Delivery Operations Manager
CircanaAbout the role
Sr MGR, Data Management
Let’s be unstoppable together!
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana.
Learn more at www.circana.com.
What will you be doing?
The Sr MGR, Data Management role is a trusted business partner who is regarded as a data and insights expert, able to draw actionable insights and conclusions to help drive Circana’s clients’ business performance. The Analyst understands how to use and interpret the various Circana data sources and leverage existing modelling solutions to address clients’ business challenges and market opportunities (i.e. trade marketing, pricing and promotions, mix modeling). The Analyst develops and maintains a deep understanding of Circana data, understands clients’ businesses, and demonstrates a knowledge of new and emerging analytic solutions (both Circana and industry).
Job Responsibilities
- Manage the overall day-to-day execution of operational processes that deliver updated market data into IRI’s suite of Omnichannel Consumer and Market Measurement solutions in the US.
- Ensure appropriate resources are available throughout the production cycle to operate the process, troubleshoot the system if failures occur, and adjust as needed to meet stated business objectives.
- Develop, maintain, and improve standard operational processes in support of delivering updated market data to end customer solutions.
- Develop, maintain, and improve quality control systems to ensure the quality of the data in the end solutions meets customer expectations within the scope of the product requirements.
- Develop, maintain, and improve systems and processes that collect, plan, schedule, and execute ad hoc data processing requests to meet customer and business requirements.
- Ensure the operating process has appropriate and effective performance measurements aligned with customer needs and overall business objectives.
- Collect, analyze, and present process performance information as well as recommendations for improvement in operational processes and/or technical automaton processes.
Requirements
- A Bachelor’s Degree required in Marketing, Economics, Statistics, or business related quantitative field. An advanced degree in a quantitative or analytic discipline is preferred.
- Up to 4 years of experience in solving business issues with analytics, leveraging data in a research or consultative setting, or applicable Master’s degree preferred.
- Advanced Analytics:
- Strong analytical skills and ability to translate data into insights.
- A technical foundation that includes a conceptual understanding of statistical modeling techniques (experience with programing languages such as R, Python, SAS, SQL a plus).
- Enthusiasm for data mining, working with large datasets.
- Planning and Organizing:
- A high level of initiative and responsibility, dedication to quality, a strong work ethic, creativity, and a positive attitude.
- Determines effort and resources required to meet objectives: plans, coordinates, and manages resources effectively.
- Has the foresight to identify possible issues and take action to mitigate them.
- Takes ownership of projects and holds oneself accountable to meet agreed upon timeline and quality standards.
- Cross-Functional Influence:
- Demonstrates effective team behaviors including informing others of relevant information, supporting team decisions, encouraging oth
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