Description:
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 Lead Analyst of Operational Intelligence Analytics will play a central leadership role in supporting multiple initiatives. This person will be responsible for guiding analyses that directly improve operational performance, inspire stakeholders to embrace the fast paced / always changing environment, and communicating complex analytics to a broad ranging audience.

Responsibilities:

• 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.
• Indirectly supervise analysts/senior analysts to answer business questions based on data and analysis

• Inspire intellectual curiosity around operational improvement opportunities
• In situations when reliable data does not exist, look for creative ways to obtain it
• Influence system owners to build data or create processes to capture data

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

Qualifications:

• Positive, people-oriented, enthusiastic and can easily work with others, regardless of their analytical proficiency or technical competence
• Can make decisions with little to no guidance from manager or other leaders; proven track record of taking ownership and driving results
• 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 in handling unusual data sets such as unstructured data or big data (MapReduce approaches, HDFS, Hadoop architectures, Pig, Spark)
• Familiarity with machine learning techniques (decision trees, clustering algorithms, xgboost)
• Of course, SQL. Ability to write it, teach it, explain it.
• Experience 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.

Qualifications: