Commercial Data Analyst turning data into insights for Sellpy, a sustainable e - commerce company, shaping better decisions and marketing strategies.
About the role
- Digital Data Product Analyst & Engineer optimizing digital data ecosystem for KeyCorp. Ensuring high quality, accessible digital data for analytics and AI initiatives.
Responsibilities
- Evaluate the current digital data landscape to identify gaps in coverage, quality, and accessibility
- Define and implement strategies to ensure required digital data is available for business needs
- Partner with KTOS to enable digital data for reporting, analytics, and AI use cases
- Establish standards and processes for data quality, completeness, and observability
- Monitor data pipelines and ensure compliance with governance and security requirements
- Drive initiatives to improve metadata, lineage, and documentation for digital data assets
- Ensure digital data is discoverable and understandable through the organization’s data literacy tools
- Develop dashboards, catalogs, and documentation to enhance transparency and usability
- Work closely with engineering, analytics, and product teams to integrate digital data into workflows
- Collaborate with business stakeholders to prioritize data needs and deliver actionable insights
- Support advanced analytics and AI initiatives by ensuring timely and accurate data availability
- Recommend tools, frameworks, and best practices for digital data management and observability
Requirements
- 4+ years in data engineering, data product management, or analytics roles
- Hands-on experience with digital data platforms, ETL processes, and data governance
- Strong understanding of data architecture, APIs, and integration patterns
- Proficiency in SQL, Python, or similar languages for data manipulation
- Familiarity with data cataloging and observability tools
- Bachelor's degree in Computer Science, Data Science, or related field (Master’s preferred)
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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