Responsibilities:

· Utilize automated tools to extract data from primary and secondary sources.

· Validate, clean, and rectify data errors to ensure accuracy and reliability.

· Load and validate cleaned data into the receiving system.

· Employ reporting, visualizations, and statistical tools to identify patterns and trends.

· Translate complex data into actionable insights for diagnostic and predictive purposes.

· Collaborate with product and rollout teams to address Data & Business requirements. 

· In spare time, work on internal products and projects at Progreva, and help us create cool digital products that make an impact in our users’ livesAn ideal candidate

Requirements:

· Minimum 3-5 years of work experience in Data Analytics or a related field.

· Hands-on experience with Excels - formulas, lookups

· Enjoys number crunching, and working with lots of data, spreadsheets. Automating the cleaning and combining steps for structuring the data

· Proficiency in SQL and experience with data visualization tools (e.g., Power BI).

· Experience with Python libraries like Pandas, NumPy

· Exposure to Cloud Platforms like Azure

· Familiarity with ETL processes

· Retail supply chain background is preferred, but not mandatory

· Strong communication skills in English, with the ability to engage stakeholders at all levels.

· Proactive problem-solving ability and innovative thinking.

· Experience in an international environment is preferred.

· Ability to manage and meet deadlines effectively.

· Has a solutioning mindset, and is independent and self-driven. Believes in defining the problem statement, proposing and acting on the optimum solution is a humble Team player who is able to work in close collaboration with a remote distributed team in a matrix setup is comfortable working during Central European work hours (CET)