Data and Business Intelligence Lead - S&OP

Minneapolis, Minnesota, United States
Sep 19, 2018
Nov 09, 2018
Employment Status
Full Time
Description: The S&OP Data and Business Intelligence Lead will create technical solutions to support development and innovation efforts with in the S&OP Forecasting and Operations team.  They will deliver enhanced technological capabilities in an effort to drive better forecast performance.  They will perform with high urgency and accountability to deliver new solutions that will elevate the performance of the entire S&OP team.  They will continually learn new technical skills, ensuring that S&OP's analytical and technical capabilities stay current with the broader environment inside of Target.


1.            Translate S&OP's supply chain and business problems into impactful technical solutions.

2.            Collaborates and consults with the broader S&OP team to develop and implement solutions that enable improved forecast accuracy and operational effectiveness. 

3.            Rapidly prototype & iterate on development of Data/BI products and capabilities to advance the strategic direction of S&OP.

4.            Create solutions that enable the team to find, automate, analyze, or visualize Target's data.

5.            Ensure continuous improvement by responding to feedback, championing process improvement initiatives, continuously learn new technical skills.

6.            Provide expertise to link the S&OP products into broader work within Target's tech/data teams in order to create or support production quality solutions when necessary.

7.            Provide input to other tech/data teams across Target to inform and influence design of future state supply chain technologies and capabilities (inventory planning, purchasing, automation, transportation, etc).

8.            Coach, consult and teach S&OP team members on technical skill sets, capabilities, and methodologies that can be leveraged to accomplish their objectives. Acts as the subject matter expert on multiple technical categories that the team works in, informing and influencing new approaches to solving problems and how our technical products should be built.


•             Bachelors in business, math, computer programing and/or engineering

•             Experience creating data solutions using R, Python, Java, or comparable language

•             Independently owned the full lifecycle of more than 1 significant technical products (from inception, through ideation and development with customers, implementation & management)

•             Strong ability to effectively translate business needs and challenges into technical solutions/products

•             Strong critical problem-solving ability & root cause analysis mindset

•             Experience writing SQL

•             Advanced experience with MS Excel, MS Access, and similar programs (VBA, advanced formulas, non-technical user tool creation)


•             Experience with Six Sigma or LEAN processes

•             Experience writing and tuning advanced SQL (Teradata, DB2, Hive, Oracle)

•             Ability to source data from web API's and other non-RDBMS data sources

•             Previous experience in statistical program development and deployment

•             Previous experience with regression methodologies and/or machine learning techniques


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