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Supply Chain Strategic Data Analyst

Baylor University Medical Center

Supply Chain Strategic Data Analyst

The Supply Chain Strategic Data Analyst solves advanced, complex data management problems. Maintains, develops and provides solutions, procedures, standards, templates, verification/auditing documentation of data management activities. In addition to data management support, this person works well with customers and other stakeholders (business and technical). This position is considered a career level position.

Mostly work offsite, in office two days a week.

Essential Functions of the Role

  • Collects, cleanses, aligns, maintains, and manages data generated by multiple teams according to overarching business goals and direction, giving visibility and transparency to leadership, supporting effective and efficient business operations.
  • Analyzes and maintains the accuracy and consistency of the data by gaining an understanding how the system data is used by different stakeholders within the business, creating data standards, analyzing and monitoring data quality using both automated and manual methods, and addressing issues.
  • Provides expertise and guidance for positions less focused on data management, including the understanding of Baylor Scott & White Health policies, procedures and standards, all areas of data administration, data management design, implementations, updates, maintenance, support, documentation reporting, research and development for data ecosystems of medium complexity.
  • Executes data management and related requirements including but not limited to data gathering, quality control, disaster recovery and high availability solutions, analyzing and developing data alignment based on business goals, decision rights, process efficiency and software installations and configurations for data ecosystems of medium complexity.
  • Implements third party or develops new data management processes in order to analyze data quality and recommends changes to enhance performance. Requires knowledge of data management best practices and techniques.
  • Considered a specialist in two or more areas of data management including but not limited to collection, consistency, organization, control, operational alignment and has applicable certifications. Other specialties as defined by manager.
  • Prioritizes work appropriately, carrying out assignments with the appropriate level of direction and completes tasks within deadlines with occasional supervision.
  • Monitors work progress, informing team leaders, team manager and/or customers of project status, problems or obstacles and workload problems in a timely manner with occasional supervision. Provides timely and accurate status reports with no supervision. Enters work time in an appropriate and timely manner into applicable system with occasional supervision

Key Success Factors

  • Strong critical thinking and analysis skillset.
  • Experience managing data, database operations.
  • Ability to communicate effectively with business and technical stakeholders.
  • Bachelor's degree, preferably related to data management.
  • Four years of experience in data management, analysis, and operations. Healthcare industry experience preferred. Willingness to travel among BSWH facility sites, including overnight travel, as needed for training, experience and project work, expected to be 5% or less business days per year.
  • Ability to work successfully within a hybrid environment or wholly in-office environment that is consistent with BSWH policy. Number of days required for routine office work as determined by department leader and variable in office days as needed for training, experience and project work.

Preferred Qualifications

  • Advanced knowledge of MS Excel and MS Access
  • Ability to write complex SQL queries
  • Cloud technologies such as Snowflake
  • Healthcare or Supply Chain analytics experience

Minimum Qualifications

  • Bachelor's or 4 years of work experience above the minimum qualification
  • 4 Years of Experience
Vacancy posted 1 day ago
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