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Technical Data Analyst Jobs (NOW HIRING)

Curinos Inc

Data Analyst, Technical Success

Manhattan, NY · On-site

$70K - $75K/yr

Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

Our team utilizes technical data analysis skills in conjunction with deep financial and private capital markets industry knowledge to deliver the most accurate and digestible information to our ...

Recruit Marks

Data Analyst

Scottsdale, AZ

$80K - $125K/yr

The Data Analyst role is critical in converting complex business, customer, and technical data into actionable insights. These insights enhance operational efficiency, inform strategic decision ...

Station Casinos

Technical Data Steward

Las Vegas, NV · On-site

The Technical Data Steward role models the core values of our culture including: Kind, Forward ... Gather, analyze, and document business requirements for data-related projects and initiatives.

PitchBook Data

Data Analyst

New York, NY · On-site

Our team utilizes technical data analysis skills in conjunction with deep financial and private capital markets industry knowledge to deliver the most accurate and digestible information to our ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical ...

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How much do technical data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for technical data analyst in the United States is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $58.89 per hour, depending on experience, location, and employer.

What is a Technical Data Analyst?

A Technical Data Analyst is a professional who collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use advanced technical skills, such as programming, database management, and data visualization, to identify trends, patterns, and insights. Technical Data Analysts often work closely with IT departments and business stakeholders to translate data into actionable strategies. Their role typically involves writing queries, creating reports, and sometimes developing automated tools to streamline data analysis. This position requires strong analytical thinking, attention to detail, and proficiency with data analysis tools and programming languages.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on tasks that require critical thinking, domain expertise, and communication skills.

What does a technical data analyst do?

A technical data analyst collects, processes, and analyzes large datasets to identify trends and support decision-making. They often use tools like SQL, Python, or Excel and have strong analytical and technical skills to interpret complex data and create reports or visualizations.

Is 40 too late for data science?

For a Technical Data Analyst, starting a career at 40 is feasible, especially with relevant skills in data analysis tools like SQL, Python, or R. Many professionals transition into data roles later in life, and experience combined with continuous learning can lead to success in the field.

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

To thrive as a Technical Data Analyst, you need strong analytical skills, proficiency in mathematics or statistics, and a relevant degree such as computer science, statistics, or information systems. Familiarity with data analytics tools like SQL, Python, R, Excel, and visualization platforms such as Tableau or Power BI is typically required, along with knowledge of database systems. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and presenting insights to stakeholders. These skills are vital for transforming raw data into actionable business intelligence, enabling organizations to make informed, data-driven decisions.

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

AspectTechnical Data AnalystData Analyst
Required SkillsAdvanced SQL, programming (Python, R), data modelingExcel, basic SQL, data visualization
Work EnvironmentTechnical teams, IT departments, data engineeringBusiness units, marketing, finance
CertificationsSQL, Python, data analysis certificationsExcel, Tableau, general data analysis certifications

The Technical Data Analyst typically works with more complex data systems, programming, and technical tools, often collaborating with IT and engineering teams. In contrast, the Data Analyst focuses on interpreting data for business insights using more accessible tools like Excel and visualization software. Both roles are essential in data-driven organizations but differ in technical depth and focus.

What jobs pay 200,000 a year in the USA?

For a Technical Data Analyst, reaching a $200,000 annual salary typically requires extensive experience, advanced skills in data management and analytics tools, and often a senior or specialized role. High-paying positions may also involve leadership responsibilities, working in industries like finance, technology, or consulting, and may require certifications such as CFA or PMP. Salary levels vary based on location, company size, and individual expertise.

What are some of the main challenges Technical Data Analysts face when working with large datasets, and how are these typically addressed within a team environment?

Technical Data Analysts often encounter challenges such as data quality issues, integrating data from multiple sources, and managing large volumes of information efficiently. To address these, teams typically use standardized data cleaning processes, leverage advanced tools for data integration, and adopt scalable storage solutions. Collaboration with IT, data engineers, and business stakeholders is crucial to ensure data accuracy, resolve discrepancies, and align analytical outputs with organizational goals.
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Technical Data Analyst jobs near you
Infographic showing various Technical Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $108,362 per year, or $52.1 per hour.
GD164 Technical Data Curator

GD164 Technical Data Curator

ADNET Systems, Inc.

