Few traits open doors quite like a penchant for numbers. So why settle for a job anywhere short of the cutting edge? At these companies, you’ll have an opportunity to analyze voice communications, fix healthcare, discover new forms of targeted marketing and shape the growth strategy of one of Chicago’s hottest consumer tech companies.
What they do: Leveraging data science, Pareto Intelligence makes it easier for companies in the healthcare industry to understand the risks they’re taking on and manage the cost of providing healthcare.
What you’ll do: Analyze data and support the design of new analytical models for Pareto’s software platform. You’ll also support internal teams, including consultants, product teams and other analysts as needed, and help identify opportunities for new data tools.
What you’ll need: A bachelor’s degree in a quantitative field and an interest in working with data analytics. An ability to juggle competing priorities is a must, as are top-notch communication skills. Preferred skills include three years of experience with quantitative work, exposure to large data sets, SAS, R or Python, and a penchant for data visualization.
What they do: Formerly Procured Health, Lumere makes software that lets healthcare providers understand the impact of their decisions on both patient outcomes and the bottom line. That can mean cutting down on unnecessary procedures, making data-based decisions about buying new devices or reducing overprescription of expensive medication.
What you’ll do: Develop and maintain visualization tools that help Lumere’s clients understand their own data. You’ll work closely with the company’s product management and UX/UI teams to embed those tools within its applications. You’ll also be responsible for troubleshooting technical challenges with visualization and helping improve the company’s analytical models.
What they do: Vail Systems delivers telephony software, analytics and cloud-based communications tools that help companies streamline the customer service experience both for themselves and for their customers.
What you’ll do: Analyze billions of packets of voice data to uncover new insights about customer satisfaction, fraud risk and speech intelligibility. You’ll need to be comfortable analyzing huge amounts of quantitative and qualitative data, create data visualizations and customize proprietary tools and open source code to get the job done.
What you’ll need: A bachelor’s degree in a quantitative field, as well as proficiency in SQL, Git and R, Python or Matlab. You’ll also need to be fluent in a data visualization tool like Tableau or Power BI, and a penchant for communicating complex insights to non-technical audiences and collaborating with team members and clients alike.
What they do: LotLinx makes AI-powered digital marketing tools for automotive dealers that deliver ads for specific vehicles on their lots to prospective buyers.
What you’ll do: Analyze data to discover actionable insights and build and automate models to solve concrete business problems. You’ll also aggregate data and work with engineers to improve the company’s data collection and preprocessing tools.
What you’ll need: At least two years of experience in data analytics and experience with Python and SQL. You also need a bachelor’s degree in economics, applied mathematics, engineering or another quantitative field, as well as a certification in Google Analytics.
What they do: Raise is a retail payments company that specializes in gift cards and discounted store credit. The company operates the world’s largest gift card marketplace.
What you’ll do: Work within a cross-disciplinary team to analyze data that will inform decisions about product roadmaps, marketing and business opportunities to support Raise’s future growth. Your expertise in data collection, interpretation and experiment design will have a major impact on the company’s future.
What you’ll need: A bachelor’s degree in a quantitative field or equivalent experience, and four or more years of experience in data modeling, analytics or experiment design to support marketing. You’ll need to be skilled at ad-hoc analysis, as well as at communicating your insights. Collaborative skills are a must, as is proficiency in R or Python and experience with cloud platforms and database technology.