Job Description 

As a pivotal member of the Global Services Advanced Analytics Team—integral to Global Services Finance & Business Management—we're seeking an analytics maverick. If you have an insatiable curiosity for data and enjoy problem-solving, coupled with a desire to drive business performance using cutting-edge data science techniques, you could be a great fit.

Your mission? Leverage your technical and communication skills to spearhead high impact initiatives that optimize operational performance and generate value by turning data assets into actionable insights. You will collaborate with senior leaders in this high-visibility role that thrives at the intersection of data, technology, and finance.

We are looking for a data enthusiast with a track record of developing analytics capabilities, a passion for quantitative problem solving, and the artistry to distill complex data insights into crystal clear concepts. In addition, the candidate should be able to harmoniously integrate with business and functional stakeholders throughout the organization.

Job Responsibilities 

Play a lead role in data analytics and insight generation initiatives through your applied data science expertise.

• Manage a comprehensive analytics strategy, from data acquisition to delivery
• Leverage business acumen plus a variety of technical skills to design, develop and deliver valuable data products
• Construct models/data applications tuned to yield salient, actionable insights
• Design compelling visualizations that simplify complex analytics messaging for all stakeholders
• Engage with business and functional stakeholders on analytics initiatives, developing strong partnerships grounded on data-driven solution
• Distill substantial business needs into potential data solutions
• Present data-driven insights, business value propositions, and standout next steps to senior stakeholders

Qualifications

• MSc. Or higher degree in a scientific field (Computer Science, Engineering, Operations Research, etc.) plus 3 years or more of experience in producing advanced analytics work with an emphasis in optimization
• Strong proficiency in statistical software packages and data tools, including Python and SQL
• Strong proficiency in Advanced Statistical methods and concepts, predictive modeling, time series forecasting, text mining
• Fundamental data engineering experience in designing and building experimental data pipeline for data acquisition and delivery
• Strong proficiency in Data Mining & Visualization (Tableau experienced preferred)
• Strong story telling capabilities including communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
• Familiarity with MDLC best practices, with strong commitment to iterative development, ability to engage and update stakeholders as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle
• Team player with a demonstrated strong work ethic. Demonstrates a high level of professionalism in behavior and performance and an ability to work well and productively with cross-functional teams

Location – Chicago (primary), Plano (secondary)