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Hadoop Data Analyst Jobs (NOW HIRING)

360 IT Professionals

DATA ANALYST

Dallas, TX · On-site

Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms ... analysis and modeling including linear regression, segmentation, non-linear predictive (e.g ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

... exploratory data-mining analyses to reveal insight across the portfolio. * Interprets and ... Eg., Hadoop, Spark, Hive, Pig, Impala. * Working Experience in ETL Tools like DataStage ...

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

... exploratory data-mining analyses to reveal insight across the portfolio. * Interprets and ... Eg., Hadoop, Spark, Hive, Pig, Impala. * Working Experience in ETL Tools like DataStage ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Data Analyst Location: Omaha, NE (Onsite) * Senior Data Analyst responsible for leading reporting ... and Hadoop. * Strong understanding of ETL/ELT processes, data integration, and data modeling ...

Collabera

Data Analyst

Hartford, CT · On-site

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software ... code o Hadoop / Cloudera - working knowledge / familiarity o Other DB - working knowledge ...

Info Way Solutions

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... Hadoop, Teradata, Aster, Azure, Oracle, DB2) • 2 years of experience using enterprise-grade data ... analytics at a large scale enterprise Preferred : • Master's Degree in Business, Engineering ...

M3BI - A Zensar Company

Hadoop Developer

Phoenix, AZ · On-site

M3BI is a new generation IT Services Company specializing in Business Intelligence, Data Warehousing & Data Analytics. They are seeking a Hadoop Developer to provide technical expertise in Hadoop ...

M3BI

Hadoop Developer

Phoenix, AZ · On-site

Our primary focus is around data analytics, testing automation and end-to-end delivery of Data Management programs for large Financial Services and Healthcare clients. As a Hadoop developer, you will ...

ClifyX

Hadoop Architect

Charlotte, NC · On-site

The role involves architecting big data applications for the banking or financial sector, focusing on operational and analytical processes in Hadoop. Responsibilities : • Extensive experience ...

M3BI

Hadoop Developer

Phoenix, AZ · On-site

Our primary focus is around data analytics, testing automation and end-to-end delivery of Data Management programs for large Financial Services and Healthcare clients. As a Hadoop developer, you will ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

Business & Data Analyst Location : Atlanta, GA Duration : Fulltime Client : NCR Corporation Rate ... Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and text mining ...

Saxon Global

Data Scientist

Fort Mill, SC · On-site

Conceptualize, design and develop analytics models in addressing complex business problems ... Qualifications R ,SAS, Data Scientist, moduler, Hadoop, data scientist Additional Information All ...

360 IT Professionals

Data Analyst

Irving, TX

... Hadoop, Hive, Kafka, Storm, and Sqoop Usage of visualization tools, including Tableau or SAS Usage of SQL and associated languages Understanding of Star data schemas Experience: Minimum 3 -5 year ...

Super Micro Computer

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

... Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest ... Supermicro is seeking a Data Analyst to join our team. In this role, you will work closely with ...

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Hadoop Data Analyst information

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$34K

$82.6K

$136K

How much do hadoop data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for hadoop 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.

What is a Hadoop Data Analyst?

A Hadoop Data Analyst is a professional who specializes in analyzing large datasets using Hadoop, an open-source framework for distributed storage and processing of big data. They use tools like Hive, Pig, and SQL-like languages to query, process, and interpret data stored in Hadoop clusters. Their main responsibilities include data extraction, transformation, loading (ETL), and generating business insights from big data. Hadoop Data Analysts often collaborate with data engineers and business stakeholders to ensure data-driven decision making. Strong analytical skills, proficiency in Hadoop ecosystem tools, and a solid understanding of data warehousing concepts are essential for this role.

How does a Hadoop Data Analyst typically collaborate with data engineers and business stakeholders?

A Hadoop Data Analyst often works closely with data engineers to ensure that data is properly ingested, cleaned, and made available for analysis within Hadoop ecosystems. They also collaborate with business stakeholders to understand analytical requirements, translate business questions into data queries, and deliver actionable insights. Effective communication and teamwork are essential, as analysts must bridge the gap between technical teams and business units, ensuring that data-driven solutions align with organizational goals.

