Lead Data BSA – Enterprise Data and Analytics
Client, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Client, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
Client is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at Client Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.
Client’s Enterprise Data & Analytics organization is redefining how data is gathered, run, governed, and unlocked, making it Available, Consistent, and Trusted to drive Client’s business! The Transactional Data Products team needs a Lead Data Business Systems Analyst to deliver Inventory and Logistics Data Products.
As a Lead Data Business Systems Analyst on the Transactional Data Product’s team, you will drive the ingestion and integration of sales and demand data, leveraged by Business Intelligence and Advanced Analytics teams to gain insights on Client’s successes and opportunities. You will propel analytics through robust data comprehension, data modeling, and cross-functional partnerships.
A successful candidate in this diverse role, will have a potential focus ranging from: (1) data architecture design to direct business process evolution, (2) reverse engineering existing solutions to understand and evolve the process, (3) researching a critical source system/service to automate ingestion, and (4) educating teammates on your robust knowledge of business data requirements and data movement. This role will be vital in shaping the landscape by which analytics teams interact with and leverage data, as each release broadens available data sets and expands analytics self-serve capabilities. Experience in inventory and logistics systems is preferred.
Preferred if you have: