via Prowlremote.com
$90K - 130K a year
Evaluate and improve digital data quality and accessibility, collaborate with stakeholders to support reporting, analytics, and AI initiatives, and develop data management standards and tools.
4+ years in data engineering or analytics roles, proficiency in SQL and Python, experience with data governance and digital data platforms, and relevant bachelor's or master's degree.
Note: The job is a remote job and is open to candidates in USA. KeyBank is seeking a Digital Data Product Analyst & Engineer to optimize their digital data ecosystem. This role focuses on ensuring the quality and accessibility of digital data for reporting, analytics, and AI initiatives, while collaborating with various stakeholders to drive data-driven decision-making across the organization. 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. Skills • 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. • Experience enabling data for AI and advanced analytics. • Knowledge of Adobe Analytics, FullStory, or similar digital experience platforms. • Strong communication skills to bridge technical and business requirements. • Master’s degree in Computer Science, Data Science, or related field. Company Overview • At KeyBank we’ve made a promise to our clients that they will always have a champion in us. It was founded in 1849, and is headquartered in Cleveland , Ohio, US, with a workforce of 10001+ employees. Its website is https://www.key.com.
This job posting was last updated on 12/2/2025