Advanced Analytics- Data Engineering Summer 2022
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.
Why people choose to work with us:
Steelcase has an established history of Advanced Analytics & Applied Data Science. We are helping the organization make significant data focused decisions and strive to be leaders of analytics across many industries.
We are an award-winning analytics organization recognized for transforming the organization by using our insights positively impact business processes and decision-making.
We believe you’ll grow from being mentored and collaborating with senior analytical modelers while gaining business insight by engaging with leadership in multiple business domains. During the summer you will gain exposure to some of the top executive leadership.
You’ll be working on high priority analytics projects tied to corporate strategy with the goal to:
- Save time
- Save money
- Win new business
- Optimize performance
- Reduce company waste
In partnership with our lead modelers you’ll apply:
- Predictive modeling
- Data mining
- Machine learning
- Applied statistics to real business problems
Who you are:
- Can you manage working with ambiguity?
- Do you have a knack for visualizing and interpreting data?
- Do you find a real passion for identifying patterns in data?
- Are you passionate about using data to tell stories and influence business decisions?
- Are you capable of communicating highly technical information to a non-technical person?
- Are you eager to explore emerging data technologies and environments?
Preferred majors: statistics, mathematics, computer science, actuarial science, data analytics, operations research, industrial engineering, and/or economics
Ideal students have experience with programming languages like R, Python, SQL, Java, or SAS and some exposure to cloud analytics ecosystems.
Your Future Team:
Our team of 14 analysts, is growing team and receives projects and support from executive leadership. We are a tight-knit reciprocal group who enjoy spending time with each other in and out of work.
We are proud of our diverse workforce, and we’re always looking to get better. We value applicants who enjoy 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.
We seek to find the best person to fill this role and will not discriminate based on race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, veteran status, or any other characteristic prohibited by law.