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Fidelity Data Analyst Jobs in Texas (NOW HIRING)

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Fidelity Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do fidelity data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for fidelity data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a Fidelity Data Analyst?

A Fidelity Data Analyst is responsible for analyzing and interpreting data to support business decisions within Fidelity Investments. They work with large datasets to identify trends, generate reports, and provide insights that drive strategic initiatives. These analysts collaborate with various teams to improve operational efficiency, customer experience, and investment strategies. Strong analytical skills, proficiency in tools like SQL, Python, or Excel, and an understanding of financial data are often required for this role.

What are the typical daily responsibilities of a Fidelity Data Analyst?

As a Fidelity Data Analyst, your daily tasks often include collecting, cleaning, and interpreting financial and operational data to support business insights and decision-making. You may develop and maintain dashboards, generate reports for internal stakeholders, and collaborate closely with investment teams, IT, and business units to understand data needs or resolve data discrepancies. Additionally, you will often be involved in monitoring data quality, spotting analytical trends, and supporting larger projects such as model development or process improvement initiatives. The work environment is typically collaborative and fast-paced, offering steady opportunities to expand your analytical and technical skills.

What are the key skills and qualifications needed to thrive as a Fidelity Data Analyst?

To excel as a Fidelity Data Analyst, you typically need a strong foundation in data analysis, statistical methods, and financial concepts, usually backed by a degree in a quantitative field such as mathematics, finance, or computer science. Familiarity with tools like SQL, Python, Excel, and business intelligence platforms is important, and certifications such as CFA or data analytics credentials can add value. Outstanding attention to detail, communication skills, and the ability to work collaboratively are valuable soft skills that help you succeed. These competencies are critical for accurately analyzing data trends, supporting investment decisions, and ensuring data-driven insights for the organization.

What is the salary of data analyst in Fidelity?

The salary of a Fidelity Data Analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and specific role responsibilities. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes benefits such as bonuses and health insurance.

What are popular job titles related to Fidelity Data Analyst jobs in Texas?

For Fidelity Data Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Fidelity Data Analyst jobs in Texas look for?

The top searched job categories for Fidelity Data Analyst jobs in Texas are:

What cities in Texas are hiring for Fidelity Data Analyst jobs?

Cities in Texas with the most Fidelity Data Analyst job openings:

Fidelity Data Analyst jobs near you
Infographic showing various Fidelity Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Garland, TX • On-site

Full-time

Re-posted 21 days ago

Job description

Job Description


Big Data Infrastructure Administrator

Merrimack NH or Dallas TX 

 12 Months contract

 Great pay


 Phone and Skype Interview 

  Job Description :

This role provides an exciting opportunity to roll out a new strategic initiative within the firm-- Enterprise Infrastructure Big Data Service. The Big Data Infrastructure DevOps / Support Administrator serves as a development and support expert with responsibility for the design, development, automation, testing, support and administration of the Enterprise Infrastructure Big Data Service. This will involve building and supporting a general purpose data analytics platform utilized by Fidelity's data scientist community. The incumbent will be responsible for developing features, ongoing support and administration, and documentation for the service. The platform provides a data hub and a blueprint for integrating with existing upstream and downstream technology solutions.


This role is DevOps and support administration. The position requires a strong background in computer architecture, software development, data management systems, distributed computing, and a solid understanding of the open-source technology ecosystem. An ideal prospect will have technical expertise, customer engagement skills, excellent communication skills, and a passion for organizing and analyzing data.


Primary Responsibilities

The incumbent will have the opportunity of working directly across the firm with developers, operations staff, data scientists, architects and business constituents to develop and enhance the big data service. Key responsibilities include:

Development, support, and maintenance of the infrastructure platform and application lifecycle

Design, development and implementation of automation innovations

Development of automated testing scripts

Building and nurturing relationships with Fidelity's developer and system administration communities

Contribution to all phases of the application lifecycle - requirements, development, testing, implementation, and support.

Responding and providing guidance to customers of the Big Data platform

Defining and implementing integration points with existing technology systems

Interacting with and participating in open-source software communities

Researching and remaining current on big data technology and industry trends and innovations

Participating in a 24 x 7 hour on-call support rotation


Education and Experience

B.S. Computer Science or equivalent

Master's degree is a plus

5+ years application development or systems administration experience

5+ years of development experience in one or more of the following languages: Java, C++, Perl, Python

Experience deploying or managing open-source software

Strong experience with any Linux distribution


Experience with Kafka and Cloudera

2+ years Hadoop experience

Database administration experience a plus


Skills and Knowledge

Certification and experience working in Hadoop

Certification and working experience in a NoSQL database

Experience with Splunk/HUNK or Solr solutions and dashboards running on Big Data technologies such as Hadoop

Strong background in Linux/Unix Administration

Agile Scrum or Kanban experience

Global team experience

Experience with automation/configuration management using Chef, Puppet or an equivalent

Programming in CI/CD technologies is a plus

Knowledge designing scalable distributed systems

Awareness of both current and developing technologies

Strong desire to innovate and develop future technology

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply