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Sr Data Analyst - Supply Chain Ops Intelligence

Apply Now Location: 7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445; job id: R0000172248
job family: Business Intelligence Reporting & Analytics
schedule: Full time

Operational Intelligence Analytics, within Target’s Supply Chain, is responsible for identifying data and empowering users with insight to improve operational performance. The skills mix is a blend of data engineering, data science, and diverse problem-solving capabilities – jack of several trades, master of none. The team currently uses a wide variety of analytics tools including R, Python, SQL, and proprietary BI platforms (similar to Tableau) to work with small, sparse datasets as well as big data platforms like Hadoop. The Senior Analyst of Operational Intelligence Analytics will support a range of initiatives. This person will be responsible for breaking down complex processes in order to complete analyses that directly improve operational performance.


  • Execute or direct a variety of analytics initiatives including; metric identification, reason coding, hypothesis testing, time series analysis, cluster analysis, root cause analysis, scale of impact quantification, predictive analysis, business process improvement, or scenario analysis.

  • Inspire intellectual curiosity around operational improvement opportunities.

  • In situations when reliable data does not exist, look for creative ways to obtain it.

  • Contribute to the development of tools and processes which make the team more efficient.

  • Build deep understanding of business outcomes and stakeholder responsibilities.

  • Support partner teams that support us (DevOps, Data Science, Data Infrastructure).


  • Positive, people-oriented, enthusiastic and can easily work with others, regardless of their analytical proficiency or technical competence.

  • Proven track record of using feedback to adapt workflow and increase efficiency.

  • Analytical, creative, and innovative approach to solving problems.

  • A strong passion for empirical research and for answering hard questions with data.

  • Proficient with one or more scripting languages for data analysis (R, Python preferred).

  • Familiarity with machine learning techniques (decision trees, clustering algorithms, xgboost).

  • Of course, SQL. Ability to write it and explain it.

  • Familiarity with using virtual machines / servers, and Linux command line utilities.

  • 4-year degree (or equivalent experience) in business analytics, supply chain, economics or related field.

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.

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  • Technology and Data Sciences, Brooklyn Park, Minnesota, United StatesRemove


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