Applied Data Science Analyst

Steelcase | Grand Rapids, MI

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Posted Date 11/06/2019

Who we are:

Steelcase was founded as an office furniture maker, and we've evolved into the global leader in workplace solutions. We apply our insights to the intersection of space, technology, and furniture, helping individuals and teams in leading companies around the world to have a better day at work.

We pursue innovation, strive for sustainability and develop insights in every part of our business. Watch this video to learn more about us.

Why people choose to work with us:

Let's start with the cool workspace—after all, that's our business. But that's just one of the ways we help people like you do their best work. We encourage curiosity and critical thinking, we embrace wellbeing in its broadest sense and we provide coaching and inspiration at every step of your career journey.

What you will be doing:

You will be responsible for establishing relationships with business partners and executives in addressing complex problems and new business opportunities using data science techniques; developing predictive and prescriptive analytical solutions. Although your work will be highly technical, we are looking for someone with great communication skills and business acumen to lead the design of our analytical models to ensure these are best suited to support our digital transformation. You will collaborate with data engineers, business subject matter experts, process engineers and functional leadership to establish contextual understanding of our analytical solutions. You should feel comfortable having highly technical conversations but also being able to translate those into what it means for our business processes.

Who you are:

  • Provide leadership to effectively communicate results of analytical solutions using visual storytelling to broad audience, including business partners and executive leadership.
  • Ability to Conceive, Design, Develop and Deliver as an internal business consultant applying data science, predictive and/or prescriptive analytics to solve critical business problems.
  • Ability to identify emerging patterns that can be found through the analysis of big data, unstructured data, and data from multiple internal and external sources.
  • Ability to translate business problems into applicable data science, statistical, mathematical solution, providing contextual insight to enhance and improve business decision making.
  • Ability to manage projects with strong technical and data-driven components.
  • Use both quantitative and qualitative data sources to successfully generate results.
  • Able to overcome obstacles to achieve results, can work independently and as part of analytical project team to accomplish the objectives for our business partners.
  • Highly motivated self-starter with the ability to assimilate business concepts into tangible actions. Comfortable dealing with uncertainty and ambiguity.
  • Strong business acumen.
  • Strong communication skills.

  • Advanced degree in Statistics, Mathematics, Data Science, Predictive Analytics, Engineering, Economics, Operations Research or similar technical field is highly preferred;
  • Experience in development and/or application of statistical analyses, forecasting, predictive and prescriptive modeling techniques.
  • Knowledge of visualization platforms (e.g. Tableau, Microstrategy, PowerBI) and applied use in visual storytelling is preferred.
  • Experience in Business Consulting or Strategy is preferred.
  • General knowledge of business functions, operating models and applied business analytics experience is preferred.

Your Future Team:

You belong to a global, diverse, highly engaged crew that is focused on leading the organization through its digital transformation by working on problems + opportunities that require the creative and quantitative analytics of data to enable a capability for the organization that would be otherwise unavailable.

Our focus is to:

  • Empower the organization to make data-driven decisions.

  • Enable new ways of working through the use of Data Science.

  • Lead the design and development of product offerings that provide value through analytics.

We are proud to have a diverse and inclusive workforce, and we're always looking to get better. We value applicants who are comfortable interacting with people different than themselves. Women, people of any race or national origin, lesbian, gay, bisexual, and transgender people, veterans, working mothers and fathers, and everyone else are all invited to apply.

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