Greenbelt, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

GD 164 Technical Data Curator
ADNET Systems, Inc. is seeking a motivated and technically skilled Technical Data Curator to support the GES DISC team at NASA Goddard Space Flight Center. In this role, you will bridge the gap between raw Earth science data and the scientists and users who depend on it. You will work hands-on with large-scale atmospheric, precipitation, and climate datasets - ensuring they are well-documented, properly formatted, quality-checked, and accessible in modern cloud environments.
A key aspect of this role is serving as a technical liaison between data providers - such as instrument teams, mission science teams, and field campaign investigators - and the GES DISC archive. You will translate scientific data deliveries into well-curated, standards-compliant, archive-ready products that serve a broad user community.
The ideal candidate has experience both producing and consuming Earth science data - someone who understands the pain points of a data user firsthand and can translate that empathy into better data products and services.
Key Responsibilities:
  • Data Ingest & Management: Receive, validate, and ingest Earth science data products into the GES DISC archive; ensure data integrity and compliance with metadata standards (e.g., CF Conventions, ACDD, ISO 19115, NASA UMM).
  • Cloud Data Stewardship: Manage and optimize data holdings in cloud environments (AWS S3); support and promote cloud-native data access patterns including direct S3 access and cloud-optimized formats such as Zarr and Cloud-Optimized GeoTIFF (COG).
  • Format Expertise: Work with common Earth science data formats including HDF4, HDF5, NetCDF-4, GeoTIFF, and others; validate and transform datasets as needed to meet archive standards.
  • Scripting & Automation: Develop and maintain scripts and pipelines to automate data processing, validation, transformation, and quality assurance workflows, primarily in Python; engage with and maintain legacy code in Perl, SQL, or other languages as needed.
  • Data Provider Liaison: Serve as a primary point of contact for data providers (e.g., instrument teams, mission science teams, field campaign investigators); communicate technical requirements for data format, metadata standards, and delivery protocols; collaborate with providers to resolve data quality issues prior to and following archive ingest.
  • User Support: Serve as a technical resource for data users; troubleshoot data access issues, respond to user inquiries, and advocate for user needs in tool and system improvements.
  • Collaboration: Coordinate with data providers, GES DISC platform engineers, NASA civil servants (at GES DISC and ESDIS), and the broader DAAC community to implement best practices and ensure consistency across the data archive.
  • Emerging Standards: Stay current with evolving data standards, formats, and community practices (e.g., STAC, OGC APIs, Zarr, cloud-optimized formats).

Required Qualifications:
  • Bachelor's degree or higher in Earth Science, Atmospheric Science, Computer Science, Geography, Information Science, or a related field (or equivalent professional experience)
  • Strong Python programming skills, including experience with Earth science libraries such as xarray, netCDF4, h5py, numpy, pandas, or similar
  • Demonstrated hands-on experience working with gridded (Level 3) and swath (Level 2) data in HDF4/5 and/or NetCDF formats
  • Familiarity with cloud computing platforms (AWS preferred) and cloud storage concepts (e.g., object storage, cloud-optimized data access)
  • Strong interpersonal and communication skills, with demonstrated ability to work effectively with external stakeholders such as data providers, science teams, or mission teams
  • Strong attention to detail and commitment to data quality
  • Effective written and verbal communication skills; ability to produce clear technical documentation
  • Knowledge of version control systems (e.g., Git/GitHub)
  • US Citizenship required.
  • Ability to obtain and maintain a Tier 1 Investigation through NASA.
Preferred Qualifications:
  • Experience working with or within a NASA DAAC or similar data repository (e.g., NSIDC, ORNL, ASDC, PO.DAAC)
  • Experience as a data user - i.e., has worked with Earth science datasets in a research, operational, or analytical context and understands common user workflows and pain points
  • Prior experience acting as a technical point of contact or liaison for data providers or external science teams
  • Familiarity with GES DISC data holdings or tools such as Giovanni, Earthdata Search, and OPeNDAP
  • Familiarity with atmospheric science, precipitation, hydrology, or climate data and the communities that use them
  • Knowledge of metadata standards such as CF Conventions, ACDD, ISO 19115, or NASA's Unified Metadata Model (UMM)
  • Experience with cloud-optimized formats (Zarr, COG, STAC)
  • Experience with database management and SQL query writing
  • Familiarity with data access protocols such as OPeNDAP, THREDDS, or Earthdata APIs
  • Experience with containerization tools (e.g., Docker)
  • Contributions to open-source Earth science software or data communities

Team ADNET brings over 30 years of experience to information systems and professional services for the federal government. With a history of expertise in software development, computer network design, IT security, mission operations support, and educational outreach, Team ADNET is deeply embedded in the Space and Earth Science at NASA's Goddard Space Flight Center (GSFC) in Greenbelt, MD.
ADNET Systems, Inc. is working with Goddard Space Flight Center to fulfill NASA's vision for space exploration, and working with the Science and Exploration Directorate to fulfill its many missions.
ADNET Systems, Inc. is an employee-centric company, committed to providing premier benefits that support our employees and their families. With affordable medical and dental plans coupled with leading disability and life insurance options, ADNET offers our employees the benefits most sought after by today's professional candidate. Furthermore, our benefits package features the extras that distinguish us from other small businesses, ensuring our high employee retention that our customers appreciate.
Some features of our compensation plans and environment perks include:
  • Annual Leave/Sick Leave
  • Military and Family Emergency Leave
  • Paid Holidays
  • Performance Bonuses
  • Medical, Dental and Vision Plans
  • Direct Deposit Payroll
  • 401K Plan with Company Matching
  • Tuition Reimbursement
  • Swag bags

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