Senior Data & Analytics Solutions Engineer, Direct Analytics - CONVERSE (Remote Work Option)

Nike-posted about 1 year ago
Full-time • Mid Level
Remote • Boston, MA
Leather and Allied Product Manufacturing
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The Senior Data & Analytics Solutions Engineer at Converse will play a crucial role in driving the creation, improvement, and adoption of data products within the Converse Direct organization. This position focuses on delivering scalable analytics solutions that create business value, working closely with data engineers and stakeholders to ensure integration and effective use of data products.

  • 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 with 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.
  • Work with the data engineering squad to 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.
  • 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
  • Vision insurance
  • 401k plan
  • Paid holidays
  • Flexible scheduling
  • Employee discount programs
  • Professional development opportunities
  • Tuition reimbursement
  • Wellness programs
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