Data Product Owner
1 giorno fa
Awin is seeking a highly skilled Data Product Owner to join our team. As a key member of our Data Services department, you will be responsible for implementing data integration methodologies, identifying data quality issues, and improving data quality.
Key Responsibilities- Collect and document requirements for data cloud storage solutions and data projects
- Develop business and technical specifications to translate data projects into actionable plans
- Manage data and machine learning projects, overseeing engineering work to ensure timely implementation and removal of impediments
- Communicate with business stakeholders to ensure a smooth flow of information and updates
- Enhance data integration procedures and ensure data quality, accuracy, and readiness for reporting purposes
- Proactively identify and collect additional data sources to improve machine learning solutions
- Provide guidance and mentorship to team members, sharing knowledge in data science, data profiling, and SQL proficiency
- Execute analytical experiments to inform business decisions across various business units
- Bachelor's degree or higher in Data Science, Data Engineering, Business Intelligence, or a related field
- 3+ years of experience as a Data Analyst, Data Scientist, Data Engineer, or similar role
- Strong knowledge of analytics tools and in-house reporting (Tableau, Power BI)
- Experience with Microsoft Azure tech stack (Azure Data Factory, Azure Data Bricks, ADLS, Azure Event Hub, Azure SQL DB)
- Strong understanding of scrum practices and agile mindset
- Strong experience with machine learning (ML framework/libraries) and predictive modeling
- Strong foundation in statistical procedures for accurate data analysis
Awin is a dynamic, social, and inclusive company that values diversity and inclusion. We champion uniqueness and authenticity, and our network of affiliate partnerships is diverse and transparent. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
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