Handle large datasets, working with multiple data formats, including TLog data.
Manage transactional data efficiently.
Execute tasks on the Ingestion platform and take ownership of the EDive process.
Utilize SQL and Python for data processing tasks.
Ingest and validate sample data through the eDive system, collaborating with the eData Governance Analyst to ensure data assessment alignment.
Perform initial checks on incoming data (e.g., file size, store count, and missing stores) for TLog data to ensure accuracy.
Process data using the Ingestion engine and create Sirpairs during Business As Usual (BAU) operations.
Collaborate with the SO and PM teams to assess sample rotation occurring in TTR stores.
Set up new vendors in the Ingestion platform as needed.
Support Data Quality Initiatives (DQI) that link to EDive and the Ingestion platform.
Qualifications
Degree or certificate in Statistics, Data Analytics, or a related field, or equivalent work experience. An MBA or a Diploma in Operations or Production Management is a plus.
2-3 years of relevant experience in the field.
Quick learner with strong technical aptitude and the ability to comprehend complex systems.
Ability to manage senior stakeholders in a multi-country environment and collaborate effectively with global teams.
Experience handling large datasets, including exposure to various formats and TLog data.
Familiarity with transactional data handling.
Experience executing tasks on GRFE, Ingestion, or SIRVAL platforms.
Knowledge of SQL and Python, with a basic understanding of data handling and processing.
Familiarity with ETL processes and experience working with them is an added advantage.