Kom het Converse Team versterken
Bij Converse ontdek je wat je sterke punten zijn, leer je grenzen verleggen en ga je steeds een stap verder. Wij zoeken mensen die kunnen groeien, denken, dromen en creëren. Kenmerkend voor onze cultuur is dat we diversiteit omarmen en creativiteit belonen. Als merk zijn we op zoek naar harde werkers, leiders en visionairs. Bij Converse willen we dat iedereen zijn eigen skills en passies inzet en zo bijdraagt aan een uitdagende wereld die constant verandert. Zo kunnen we als team de beste prestaties leveren.
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
We are open to candidates in Atlanta, Beaverton or Boston area.
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
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
ZO WERKT ONS SOLLICITATIEPROCES
1. Solliciteer
Onze teams bestaan uit mensen met diverse vaardigheden, kennis, input, ideeën en achtergronden. We willen dat je op de juiste plek terechtkomt: bekijk de functiebeschrijvingen, afdelingen en teams om te ontdekken welke functie bij je past.
2. Maak kennis met een recruiter of doe een test
Als je wordt geselecteerd voor een functie binnen Corporate, neemt een recruiter contact met je op om het sollicitatieproces te starten. Deze recruiter blijft gedurende het hele proces je belangrijkste contactpersoon. Voor functies binnen Retail doe je een interactieve test die bestaat uit een chat en quizzen. Deze test neemt ongeveer 10-20 minuten in beslag. Ongeacht de functie willen we meer te weten komen over jou, dus schroom niet om te laten zien hoe je service van wereldklasse benadert en wat jou uniek maakt.
3. Sollicitatiegesprek
Begin vol zelfvertrouwen aan deze fase door onderzoek te doen, te begrijpen waar we naar op zoek zijn en je voor te bereiden op vragen die zijn bedoeld om meer over jou en je achtergrond te weten te komen.
