This role is expected to be comfortable querying data in hive like tools and bonus if they understand data modeling and data warehouse principles. Candidate should feel comfortable discussing business use cases with Data Scientists and Product Management as well as details with developers.Person should have few years of analyst and or requirements or developer or product experience.
Client’s Consumer Data Engineering Center of Excellence is a growing team responsible for building and deepening a holistic view of Client’s consumers through data and analytics, and applying those insights to inform the development of incredible digital services and experiences for our consumers.
We are looking for a top-tier professional dataproduct managerto define the design, capabilities, and implementation of an evolving data and analytics platform. This person will work cross functionally with business teams, data science, engineering, and architecture teams to drive requirements through the product development lifecycle.
The Data & Analytics BSA must have experience successfully working on enterprise-scale data products and a deep understanding of how progressive reporting and analytics systems are designed, built, and operated. Candidates should have prior data analytics,design, and modeling experience and a deep familiarity withSQL or HIVE. Success in this role will require an ability to understand both stakeholder and partner requirementsto define the short and long-term strategy for delivery, document technical product specifications in appropriate detail, and work across engineering, program, and product to guide development.
The ideal candidate must be able to comfortably maneuver from deep business domain & analysis work to defining technical requirements and potentially prototyping solutions. They should have previously contributed to a data platform, data warehouse, or data product technical programs. Theycan influence via great technical requirements and engineering partnerships, and is excited to work in a dynamic data environment with a strong set of teammates will be a great fit for this role.
Write, drive, and prioritize thoughtful and detailed functional specifications for data ingestion, data cleansing, data quality, analytic processing, BI, and data science use cases then drive them via an Agile development methodology
Become a subject matter expert across the entire Client data & analytics landscape, enabling the Client Consumer Knowledge organization
Work with data engineers, data scientists and data product managers on optimal data structures for efficiency of analysis
Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions
Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
2-5 years of relevant analytical experiences that can translate into defining platform vision into requirements and working with the best engineers, product managers, and data scientists
Exceptional SQL skills; Experience with HIVE a plus
Experience writing detailed technical specifications describing requirements for data movement, transformation, storage, quality checks, and accesslatency
Incredible attention to detail, with structured problem solving approach
Excellent communications skills (written and verbal)
Understanding of the nature of web data and app data
Understanding of data architecture, data taxonomy, and both structured and unstructured data
Understanding of logical and physical data modeling
Experience with agile development methodologies
Considerable experience with at least one Hadoop distro and associated tools
Experience with data transformation and BI tools
Experience with retail or ecommerce domains is a plus