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Data Management Analyst Jobs in California (NOW HIRING)

The Master Data Management Analyst collaborates with Information Technology Services (ITS), Operational Managers, and external vendors to ensure consistent data management and accurate information ...

Senior Data Management Analyst Belong. Connect. Grow. with KBR! KBR is seeking a Senior Data Management Analyst, specializing in Power BI, Power Apps, Power Automate and JIRA/Confluence to join our ...

Manage and analyze spend data across multiple categories to identify trends and opportunities * Ensure accurate spend classification and data integrity to enable portfolio-level decision making

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Data Management Analyst information

See California salary details

$22.2K

$87.5K

$142.1K

How much do data management analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data management analyst in California is $87,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $107,100.00 per year, depending on experience, location, and employer.

What does a data management analyst do?

A data management analyst is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They develop data standards, implement data quality controls, and often use tools like SQL, Excel, or data management software to support decision-making and operational efficiency.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data management analyst involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data governance, critical thinking, and domain knowledge.

What are the key skills and qualifications needed to thrive as a Data Management Analyst, and why are they important?

To thrive as a Data Management Analyst, you need strong analytical abilities, attention to detail, and a solid understanding of data structures, often supported by a degree in information systems, computer science, or a related field. Familiarity with database management systems (like SQL), data visualization tools (such as Tableau or Power BI), and data governance frameworks is typically required, along with relevant certifications. Excellent problem-solving skills, effective communication, and the ability to collaborate across departments distinguish top performers in this role. These skills are crucial to ensure data integrity, drive informed business decisions, and maintain compliance with organizational and regulatory standards.

Is 40 too late for data science?

A Data Management Analyst role involves organizing and maintaining data systems, and transitioning into data science at age 40 is feasible with relevant skills such as programming, statistics, and data visualization. Many professionals successfully switch careers or upskill later in life through online courses, certifications, and practical experience.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but experienced data analysts with skills in SQL, Excel, and data visualization tools often earn higher wages, especially in tech and finance sectors.

What are Data Management Analysts?

Data Management Analysts are professionals responsible for collecting, processing, and maintaining data to ensure its accuracy, integrity, and accessibility within an organization. They analyze data workflows, create and enforce data management policies, and often work with databases and data visualization tools. Their work ensures that high-quality data is available for business analysis, reporting, and decision-making. Data Management Analysts also help ensure compliance with data governance standards and may collaborate with IT and business teams to optimize data systems.

How does a Data Management Analyst typically collaborate with other departments within an organization?

Data Management Analysts frequently work cross-functionally, collaborating with departments such as IT, business intelligence, and operations to ensure data integrity and accessibility. They often serve as a bridge between technical teams, who manage the databases, and business users, who rely on accurate data for decision-making. Effective communication and problem-solving skills are essential, as analysts may need to translate business needs into data solutions or clarify data issues to non-technical stakeholders.

What is the difference between Data Management Analyst vs Data Analyst?

AspectData Management AnalystData Analyst
Primary FocusManaging, organizing, and ensuring data quality and integrityAnalyzing data to identify trends and generate insights
Skills & CertificationsDatabase skills, data governance, SQL, certifications like CDMPStatistical analysis, Excel, visualization tools, certifications like CAP
Work EnvironmentData warehouses, databases, IT teamsBusiness units, reporting teams, analytics departments

While both roles work with data, the Data Management Analyst focuses on maintaining data quality and structure, whereas the Data Analyst emphasizes analyzing data to support decision-making. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

What Does a Data Management Analyst Do?

As a data management analyst, you perform a variety of duties related to computer systems security and database management. You monitor databases and other digital storage systems for security breaches, technical issues, and provide routine maintenance on the systems. Depending on your level, you may also work with other developers to design new databases and security tests. A career as a data management analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in computer science or information technology. You should have a thorough familiarity with database languages such as SQL, and analytical problem-solving skills.