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

To thrive as a Hadoop Data Analyst, you need a strong background in data analysis, SQL, and big data concepts, often supported by a degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like Hive, Pig, HDFS, and experience with data visualization platforms and relevant certifications are highly valued. Analytical thinking, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills ensure accurate data processing, insightful reporting, and effective support for business decision-making in data-driven environments.

What is the difference between Hadoop Data Analyst vs Data Engineer?

AspectHadoop Data AnalystData Engineer
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like Cloudera or HortonworksBachelor's or Master's in Computer Science, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentData analysis teams, business units, using Hadoop ecosystem tools for data querying and reportingData infrastructure teams, software development, building and maintaining data pipelines
Employer & Industry UsageTech companies, finance, healthcare, retail; roles focused on data analysis and reportingSame industries; roles focused on data architecture, pipeline development, and system optimization

While both roles work within the Hadoop ecosystem, a Hadoop Data Analyst primarily focuses on analyzing and interpreting data using Hadoop tools, whereas a Data Engineer builds and maintains the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job focus within big data environments.

Is it still worth it to become a Hadoop data analyst in 2026?

Hadoop Data Analysts remain valuable as organizations continue to process large datasets using Hadoop ecosystems, especially when combined with skills in SQL, data modeling, and knowledge of tools like Spark and Hive. However, the industry is shifting toward cloud-based big data platforms and newer technologies, so staying updated with related skills enhances long-term employability.
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Hadoop Data Analyst jobs near you
Infographic showing various Hadoop Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Business Data Analyst, Data Modeling /Mapping, SQL, BigData/Hadoop, Financial 12+ Mths Con NYC

New York, NY • On-site

ZnA Inc
See more jobs at ZnA Incexternal

Contractor

Re-posted 20 days ago

Job description

Business Data Analyst, Data Modeling /Mapping, SQL, BigData/Hadoop, Financial 12+ Mths Con NYC
 
JPC - 3500
 
Experience Level : Level 3 ( 7 to 12 yrs of exp)
 
Description:
 
Business Data Analyst, Requirement Specs, Data Modeling, Data Mapping, Big Data/Hadoop, Financial  12+ Mths Cont NYC
 
Job Description Department: NON-FINANCIAL RISK TECHNOLOGY
 
Job Location: NEW YORK ( Hybrid - 3 to 4 days a week onsite) 
 
Interview Type : Inperson 
 
Duration : 12+ Months Cont 
About Us
The Financial Crimes Technology department (FCT) is part of the NFRT (NON-FINANCIAL RISK TECHNOLOGY ) organization that among other things is responsible for the support of the Firm's Anti Money Laundering (AML), Enterprise Client Risk Ranking (ECRR), Single Client View (SCV), Office of Foreign Asset Control (OFAC) Sanction Screening programs, Negative News Screening programs and Risk Assessments. The AML, Sanctions Screening & NNS programs are supported by an application suite that enables surveillance of firm and client activity, customer identification, as well as ensuring the Firm's compliance with various regulatory requirements. The position is on a new department initiative.
Responsibilities:
- Collaborate with stakeholders to understand business needs and translate them into detailed technical specifications
- Conduct analysis of business requirements and processes for data centric projects
- Responsible for gathering and writing data requirements.
- Translate business requirements into data mapping specifications
- Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration used in the business domain
- Troubleshoot data issues and work with data providers for resolution
- Work with Data Engineers who will implement technical solutions to meet business requirements
- Support developers with data subject expertise
- Support phases of project development, from analysis and design to testing and implementation
- Ensure that technology solutions meet the defined requirements.
- Understanding of data quality and data governance
- Provide ongoing support and training to business users on the new or revised systems.
Required Skills:
- Strong knowledge of relational databases and data modeling
- Strong SQL query skills
- Experience with SDLC
- Strong analytical, profiling and troubleshooting skills
- Strong knowledge with Big Data/Hadoop platform
- Strong business analysis and requirements definition skills
- Strong stakeholder presentation skills
- Solid organization and planning skills
- At least 7 years' financial industry technology experience and knowledge of financial services data
- Good verbal and written communication skills
Desired Skills (Not required):
- Experience with data visualization software (e.g., Tableau, Power BI)
- Experience with Agile project delivery
- Experience with programming languages (e.g., Python)
Client is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.