Supply Chain Analytics Analyst

Company Overview

Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day.® by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Dollar General operates more than 18,000 stores in 47 states, and we’re still growing. Learn more about Dollar General at www.dollargeneral.com.

Job Details

GENERAL SUMMARY: 

This role provides analytical support to the entire Dollar General supply chain to drive optimization within inventory management, transportation, and distribution networks. It is responsible for building descriptive, predictive, and prescriptive models to drive impact considering the end-to-end supply chain in addition to traditional reporting and ad-hoc analysis. This individual is expected to lead complex analysis, clearly summarize findings, and present recommendations to business partners and leadership.

Duties & Responsibilities:

·  Ensure a high degree of data quality and reporting accuracy, including implementing standards and processes such as data audits and reports and dashboards validation

·  Responsible for the design, development, and implementation of descriptive, predictive, and prescriptive models to meet analytical objectives for supply chain

·  Complete ad-hoc analysis and reporting to support key supply chain initiatives and drive continuous improvement

·  Create clear and concise communication of findings of data analysis to enable organization to use the results to make key business decisions

·  Partner with supply chain, store operations, merchandising, and other department leadership in the development and deployment of process improvement initiatives.  Works with IT, finance and other support functions to remove constraints, justify investments, and implement solutions that improve service and reduce expense.

Qualifications

KNOWLEDGE and SKILLS:

• Programming experience, ideally with querying tools (e.g. SQL), data analysis tools (e.g. Python, R), and data visualization (e.g. Tableau, Power BI)
• Ability to take complex analytics and be able to simplify and clearly communicate findings to leadership and other non-technical colleagues
• Ability to lead projects with hands-on analysis and modeling, drawing from multitude of analytical methods
• Design and execute appropriate analyses to size potential impact of problems or solutions

WORK EXPERIENCE and/or EDUCATION:

Bachelor’s degree required with emphasis in Computer Science, Data Science, Analytics, Statistics, Information Science, Business Intelligence, or related field.

Course work, practical experience in data and analytics.

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