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

Open to remote work except in South Dakota, Vermont and West Virginia.

Information about benefits can be found here.
 

ABOUT CONVERSE TECH

By joining our team, you will be a strategic partner that collaboratively delivers enterprise value and innovation. We define leadership as growing yourself, growing together and growing the business: Be authentic, courageous and inspired by possibilities. Create an environment of inclusion and trust. Deliver results with clarity and accountability. We will rely on you to bring your whole self to work and you can expect in return an environment that fosters growth by challenging and inspiring you to lead in your space.

As the demand for technology continues to evolve, we seek individuals who bring a unique perspective and new ways of thinking to elevate the brand’s potential. Our team leverages a diverse set of backgrounds and skills to create and iterate on technical solutions that drive growth for our business. We work cross-functionally within the enterprise to solve problems and bring creative solutions to life. Always connected by a bigger purpose, we keep the consumer at the center of everything we do.

WHO YOU’LL WORK WITH

You will work hand-in-hand with data engineers, other solutions engineers, and Direct Analytics team members and with a variety of dedicated Nike partners. You will join a highly motivated team that will be a driving force in building Data and Analytic solutions for the Converse Direct organization.

WHO WE ARE LOOKING FOR

On the Converse Tech team, we seek individuals that have:

• A solid understanding of our business; an understanding of how we create and move product, and how we serve customers

• An agile mindset; familiarity with delivery within an agile framework

• People leadership; managing with courage and acting with integrity and honesty and creating an environment of inclusion and trust while holding yourself and others accountable.

• Cross functional collaboration and stakeholder management with the ability to communicate effectively with both technical and non-technical stakeholders

• Technical literacy; a foundational understanding of critical technology concepts

• An analytical mindset: the ability to acquire, visualize and analyze data to inform decisions; The ability to formulate and test hypotheses

Skills & Qualifications:

• 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 collaborating and managing relationships with business partners

• Understanding Agile principles and methodologies and how they’re applied

• Able to solve complex problems and take a new perspective on existing solutions

• Able 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

WHAT YOU’LL WORK ON

As a Senior Data & Analytics Solutions Engineer on the Converse Enterprise Data & Analytics Technology team, you will drive the creation, improvement, and adoption of Converse’s data products. You will focus on delivering scalable analytics solutions that create business value for our Converse Direct organization by defining product increments that meet both stakeholder and technology needs.

• 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, highlight risks and dependencies 

• Own, maintain and prioritize the data engineering product backlog; facilitate requirements gathering & scoping exercises, define acceptance criteria, ensure capacity for the right work at the right time

• Ensure the readiness of the work, accept or reject work results, and that the work is aligned 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

• Work with the data engineering squad to ensure all stories are supported, clear, and delivered in high quality 

• Understand level of customer satisfaction and adoption of data products, and provide suggestions for improvements 

• Build and maintain end user documentation to support data governance initiatives