanced knowledge of key data science techniques (combining data from multiple sources; data preparation and feature engineering) • A “can do” attitude and excellent communication skills • Flexibility, reliability and responsibility for the entrusted tasksRelocation Eligible: Eligible for Limited Relocation Job Type: Regular