Analytics Product owner

Role Analytics Product owner

This role is hybrid, 3 days onsite and 2 days remote || New York, NY

key skills: Data Engineer, Data Analyst, SQL, PYTHON, JIRA, Confluence Product Owner, Financial service industry is a Plus.

Analytics Product Owner with our client in the financial industry located in New York, NY. This is an 12+ month contract position.

Responsibilities:

• Looking for a leader to explore and create modern data services
• By curating, designing, and cataloguing high quality data solutions, you will give our analysts the tools they need to reliably drive data-driven insights and decision-making
• This position offers an opportunity to engage deeply as a member of the Analytic Data Platform product management team while working with cutting edge technologies and developing new ways to organize data optimized for the challenges which analysts face
• Become a trusted advisor and thought leader on how the business uses data
• Establish and manage relationships with the analyst community
• Develop deep subject matter expertise in specific areas of client data in order to drive a backlog of dataset design and development
• Demonstrate intellectual curiosity for solving difficult business problems
• Manage curated strategic datasets as products, continuously focusing on the consumers of the data and their business needs
• Define the vision and roadmap for future data products
• Bring order to disparate business needs with high tolerance for ambiguity, very strong problem solving ability, and excellent client engagement skills
• Articulate business value for specific datasets, including defining quantitative and qualitative product success criteria
• Incorporate both the tactical requirements and strategic needs of our analysts into the roadmap and vision for data products
• Pivot quickly as client guidance evolves, always keeping the ultimate product objectives in mind
• Manage evolving user needs while continuously learning quickly on-the-job
• Deliver a product you believe in, sell its benefits across the user base, and innovate to be the best product available to get the job done
• Collaborate with engineering teams focused on building data pipelines for production use across analytic environments both on-prem and in Cloud
• Design datasets and data products intended to drive value
• Maintain and refine product backlog through consistent agile ceremonies and events
• Serve as a liaison between product, engineering and architecture teams to identify the design approach and stay accessible for iterating through development
• Verify the delivered features meet the business requirements through validation and user testing
• Schedule and lead meetings to identify issues and fixes for data products
• Develop and maintain documentation required to ensure consistency and high quality of data for use in even the most rigorously controlled use cases

Requirements:

• Interest in modern forms of product planning, customer discovery, product discovery, and product development processes
• Strong communication skills to articulate the project objectives to a broader audience
• Experience in big data ecosystems with data modeling, dimensional models, semantic layers and how large amounts of data are stored in enterprise level systems
• Demonstrate a good understanding of SQL, Python, and other data engineering tools
• Ability to operate in fast paced, detail-oriented organization
• Knowledge of Agile and Scrum, including tools such as Jira and Confluence, to write stories, maintain a healthy backlog and drive delivery of user focused value