Business Intelligence & Analytics Manager for Home Services in HOFFMAN EST, IL at Sears Home Services

Date Posted: 7/26/2019

Job Snapshot

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Job Description

Req/Job ID: 975254BR
Employing Entity: Transform SR LLC
Employment Category: Regular, Full-time
Job Function: Finance/Accounting
Store ID: 58490: Sears Roebuck & Co.

The Business Intelligence & Analytics Manager is responsible for supporting Operational, Financial and Marketing analytics within the Home Services division. The BI Analytics Manager will build out frameworks for overall reporting as well as making the data integrity flow into the cloud space a success *in addition* to ensuring opportunities for revenue and cost minimization are met.

This position analyzes complex data structures and relationships while designing and developing prototypes for complex, multi-dimensional reports. This role works with business partners inside and outside of Sears Home Services to create new BI service offerings driven by analysis of data.

Job Requirements

  • Manages the targeting and solicitation of Marketing programs to optimize response, revenue, and profit performance across Home Service products, marketing media, and creative venues
  • Work closely with Director and Business Unit Leads to address ad hoc financial/consumer/product/services insights/inference needs in a quick and timely manner.
  • Designs analytic test approaches with recommend sample sizes, and analyzes results from test initiatives
  • Develops analytic tools to evaluate and manage sales of Home Service products
  • Analyzes behavioral, demographic, and other information to help identify opportunities for revenue growth, cost-reduction, and other components of profit optimization
  • Develops reports and simple analysis
  • Consistently provides subject matter expertise to business unit leaders & staff to improve reporting efficiency and on usage of new tools with feasibility

  • Bachelor's degree in Mathematics, Statistics, Computer Engineering/IT anything that lends itself to a strong quantitative foundation.
  • Comprehensive computing skills, with familiarity in current data mining tools, statistical techniques, and modeling tools
  • Highly analytical, with excellent problem-solving skills and high intellectual capacity
  • Excellent verbal and written communication skills
  • Strong project management skills to ensure department work is well-planned and executed
  • Ability to lead and influence behavior of others.
  • Proficient with quantitative methodologies such as regression analysis (linear/logistic/multi-variate) cluster analysis, sequencing of data, random number generation and more.
  • Fluent in Structured Query Language (SQL)
  • Familiar with Data Warehousing principles is preferred
  • Knowledge of Teradata, Service Bench, SalesForce, AWS, Snowflake, Sigma or Excel VBA is a plus



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