Why WWT?
At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.
Founded in 1990, World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, with $20 billion in annual revenue, combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test, and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution, and integration capabilities.
With nearly 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation, and leadership focus on diversity and inclusion. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners, and communities.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What you will be doing as a member of our IT Analytics Delivery team:
Model, design, and frame business scenarios that are meaningful and impact critical HR business processes and/or decisions. Collaborate with analysts, developers, data engineers, architects, data scientists, and other domain experts to match technical solutions to stated HR business problems. Develop experimental and analytic plans for data modeling, matching algorithms, and exploratory data science. Prepare accurate database design and architecture reports & diagrams for management and executive teams, specifically focusing on HR data. Ensure design coherence to all company and regulatory data privacy requirements. Ensure clarity around technical, business, and non-functional requirements for project clarity and execution. Validate deliverables and adherence to architectural design. Build and enhance data catalog and document data process flow details. Research and evaluate sources of information to determine any limitations in quality, reliability, performance, and usability. Maintain company data quality standards by actively evaluating data processing for accuracy, timeliness, completeness, consistency, and validity. Build relationships with business and development teams. Provide timely coaching and mentorship as we continue our data maturation. Communicate with key stakeholders in soliciting feedback and input on potential process improvements.