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Data Analyst 2
Job Location:
Job Location:
Keller, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
30 October 2026 (17 hours ago)
Posted:
Application Deadline:
27 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
We are seeking a Data Analyst. The candidate should establish strong trustworthy relationships with business leadership and co-workers to ensure successful implementation of critical digital initiatives and standardization within the business. The candidate should have a passion for problem solving and delivering quality work that exceeds customer expectations in the allotted timeframe and demonstrate strong leadership qualities. It is imperative to be a self-motivated team player with attention to detail who can manage and prioritize multiple tasks and thrive in a multi-functional team environment.
Role Purpose:
* Work closely with supply chain planners and cross functionally to manage clarify and create the required data by understanding the business processes requirements for new and changed data.
* Subject Matter Expert for various master data elements ensuring data integrity and performing data cleansing as needed.
* Work on process improvement projects relating to data quality and analysis
Key Responsibilities:
* Work with data owners to load and maintain good quality data. Examples are removing duplicates completing incomplete data correcting format errors identifying data ownerships overlap issues etc.
* Follow business process & policies for data collection and upload data into systems to ensure data quality is maintained to effectively support the business process
* Define and clarify data definitions process flows and policies with functional data owners
* Update master data element definition and review the data entry process as needed to support business needs
* Lead small process improvement or data analysis projects participate in larger projects.
Performance Metrics:
* Response time to enter or manage data elements
* Data compliance rate
* Data process innovation ideas implemented
* Project specific contributions
Role Purpose:
* Work closely with supply chain planners and cross functionally to manage clarify and create the required data by understanding the business processes requirements for new and changed data.
* Subject Matter Expert for various master data elements ensuring data integrity and performing data cleansing as needed.
* Work on process improvement projects relating to data quality and analysis
Key Responsibilities:
* Work with data owners to load and maintain good quality data. Examples are removing duplicates completing incomplete data correcting format errors identifying data ownerships overlap issues etc.
* Follow business process & policies for data collection and upload data into systems to ensure data quality is maintained to effectively support the business process
* Define and clarify data definitions process flows and policies with functional data owners
* Update master data element definition and review the data entry process as needed to support business needs
* Lead small process improvement or data analysis projects participate in larger projects.
Performance Metrics:
* Response time to enter or manage data elements
* Data compliance rate
* Data process innovation ideas implemented
* Project specific contributions
Required:
* High personal and professional integrity and work ethic
* Attention to detail and precision
* Excel data and reporting skills
* Analytical skills
* Strong communication skills
Desired:
* SAP Master Data management
- Experience with PowerBi
- Interest in supply chain management careers
Experience/Education: High school diploma or GED BA or BS preferred.
Required:
* 1 years experience in Planning Procurement Warehouse Logistics Customer Service QA and/or Manufacturing
* Demonstrated ability to manage and manipulate data in various business systems or analytics applications.
Desired:
* LEAN or Six Sigma Experiences
Required Experience:
IC
About Company
CCO is transforming consulting by prioritizing outcomes and rapid implementation.
