Operations & Finance Predictive Analytics

Chicago, IL | Work from home flexibility

Job Category: Financial Services Consulting Job Number: 4486 Industry: Financial Services

Job Description

We are working with a finance company in the Chicagoland area on Analytics Consultant opportunity. This role will support multiple areas of the business with their analytics and modeling needs and have a lot of exposure to the executive team. You will act as an internal consultant and provide actionable insights and recommendations to business units including sales, marketing, underwriting and operations.



•Developing analytic solutions that address business questions across the organization

•Conducting in-depth analyses and building statistical models to identify trends and key drivers to inform strategic decisions

•Build and maintain KPI dashboards and other reporting to track performance

•Provide ad-hoc analytics and query support to internal teams

•Effectively communicate findings to stakeholders, including senior leadership team

•Serve as a thought leader within the organization, providing recommendations and creative alternatives to drive business growth



2-4 years of experience in an analytics role

•Bachelor’s Degree in a quantitative field

•Excellent analytical, statistical modeling, problem solving, and conceptual thinking abilities

•Comfortable handling sometimes ambiguously-defined problems, developing creative solutions and delivering meaningful results

•Strong communication and presentation skills, comfortable translating technical results into straightforward insights

•Experience with PowerBI or Tableau, SQL, Python, or R


keywords: financial services, analytics, reporting, statistical modeling, SQL, R, Python, Power BI, tableau, programming, consulting, marketing analytics, sales analytics, operations, business analytics,

Meet Your Recruiter

Katie Ferguson
Executive Recruiter

With an MS in Human Resource Development, Katie is a partner at Burtch Works and a specialist in quantitative marketing science and operations research.
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