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Data Management Analyst Jobs in Texas (NOW HIRING)

Koniag, Inc.

Data Management Specialist

Dallas, TX · On-site

Provide advanced support in project management and analysis within an organization * Develop project plans, tracking project progress, analyzing project data, preparing project reports, and ...

kgs

Data Management Specialist

Dallas, TX

Provide advanced support in project management and analysis within an organization * Develop project plans, tracking project progress, analyzing project data, preparing project reports, and ...

kgs

Data Management Specialist

Dallas, TX

Provide advanced support in project management and analysis within an organization * Develop project plans, tracking project progress, analyzing project data, preparing project reports, and ...

kgs

Data Management Specialist

Dallas, TX · On-site

Provide advanced support in project management and analysis within an organization * Develop project plans, tracking project progress, analyzing project data, preparing project reports, and ...

TSQ Systems Inc

Data Management Manager

Dallas, TX · On-site

Lead, mentor, and manage a team of Data Architects, Data Analysts, Business Analysts, Logical DBAs, and Project Managers * Enforce data governance policies and establish database usage guidelines and ...

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Data Management Analyst information

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$21K

$82.6K

$134.2K

How much do data management analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data management analyst in Texas is $82,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $101,100.00 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.

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Data Management Analyst jobs near you
Master Data Management Leader

Master Data Management Leader

Tiger Analytics Inc.

Dallas, TX

Full-time

Re-posted 23 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

The Master Data Management Analyst will be responsible for defining, designing and building dimensional databases to meet business needs. Assistsing in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets.

Requirements

The ideal candidate would be someone with strong experience in consulting, stakeholder management as well as extensive experience working in Analytics space.

Details follow.

  • Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion.
  • Extensive experience in CPG Domain.
  • Experience in ETL processes and advanced SQL skills
  • Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills.
  • Working knowledge of SAP MDG .
  • Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts
  • Practical experience working in an Agile Methodology.

    • Benefits

    This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

    Apply