What are popular job titles related to Data Management Analyst jobs in California? For Data Management Analyst jobs in California, the most frequently searched job titles are:
What are popular job titles related to Data Management Analyst jobs in CA? For Data Management Analyst jobs in CA, the most frequently searched job titles are:
Infographic showing various Data Management Analyst job openings in California as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $87,503 per year, or $42.1 per hour.
Master Data Management Analyst

Master Data Management Analyst

Aquent

Palo Alto, CA • On-site

$68 - $74/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

Placement Type:
Temporary
Salary:
$68-74 Hourly
Start Date:
Jul 13, 2026
A major medical client of Aquent is seeking a Master Data Management Analyst to support Supply Chain Logistics & Sourcing through a comprehensive understanding of Master Data Management, Logistics, and Sourcing operational and business needs. This position requires a thorough understanding of MDM concepts, industry data standards, and healthcare supply chain operations. The Master Data Management Analyst collaborates with Information Technology Services (ITS), Operational Managers, and external vendors to ensure consistent data management and accurate information flow to support core enterprise functions, including Supply Chain Automation, inventory management, vendor and recall management, and Non-Labor Spend Savings initiatives. This individual will work under the direction of the Supply Chain Data Manager.
What You Will Do
Data Maintenance & Integrity
  • Function as the primary point of contact for the day-to-day execution of MDM tasks, answering inquiries, resolving data discrepancies, and providing analysis.
  • Perform master data additions, changes, and deletions in strict accordance with standard procedures and governance business rules.
  • Filter, cleanse, and audit data, reviewing data performance indicators to locate and correct process gaps or systemic errors.
  • Conduct quality control activities, monitor key performance indicators (KPIs) for data accuracy, and recommend improvements to data integrity policies, tools, and metrics.
  • Ensure all requests for master data maintenance are properly authorized and approved by designated Data Owners.

Sourcing, Pricing, & Vendor Support
  • Maintain accurate, up-to-date price file management in accordance with active vendor contracts.
  • Perform proactive and ad hoc price performance benchmarking and analysis.
  • Design and maintain an organized system for Pricing Agreements to ensure absolute price accuracy across item files and Purchase Orders (POs), partnering with Accounts Payable to validate vendor file accuracy.
  • Support vendor and medical recall management by ensuring strict data adherence to industry and regulatory standards.
  • Support non-labor expense reduction initiatives through comprehensive Item Master and PAR (periodic automatic replenishment) data management.

Systems Liaison & Reporting
  • Serve as a liaison between business managers and ITS to improve productivity, resolve system issues, implement functionality changes, and deliver enhanced data quality.
  • Evaluate business application functionality to identify operational gaps and measure the impact of technical solutions on clinical supply chain operations.
  • Assist in developing, maintaining, and running scheduled or ad hoc operational reports, collecting user feedback to design future reporting specifications.
  • Educate and onboard system users regarding master data processes and established business rules.
Qualifications & Requirements
Education
  • Bachelor's degree in Information Systems, Business Administration, or a related field from an accredited college or university is required.

Experience
  • Four (4) years of progressively responsible and directly related data management experience, preferably within a hospital or healthcare clinical environment.
  • Demonstrated proficiency and hands-on experience utilizing enterprise-level ERP Supply Chain applications (such as Workday or Infor Lawson).
  • Proven ability to cleanse, analyze, manipulate, and connect large datasets from multiple disparate sources.
  • Solid understanding of Master Data Management principles and governance practices in an enterprise environment.

Required Knowledge, Skills, and Abilities
  • Analytical Skills: Strong knowledge of automated materials management functions, financial reporting, and statistical activity data.
  • Contractual Knowledge: Ability to understand, draft, and analyze Contractual Agreements and Pricing Agreements.
  • Communication & Collaboration: Exceptional oral and written communication skills; ability to work effectively as both an individual contributor and a team leader.
  • Relationship Management: Proven capacity to manage complex, professional relationships with critical external vendor partners and internal stakeholders.
  • Customer Service: Ability to remain sensitive to the needs of clinical and operational customers through quality service principles.
  • Change Management: Knowledge of project management processes and the ability to help plan and implement workflow changes.
  • Certifications: None required.

The target hiring compensation range for this role is $68 to $74 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium . More information on our awesome benefits !
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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