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Data Processing Analyst Jobs (NOW HIRING)

Lineage Logistics

Data Processing Technician

Colton, CA · On-site

$19.18 - $32.40/hr

Excellent analytical skills and attention to detail * Ability to travel up to 25% * Ability to work in temperatures as low as -20 Fahrenheit/-25 Celsius in cold storage sites or up to 100 Fahrenheit ...

HF Sinclair

Data Analyst - Procurement

Dallas, TX

Process Improvement & Innovation: * Identify and lead initiatives to improve data collection, storage, and analysis. * Develop strategies to automate workflows, enhance efficiency, and support ...

HollyFrontier

Data Analyst - Procurement

Dallas, TX

Process Improvement & Innovation: * Identify and lead initiatives to improve data collection, storage, and analysis. * Develop strategies to automate workflows, enhance efficiency, and support ...

HF Sinclair

Data Analyst - Procurement

Dallas, TX

Process Improvement & Innovation: * Identify and lead initiatives to improve data collection, storage, and analysis. * Develop strategies to automate workflows, enhance efficiency, and support ...

HF Sinclair

Data Analyst - Procurement

Dallas, TX · On-site

Process Improvement & Innovation: * Identify and lead initiatives to improve data collection, storage, and analysis. * Develop strategies to automate workflows, enhance efficiency, and support ...

AECOM

Geophysical Data Processor

Denver, CO · On-site +1

Perform geophysical data processing and analysis for traditional digital geophysical mapping surveys and AGC mapping surveys * Serve as a mentor and provide technical guidance and expertise to ...

AECOM

Geophysical Data Processor

Denver, CO

Perform geophysical data processing and analysis for traditional digital geophysical mapping surveys and AGC mapping surveys * Serve as a mentor and provide technical guidance and expertise to ...

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to ...

AECOM

Geophysical Data Processor

Denver, CO

Perform geophysical data processing and analysis for traditional digital geophysical mapping surveys and AGC mapping surveys * Serve as a mentor and provide technical guidance and expertise to ...

PSEG

Sr. Payment Processing Analyst

Melville, NY · On-site

$90K - $119K/yr

Evaluate data sources and perform the appropriate analysis to identify revenue gaps and propose ... Lead manage and improve department processes with a focus on accuracy and compliance * Maintain and ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Locate and define new process improvement opportunities Requirements Data Analyst Job Requirements * Proven working experience as a data analyst or business data analyst. Class project experience may ...

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All JobsData Processing Analyst Jobs

Data Processing Analyst information

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$34K

$82.6K

$136K

How much do data processing analyst jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data processing 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 the difference between Data Processing Analyst vs Data Analyst?

AspectData Processing AnalystData Analyst
Primary FocusProcessing, cleaning, and organizing raw data for analysisInterpreting data to generate insights and reports
Skills & CertificationsSQL, data management, basic analytics toolsStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData warehouses, database systems, IT teamsBusiness units, analytics teams, reporting platforms
Industry UsageIT, finance, healthcare, logisticsMarketing, finance, consulting, research

The main difference is that Data Processing Analysts focus on preparing and managing raw data, ensuring its quality and structure, while Data Analysts interpret and analyze data to provide actionable insights. Both roles often collaborate but serve distinct functions within data workflows.

What is the role of a data process analyst?

A data processing analyst is responsible for collecting, cleaning, and analyzing data to support business decision-making. They often use tools like Excel, SQL, or data visualization software and ensure data accuracy and integrity in their work environment.

What are Data Processing Analysts?

Data Processing Analysts are professionals who manage, interpret, and analyze large sets of data to support business decision-making. They are responsible for ensuring data accuracy, cleansing raw data, and transforming it into a usable format. Typically, they work with databases, spreadsheets, and data analysis software to identify trends, generate reports, and optimize data workflows. Data Processing Analysts often collaborate with other departments to understand data needs and help solve organizational challenges.

Is 40 too late for data science?

For a Data Processing Analyst or similar data-related roles, starting a career at 40 is feasible, especially with relevant skills in data analysis, programming, and tools like SQL or Python. Many professionals transition into data roles later in life, and experience can be an asset; continuous learning and certifications can enhance job prospects regardless of age.

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

To thrive as a Data Processing Analyst, you need strong analytical abilities, attention to detail, and a solid background in mathematics or computer science, often supported by a relevant degree. Familiarity with data management tools, SQL databases, data visualization software, and potentially certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Excellent problem-solving skills, effective communication, and adaptability make individuals stand out in this role. These skills and qualities are essential for ensuring accurate data analysis, efficient processing, and meaningful insights that support business decisions.

What is a data processing analyst?

A data processing analyst is a professional who collects, organizes, and analyzes data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and require strong analytical skills and attention to detail. The role may involve working with large datasets and ensuring data accuracy and integrity.

What are some common challenges faced by Data Processing Analysts, and how can they overcome them?

Data Processing Analysts often encounter challenges such as managing large volumes of complex data, maintaining data accuracy, and ensuring timely processing to meet project deadlines. To overcome these obstacles, they rely on strong analytical skills, attention to detail, and proficiency with data management tools and programming languages. Collaboration with cross-functional teams, like IT and business analysts, is also key to resolving data inconsistencies and optimizing workflows. Continuous learning and staying updated with the latest data processing technologies further help analysts adapt to evolving industry demands.

Is AI replacing data analysts?

AI is automating certain data processing tasks, but data analysts remain essential for interpreting complex data, making strategic decisions, and providing context. The role of a data processing analyst involves skills in data management, analysis tools, and critical thinking that AI currently complements rather than replaces.
More about Data Processing Analyst jobs
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Data Processing Analyst jobs near you

Principal Data Processing Engineer

Datapelago

Mountain View, CA

Full-time

Posted 23 days ago

Job description

Principal Data Processing Engineer
Mountain View, CA


About DataPelago:

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for world-class engineers to join our team and shape the future of accelerated data processing.


The Role:

As a Principal Data Processing Engineer, you will be a key technical leader in the development of the core execution components of our data processing engine. You will lead architecture, design, and implementation that will enhance the functional breadth, performance, scale, and reliability of the engine to deliver a product that will redefine how users extract intelligence from their data. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.


What You'll Do:

  • Drive the evolution of our parallel and distributed execution engine architecture, with a strong focus on leveraging accelerated computing technologies.
  • End-to-End Ownership: Lead the execution engine team in the complete lifecycle of design,
    implementation, and rollout of an enterprise-grade product.
  • Individually design, implement, test, and maintain critical components of the data processing execution engine.
  • Innovation and Differentiation: Analyze technology advances from industry and academia to identify opportunities for the engine to enhance technology and product leadership.
  • Collaboration: Partner effectively with engineering, product management,
    and customer success teams.
  • Guide and mentor engineers on the execution engine team.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.


What You'll Bring:

  • BS/MS in Computer Science (or a related field) with 10+ years of relevant experience
  • 7+ years of deep technical experience in developing core components of enterprise-grade database or analytics execution engines designed for large-scale data processing.
  • Proven expertise in developing high-performance parallel implementations of data processing operators and functions on rich data types.
  • Significant experience developing for platforms such as Apache Spark, Apache Flink, Apache Doris, Apache Gluten, Velox, Apache DataFusion/Comet preferred.
  • Previous experience working as technical lead/architect with teams of 10+ engineers in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Proficiency in C, C++, and Rust programming.
  • Extensive development experience in Linux environments.
  • Strong analytical and problem-solving skills with a passion for performance optimization.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.


Why Join DataPelago?

  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing platforms
  • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated
    computing and data processing.
  • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities

Apply