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Data Support Analyst Jobs (NOW HIRING)

This role focuses on validating auction data for onboarded properties through detailed comparison analysis, with an emphasis on accuracy across closing, title, and contractual documentation. This ...

Within the first 90 days, complete Support's technical and functional onboarding program and ... Investigate application code, logs, and data flows; reproduce issues where possible; apply ...

Support Analyst

San Francisco, CA · On-site

$28.13 - $50/hr

We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what ... The Support Analyst will provide ongoing product support, troubleshooting, and pragmatic solutions ...

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Data Support Analyst information

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How much do data support analyst jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data support analyst in the United States is $37.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $44.71 per hour, depending on experience, location, and employer.

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

To thrive as a Data Support Analyst, you need strong analytical skills, attention to detail, and a background in data management, often supported by a degree in information technology, computer science, or a related field. Familiarity with database systems (like SQL), data visualization tools (such as Tableau or Power BI), and ticketing systems is typically required. Excellent problem-solving abilities, communication skills, and customer service orientation help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, resolving user issues efficiently, and supporting data-driven decision-making within organizations.

Is 40 too late for data science?

A Data Support Analyst role involves working with data to support decision-making, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, and age is generally not a barrier if you develop the necessary technical expertise and experience.

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

AspectData Support AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Certified Data Analyst or Tableau
Work EnvironmentSupport teams, IT departments, data management systemsData-driven departments, business intelligence teams, analytics departments
Employer & Industry UsageIT firms, finance, healthcare, retailMarketing, finance, consulting, research

The Data Support Analyst primarily focuses on maintaining data systems, troubleshooting issues, and supporting data infrastructure. In contrast, the Data Analyst interprets data, creates reports, and provides insights for decision-making. While both roles require technical skills and data knowledge, their core responsibilities differ, with the Data Support Analyst emphasizing system support and the Data Analyst emphasizing data analysis and reporting.

Is a data analyst a high paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but experienced analysts with skills in tools like Excel, SQL, and data visualization can earn higher wages, making it a well-compensated role in the data field.

What is a data support analyst?

A data support analyst is a professional who assists with managing, analyzing, and troubleshooting data systems and databases. They often work with data tools like SQL, Excel, and data visualization software to ensure data accuracy and support decision-making processes.

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

Data Support Analysts frequently work with teams such as IT, business operations, and data engineering to troubleshoot data issues, clarify requirements, and ensure data accuracy. They often act as a bridge between technical staff and business users, translating data needs and troubleshooting requests. Effective communication and collaboration are essential, as you may be called upon to participate in cross-functional meetings, assist in data integration projects, and support end-users in understanding data reports or dashboards.

What jobs in the US pay 300,000 a year?

For a Data Support Analyst, earning $300,000 annually is uncommon, as this role typically has a median salary below that threshold. High-paying roles in data and technology, such as data scientists, data engineers, or senior analytics managers, are more likely to reach or exceed this level with extensive experience, advanced skills, and relevant certifications. These positions often require specialized expertise, leadership responsibilities, and sometimes work in high-demand industries or companies.
More about Data Support Analyst jobs
What cities are hiring for Data Support Analyst jobs? Cities with the most Data Support Analyst job openings:
What states have the most Data Support Analyst jobs? States with the most job openings for Data Support Analyst jobs include:
What are popular job titles related to Data Support Analyst jobs? For Data Support Analyst jobs, the most frequently searched job titles are:
Infographic showing various Data Support Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Temporary. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $77,155 per year, or $37.1 per hour.

Senior Systems Services and Support Analyst

Fidelity Investments

Westlake, TX • On-site

Full-time

Posted 24 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position

Senior Systems Services and Support Analyst

The Role

The Senior Systems Services and Support Analyst is part of the Mainframe Security team, a group responsible for safeguarding Fidelity’s core transaction-processing platforms. These systems support essential business processes across the enterprise, so maintaining their security, stability, and performance is critical to our ability to serve customers and business partners.

This role directly supports the day-to-day and long-term security needs of the mainframe environment, ensuring that identity controls, system configurations, access provisioning, and monitoring functions remain accurate, compliant, and highly reliable.

The Expertise and Skills You Bring

  • Minimum of 3 years of Top Secret Administration experience

  • College Degree in Computer Science or another IT related field Preferred

  • Coding/Scripting experience with JCL, Python, REXX, Unix Shell, SQL, and PHP

  • Knowledge of Information Security Principles Preferred

  • Experience in DevOps

  • Knowledge of z/OS including security management with CA Top Secret

  • Familiarity with CA Compliance Manager, CA Cleanup and CA Compliance Information Analysis products

  • Self-starter with ability to work as part of a team as well as independently.

  • Experience with IT troubleshooting skills

  • Understand ITSM processes.

  • In-depth understanding of mainframe system and the inter working components.

  • Experience with cross platform technical skills (MVS, Cloud)

  • Strong customer service skills, with the ability to work with development teams and individual users.

  • Working as part of a rotational, on-call 24x7 team

  • Forward thinking, continuous improvement mindset

  • Provide reporting and data analysis to support the enterprise ITSM function.

  • Develop and implement dashboards and data solutions to provide information across enterprise.

  • Develop processes and standards and maintain KPI and process alignment.

  • Define and continuously improve the audit process; monitor and review the execution of periodic audits.

  • Train junior level staffing

The Value You Deliver

  • Protection of Mainframe Sensitive Customer and Corporate Data

  • Support for critical Business Functions

  • Compliance with Security standards

  • Expert Access and Identity Control

  • Operational Stability and Incident Support

  • Preservation of a specialized skill in Mainframe Security

Certifications:Category:Information Technology

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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