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Big Data Analyst Jobs (NOW HIRING)

Big Data Modeler/Analyst

Dahlgren, VA · On-site

$55.75 - $72.50/hr

Big Data Model/Analyst Responsibilities Include: * Perform Big Data analysis and modeling with some coding aptitude. * Support Naval projects/programs by conducting Big Data modeling within the ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

Big Data Modeler/Analyst

Dahlgren, VA · On-site

$55.75 - $72.50/hr

Big Data Model/Analyst Responsibilities Include: * Perform Big Data analysis and modeling with some coding aptitude. * Support Naval projects/programs by conducting Big Data modeling within the ...

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

W2 contract We are seeking Big Data Engineer to join our Enterprise Data & Analytics team. In this role, you will design and implement cutting-edge data solutions to transform how we manage, process ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

Strong experience in Big Data, NoSQL Databases. * Strong Experience in Mongo DB, Storm, HDFS, Hive ... Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ...

Big Data Architect

Fort Myers, FL

$59.50 - $76.50/hr

... Big data analytics technologies Played pivotal roles as an engineer and architect across domains ... MySQL or Oracle), Analytics platforms (e.g. Pentaho, BO or similar) and OLAP technologies Solid ...

Big Data Architect

Bethesda, MD

$68.25 - $87.75/hr

Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data * Ability to frame architectural decisions, provide technology leadership & direction * Excellent problem ...

NJ · On-site

This role will be responsible for design and implementation of big data analysis application to support Client's device technology. Data integration from various data sources. Build web service API ...

Showing results 41-60

Big Data Analyst information

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$34K

$82.6K

$136K

How much do big data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for big data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a big data analyst typically collaborate with data engineers and business stakeholders on projects?

A Big Data Analyst often works closely with data engineers to ensure data pipelines are properly structured and that the necessary data is accessible and clean for analysis. Collaboration with business stakeholders is also key, as analysts translate business goals into analytical questions and present insights in a way that supports decision-making. Frequent communication and iterative feedback cycles are common, with analysts acting as a bridge between technical teams and business units to ensure data-driven solutions align with organizational objectives.

What are the key skills and qualifications needed to thrive as a big data analyst, and why are they important?

To thrive as a Big Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools like Hadoop, Spark, SQL, and certifications in data analytics platforms are highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and share findings with stakeholders. These skills ensure accurate data-driven decision-making and enable organizations to extract meaningful value from large and complex data sets.

What is the difference between Big Data Analyst vs Data Scientist?

AspectBig Data AnalystData Scientist
CredentialsBachelor's in Data Analysis, Statistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentData analysis teams, business units, IT departmentsResearch teams, data science departments, R&D divisions
Employer & IndustryTech, finance, healthcare, retailTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Big Data Analysts focus on processing and analyzing large datasets to extract actionable insights, often using tools like SQL and Hadoop. Data Scientists build predictive models and develop algorithms, requiring advanced statistical and programming skills. While both roles work with big data, Data Scientists typically engage in more complex modeling and research tasks, whereas Big Data Analysts concentrate on data interpretation for business decisions.

How much does a Big Data Analyst make?

The average salary for a Big Data Analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Hadoop, Spark, and data visualization tools tend to earn higher salaries, especially with certifications and advanced expertise.

What does a Big Data Analyst do?

A Big Data Analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like SQL, Hadoop, or Spark and often require strong analytical skills and knowledge of data visualization. Their work helps organizations optimize operations and develop data-driven strategies.
More about Big Data Analyst jobs

What cities are hiring for Big Data Analyst jobs?

Cities with the most Big Data Analyst job openings:

What are the most commonly searched types of Big Data Analyst jobs?

The most popular types of Big Data Analyst jobs are:

Who are the top companies hiring for Big Data Analyst jobs?

The top employers for Big Data Analyst jobs are:

What states have the most Big Data Analyst jobs?

States with the most job openings for Big Data Analyst jobs include:

Infographic showing various Big Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Big Data Infrastructure Administrator

Right Talent Right Now

Concord, NH

Full-time

Re-posted 22 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.