Nike-posted about 1 year ago
Full-time • Mid Level
Remote • Boston, MA
Leather and Allied Product Manufacturing

As a Senior Data & Analytics Solutions Engineer on the Converse Enterprise Data & Analytics Technology team, you will be responsible for driving the creation, improvement, and adoption of Converse's data products. This role focuses on delivering scalable analytics solutions that create business value for the Converse Direct organization by defining product increments that meet both stakeholder and technology needs. You will work closely with data engineers and other stakeholders to ensure data products are integrated into the existing data architecture and facilitate self-service analytics across the organization.

  • Drive the creation, improvement, and adoption of Converse's data products.
  • Deliver scalable analytics solutions that create business value for the Converse Direct organization.
  • Work with the Data Engineering squad to ensure data products are integrated into the existing data architecture.
  • Communicate the vision to stakeholders and help drive self-service analytics across the organization.
  • Contribute to the analytics product roadmap, highlighting risks and dependencies.
  • Own, maintain, and prioritize the data engineering product backlog.
  • Facilitate requirements gathering and scoping exercises, define acceptance criteria, and ensure capacity for the right work at the right time.
  • Ensure the readiness of the work, accept or reject work results, and align work to fiscal year priorities and internal data management standards.
  • Prioritize and make trade-offs based on understanding of strategies, epics, enabler requirements, defects, dependent teams, goals, and the value features and stories bring to customers and the business.
  • Assist in removing roadblocks for the data engineering squad.
  • Ensure all stories are supported, clear, and delivered in high quality.
  • Understand customer satisfaction and adoption of data products, providing suggestions for improvements.
  • Build and maintain end user documentation to support data governance initiatives.
  • Bachelor's degree or equivalent combination of education, experience or training.
  • Minimum 5 years relevant work experience.
  • Experience working with analytic tools and languages such as Tableau, Sigma, SQL, R, VBA, Python, etc.
  • Experience working with large data sets and complex data models; business analytics background preferred.
  • Intermediate SQL knowledge required.
  • Experience working closely with a team of data engineers and managing relationships with business partners.
  • Understanding Agile principles and methodologies and how they're applied.
  • Ability to solve complex problems and take a new perspective on existing solutions.
  • Ability to respond to and prioritize changing demands and work independently through ambiguity.
  • Strong oral and written communication skills with the ability to influence others internally and externally.
  • Passion for contributing to a culture of diversity, inclusion and belonging.
  • Health insurance
  • Dental insurance
  • 401k plan
  • Flexible scheduling
  • Paid holidays
  • Professional development opportunities
  • Employee discount programs
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