Data Analyst, Supply Chain
- Employer
- Target
- Location
- Brooklyn Park, Minnesota
- Start date
- Oct 27, 2021
- Closing date
- Nov 14, 2021
View more
- Category
- Retail / Wholesale
- Employment Status
- Full Time
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Description:
Data Analyst, Supply Chain Operational Intelligence
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 Data Analyst of Operational Intelligence Analytics will support a range of initiatives. This person will be responsible for supporting Lead & Senior analysts and constantly learning about both Target's supply chain business and data endeavors.
Responsibilities:
Qualifications:
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:
Data Analyst, Supply Chain Operational Intelligence
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 Data Analyst of Operational Intelligence Analytics will support a range of initiatives. This person will be responsible for supporting Lead & Senior analysts and constantly learning about both Target's supply chain business and data endeavors.
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.
- 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.
- Gain understanding of business outcomes and stakeholder responsibilities.
Qualifications:
- 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.
- Experience with SQL
- Analytical, creative, and innovative approach to solving problems. Bring on your curiosity!
- Familiarity with one or more scripting languages for data analysis (R, Python preferred).
- Familiarity with machine learning techniques (decision trees, clustering algorithms, xgboost).
- 4-year degree (or equivalent) in business analytics, supply chain, economics or related field OR equivalent experience.
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:
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