Join KAR Global through its digital transformation of its Customer Experience Centers of Operational Excellence. KAR’s strategic CX strategy will simplify and enhance the customer experience in its goal to make the customer journey fast, fair and easy. Our team has the tools to enhance our support systems, logistics networks, arbitration procedures and vehicle title processes irrespective of where or how a customer purchases from KAR’s many marketplaces — whether online or at the auction.

About Our Candidate:

The Senior Data Analyst will be responsible for supporting operational excellence when servicing our marketplaces and customers, by providing data driven insights and reporting that enables decision making and informs internal process optimization. This role will provide analytical leadership by extracting and analyzing data from a variety of sources, utilizing facts through data to inform business growth and development.

You will lead cross functional project teams and provide hands-on technical expertise, to deliver robust business solutions to internal and external stakeholders. You will design critical analytical dashboards, reports, and queries to drive strategic business decisions, ad-hoc analysis, and identify descriptive and prescriptive solutions for internal teams and external customers. We will need you to dig deep into the core issues of business problems in order to drive a solution that gets at the heart of the root cause.

What You Will Be Doing:

• Creating and developing reporting required for programs and projects, supporting business development into new markets and related initiatives




• You will interact with all internal operational and product development areas that impact the KAR Global customer experience, sharing findings and making proposals on process changes and optimization, based on data insights




• Evaluating or proposing requests for new services and programs using cost and service data.




• Creating and maintaining scorecards, communicating to Contact Center, Arbitrations, Logistics, and Financial Ops leadership, as required and recommend necessary actions to improve were applicable

You Should Have the Following:

• Experience in creating or maintaining reports and analysis that directly impact decision making at the senior management level




• Ability to collaborate with peers, business partners, and senior managers on cross-functional projects




• Ability to effectively present information both orally and in written form and respond to questions from senior managers, business leaders, and peers



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  Demonstrated knowledge in some of the following areas and tools:

  
  
  
  

  • BI, Data Exploration & Visualization Tools

  
  

  • Tableau

  
  

  • Modelling concepts

  
  

  • Structured Query Language (SQL)

  
  
  
  

• Ability to troubleshoot and define problems, collect and interpret data, establish facts and draw valid conclusions to find a solution




• Ability to think cross-functionally, join data from various sources and draw meaningful conclusions/develop innovative solutions




• Demonstrated analytical and financial modelling skills and comfort with Finance and Accounting principles




• Accurate in processing transactional data




• Must be able to work in a fast-paced, fun, challenging group environment that embraces continuous learning and a feedback culture




• Ability to work independently under little guidance on several projects simultaneously and be self-directed while working under tight deadlines




• Passion for all things data




• Ability to develop and maintain relationships that build a foundation of trust and open dialog




• Ability to coach and develop team members




• Follow through and accountability with all levels both internal and external

What You Need:

• Four-year degree in Business Analytics, Data Analytics, concentration in one of the following: Business, MIS, Finance, or Accounting, or equivalent relevant job experience




• 5-7 years of direct experience in analyzing, visualizing, and reporting data to drive business decisions




• Proven exposure to several of the following areas: data analytics, data wrangling, database management, forecasting/business planning, demand planning, and information technology




• Advanced to Expert Excel skills required