Mainframe Data Analyst Job Description [Updated for 2025]

In this rapidly evolving technological era, the significance of Mainframe Data Analysts has never been greater.

As technology evolves at an unprecedented pace, the demand for skilled individuals who can navigate, enhance, and protect our mainframe data systems is escalating.

So, what exactly does a Mainframe Data Analyst do?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager formulating the perfect candidate profile,
• Or simply curious about the complex world of mainframe data analysis,

You’ve come to the right place.

Today, we present a customizable Mainframe Data Analyst job description template, designed for effortless posting on job boards or career sites.

Let’s dive right in.

Mainframe Data Analyst Duties and Responsibilities

Mainframe Data Analysts play a crucial role in managing, analyzing, and interpreting data using mainframe systems.

They are responsible for ensuring data integrity, conducting analyses to support business decisions, and maintaining the mainframe system.

Mainframe Data Analysts are primarily responsible for the following duties and responsibilities:

• Analyze and interpret complex data sets, drawing conclusions and making recommendations based on findings
• Design, implement, and maintain mainframe systems to meet the company’s data management needs
• Ensure the security and integrity of data by implementing robust data governance practices
• Collaborate with various departments to define data requirements and develop solutions
• Monitor the performance of mainframe systems and make necessary adjustments to optimize efficiency
• Develop and maintain documentation on mainframe processes, system configurations, and data structures
• Conduct troubleshooting and resolution for mainframe-related issues
• Perform regular audits to ensure data accuracy and quality
• Keep up-to-date with the latest technologies and updates related to mainframe systems

 

Mainframe Data Analyst Job Description Template

Job Brief

We are seeking a skilled Mainframe Data Analyst to join our team.

In this role, you will be responsible for analyzing and managing mainframe data, developing and implementing data models, and improving system performance.

You should be experienced in COBOL, DB2, and other mainframe technologies.

Our ideal candidate has a strong understanding of data structures, data modeling and software architecture.

The goal is to ensure our data is stored effectively, efficiently and securely while optimizing data flow and collection procedures.

 

Responsibilities

• Analyze and interpret complex data, finding patterns, anomalies, and trends.
• Develop and implement data models, database designs, data access, and table maintenance codes.
• Resolve mainframe-related issues and optimize system performance.
• Perform data backups and ensure data integrity across multiple databases.
• Create complex functions, scripts, stored procedures, and triggers to support application development.
• Participate in data migration projects.
• Collaborate with team members to establish best practices and data governance.
• Document database designs and data standards.

 

Qualifications

• Proven work experience as a Mainframe Data Analyst or similar role.
• Experience with mainframe technologies, such as COBOL, DB2, JCL, VSAM and CICS.
• Strong knowledge of database structure systems and data mining.
• Excellent analytical and problem-solving skills.
• Experience with SQL and other data manipulation languages.
• Familiarity with data visualization tools.
• Proficiency in data modeling tools.
• BSc degree in Computer Science, Information Technology, or relevant field.

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Mainframe Data Analyst
• Work Environment: Office setting with options for remote work. Occasional travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Data Manager or IT Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $90,000 minimum to $130,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Mainframe Data Analyst Do?

Mainframe Data Analysts are specialized IT professionals who work on large scale data processing systems, known as mainframes.

They usually work for large organizations across various industries that require heavy data processing.

Their primary role is to analyze, interpret, and manage data on mainframe systems.

They create complex queries within the mainframe environment to extract meaningful information from the data.

These queries are often used to help their organizations make informed decisions or to meet regulatory requirements.

Mainframe Data Analysts often work with other IT professionals to ensure the integrity and security of the data stored in the mainframe.

They may also be responsible for migrating data to or from the mainframe, ensuring the successful transfer and integrity of the data.

They regularly perform system checks, troubleshoot issues, and propose solutions to improve the efficiency and performance of the mainframe system.

Mainframe Data Analysts also need to keep themselves updated with the latest technology trends and advancements in the field of mainframe systems, and they often participate in the implementation of these advancements in their organization’s mainframe systems.

 

Mainframe Data Analyst Qualifications and Skills

Mainframe Data Analysts need a unique set of technical skills, analytical abilities and business understanding, such as:

• Strong technical knowledge of mainframe systems and data structures to effectively analyze and interpret data.
• Proficiency in mainframe languages such as COBOL, JCL, and SQL for data extraction and analysis.
• Excellent analytical abilities to interpret complex data and transform it into understandable and actionable insights.
• Understanding of databases, data modeling, and ETL (Extract, Transform, Load) processes.
• Strong problem-solving skills to troubleshoot and resolve data-related issues.
• Ability to work collaboratively with other IT professionals, including data scientists, software engineers, and database administrators.
• Exceptional communication skills to clearly present data findings to both technical and non-technical team members.
• Detail-oriented nature to ensure the accuracy of data analysis and reports.
• Knowledge of data privacy regulations to ensure that data management practices are in compliance.

