Supply Chain Analytics Manager

Cox is looking for an experienced Data Analytics Manager to lead the identification of improvement opportunities and execute on the development of necessary tools, automations, and analytics that ensure senior leadership visibility to agreed upon Enterprise Supply Chain performance metrics. The Data Analytics Manager will Partner with all Supply Chain teams and business partners to translate findings into data-based recommendations and metric reporting that will improve end-to-end Supply Chain operations and efficiencies. The qualified candidate must be able to research and benchmark end to end Supply Chain best practices across industries and develop and implement process to optimize operational effectiveness for Supply Chain (strategic sourcing, procurement, & operations). Qualified candidates must be able to identify conflicting business practices, including lack of access to data, and be able to design, build and implement creative solutions. This position has a high level of visibility and interaction with senior leadership and a variety of other departments and business functions. The role requires an individual who has experience in analyzing and interpreting data, understanding business operations to the extent required to recommend impactful and actionable KPI's. Qualified candidates should have a high degree of curiosity, excellent communication skills, the ability to build and manage relationships, and operate with little oversight.
PRIMARY RESPONSIBILITIES AND ESSENTIAL FUNCTIONS:

• Define business problems, scope the analyses, and identify solutions in partnership with Supply Chain and various other financial and operational teams.
• Translate analyses into recommendations to improve Supply Chain functions through enhancements, self-service tools, or automation.
• Lead and support the measurement and communication of the causal impact of key initiatives on business planning and Supply Chain strategy.
• Support the process of continuous operational improvements, industry benchmarking and key performance indicator measurement to increase the effectiveness of the various Supply Chain functions.
• Support the development of Supply Chain business planning models and analytical tools.
• Develop effective leadership presentations and documents that clearly communicate results that align with business issues and challenges.
• Communicate complex information in a simple clear and concise way.
• Contribute to resolving cross functional implementation issues and challenges.
• Oversee the development of tools, tests, and dashboards to enable implementation of insights.
• Support testing, training, and development of new business practices.

QUALIFICATIONS AND EXPERIENCE:
Minimum

• BS/BA in quantitative field strongly desired (i.e. statistics, QM, Computer Science, Economics, Analytics, etc.) with 6 years of experience in a related field; OR 10 years of equivalent experience in lieu of a degree.
• 5 or more years of experience required developing and implementing analytical solutions in Finance, Marketing, Sales, or Supply Chain.
• Extensive knowledge and experience with BI / Analytical tools such as Python, R, Tableau, etc. as well as SQL and data manipulation. Excel and PowerPoint.
• Data warehousing, architecture, and governance experience to maintain and guidance on the strategic direction of an existing data warehouse.
• Extensive teamwork, communication, presentation, and time management skills (prioritization) to work effectively with teams throughout organization.
• Basic understanding of project and program management concepts and some experience with project management
• Advanced experience with MS Office (Excel, PowerPoint, Word)

Preferred

• MS degree + 4 years of experience in quantitative field strongly desired (statistics, QM, Computer Science, Economics, Analytics, etc.); OR Ph.D. + 1 years of experience in a related discipline.
• Advanced degree in Business, Applied Mathematics, Statistics, Economics, or other analysis related fields preferred.
• Certification in CAP (Certified Analytics Professional) and/or SAS Foundation Certifications (Certified Base Programmer or Advanced Programmer) preferred.
• Experience within telecom, consumer package goods, retail, financial services, or consulting service preferred.
• Operational analytics including application for Finance, Business Ops, Field Operations, and Engineering / Outside Plant preferred.

USD 90,100.00 - 150,100.00 per year
Compensation:
Compensation includes a base salary of $90,100.00 - $150,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.