 

Mainframe Data Analyst Experience Requirements

Entry-level Mainframe Data Analyst candidates should have at least 1 to 2 years of experience, often gained through internships, part-time roles or academic projects involving data analysis on mainframes.

They may have also gained relevant experience through roles like Data Scientist, Junior Data Analyst, or IT support roles, ideally within a mainframe environment.

Understanding of mainframe languages like COBOL, JCL, or DB2 is usually expected, along with basic database management and data analysis skills.

Candidates with more than 3 years of experience as a Mainframe Data Analyst are typically expected to have developed their technical skills and knowledge significantly, with a deeper understanding of mainframe systems and data analysis tools.

They should be capable of handling more complex tasks such as managing large data sets, debugging complex programs, and optimizing mainframe performance.

Proficiency in SQL, ETL tools, data modeling, and data warehousing is often required, along with experience in specific sectors like finance, insurance, or healthcare, depending on the job role.

Mainframe Data Analysts with more than 5 years of experience usually have some leadership experience and are ready for roles such as Team Lead or Senior Mainframe Data Analyst.

They should be able to guide and mentor less experienced team members, manage projects, and liaise with other departments for data-related requirements.

Strong communication skills, along with the ability to translate complex data insights into understandable terms for non-technical stakeholders, are often necessary at this stage.

 

Mainframe Data Analyst Education and Training Requirements

Mainframe Data Analysts usually have a bachelor’s degree in computer science, information technology, data analysis or another related field.

They also need a solid background in mainframe programming languages such as COBOL, PL1, DB2, JCL, and others.

Practical experience with mainframe systems, as well as knowledge in data modeling, data mining, and SQL, is highly desirable.

Some positions may require Mainframe Data Analysts with a master’s degree in computer science or data analysis, particularly for roles involving complex data structures and large databases.

Certification in mainframe or data analysis technologies, like IBM Certified Database Administrator or Certified Systems Programmer, can enhance a candidate’s qualifications.

Having a master’s degree and/or certification may not only demonstrate a candidate’s technical expertise but also their commitment to continuous learning and career advancement.

Hands-on experience in data analysis, either through internships or entry-level positions, can also be beneficial for these professionals.

 

Mainframe Data Analyst Salary Expectations

A Mainframe Data Analyst earns an average salary of $73,927 (USD) per year.

The actual compensation can vary depending on factors such as industry experience, educational qualifications, and the geographic location of the job.

 

Mainframe Data Analyst Job Description FAQs

What skills does a Mainframe Data Analyst need?

Mainframe Data Analysts need a solid understanding of mainframe systems and the ability to use a wide range of data analysis tools and software.

They should possess strong analytical skills to interpret complex data and turn it into easy-to-understand reports.

Proficiency in SQL, COBOL, or other programming languages used in mainframe environments is essential.

They also need good communication skills to present their findings to management or other team members.

 

Do Mainframe Data Analysts need a degree?

Mainframe Data Analysts typically require a bachelor’s degree in Computer Science, Information Systems, or a related field.

Some employers might prefer candidates with a master’s degree or relevant certifications.

On-the-job experience with mainframe systems is often highly valued.

 

What should you look for in a Mainframe Data Analyst resume?

When reviewing a Mainframe Data Analyst resume, look for a solid background in data analysis and experience with mainframe systems.

They should demonstrate proficiency in relevant programming languages and data analysis tools.

The resume should also highlight any experience in data modeling, database design, and data mining.

 

What qualities make a good Mainframe Data Analyst?

A good Mainframe Data Analyst is naturally analytical and enjoys solving complex problems.

They need to be detail-oriented to spot trends or anomalies in large datasets.

They should also be self-motivated, able to work independently, and have the ability to manage multiple projects simultaneously.

Communication skills are important as they often need to explain their findings to non-technical team members.

 

Is it difficult to hire Mainframe Data Analysts?

Finding qualified Mainframe Data Analysts can be challenging due to the specific skill set required.

While there are many data analysts in the job market, finding one with a specialization in mainframe systems can be more difficult.

Offering competitive salaries, benefits, and opportunities for professional development can help attract top talent.

 

Conclusion

So there you have it.

Today, we’ve shed light on what it truly means to be a Mainframe Data Analyst.

Guess what?

It’s not solely about navigating databases.

It’s about shaping the future of data analysis, one data set at a time.

Armed with our comprehensive Mainframe Data Analyst job description template and real-world illustrations, you’re all prepared to take the next step.

But why halt your journey here?

Dig deeper with our job description generator. It’s your key to masterfully crafting job listings or polishing your resume to flawlessness.

Remember:

Every data set is a piece of a larger framework.

Let’s shape that future. Together.

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