1

Technical Data Analyst Jobs (NOW HIRING)

Technical Data Analyst Location: McLean, VA (Onsite) Industry: Banking and Financial Services Job Category: Data Analytics / Business Intelligence Overview: We are seeking a Senior Technical Data ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Summary: We are looking for a highly capable Technical Data Analyst to join our Claims Operations Compliance ...

Technical Data Analyst

Midland, TX ยท On-site

$120/hr

The Data Modeler - Emissions Reduction Program Analyst will join our Upstream - Unconventional ... Technical background on implementation of APIs to merge data between different systems * Experience ...

OR

$67K - $89K/yr

GHX is seeking a Technical Data Analyst III to work on our Content Tooling solution with a focus on data analysis, reporting, and data quality. This individual will be responsible for analyzing ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform business decisions, as well as documenting business requirements to ensure effective communication ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform business decisions, as well as documenting business requirements to ensure effective communication ...

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform business decisions, as well as documenting business requirements to ensure effective communication ...

Pentecom is seeking a Senior Technical Data Analyst II / Technical Data Engineer to join our Technical Data and Consulting team! Please note the Senior Technical Data Analyst II position is a ...

next page

Showing results 1-20

Technical Data Analyst information

See salary details

$19

$52

$73

How much do technical data analyst jobs pay per hour?

As of Jun 5, 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.

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 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.
More about Technical Data Analyst jobs
What cities are hiring for Technical Data Analyst jobs? Cities with the most Technical Data Analyst job openings:
Who are the top companies hiring for Technical Data Analyst jobs? The top employers for Technical Data Analyst jobs are:
What states have the most Technical Data Analyst jobs? States with the most job openings for Technical Data Analyst jobs include:
What are popular job titles related to Technical Data Analyst jobs? For Technical Data Analyst jobs, the most frequently searched job titles are:
Infographic showing various Technical Data Analyst job openings in the United States as of May 2026, with employment types broken down into 52% Full Time, 32% Part Time, and 16% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,362 per year, or $52.1 per hour.

Technical Data Analyst

Purple Drive Technologies

Warren, NJ โ€ข On-site

Full-time

Posted 18 days ago


Job description

Overview:
We are seeking a detail-oriented Technical Data Analyst to interpret complex data, analyze results, and deliver actionable insights that support informed decision-making across the organization. This role works closely with IT and business stakeholders, particularly within Property & Casualty (P&C) insurance, to understand data needs, assess existing data assets, and present findings in a clear, concise, and business-relevant manner.
The ideal candidate will have strong hands-on experience with Python, MySQL, Agile delivery, and deep domain knowledge in Claims Management and Commercial Lines Policy Administration.
โ€ข Key Responsibilities
Data Analysis & Insights
  • Analyze large, complex datasets to identify trends, patterns, and insights that support business decisions
  • Interpret data related to Property & Casualty insurance, including claims and policy data
  • Validate data accuracy, consistency, and completeness across multiple data sources
  • Develop data summaries, dashboards, and reports for technical and non-technical audiences
Stakeholder Collaboration
  • Partner with IT, business, and product stakeholders to gather and understand data and reporting requirements
  • Review existing data assets and recommend improvements or new analytical approaches
  • Translate business requirements into technical data analysis solutions
  • Present findings and recommendations in a clear, concise, and actionable format
Technical & Tools
  • Use Python for data analysis, automation, and data transformation
  • Write and optimize MySQL queries for data extraction, analysis, and validation
  • Work with structured datasets from enterprise systems related to Claims Management and Policy Administration
  • Support data analysis activities within Agile/Scrum environments
Governance & Quality
  • Ensure adherence to data standards, best practices, and governance policies
  • Document data definitions, assumptions, logic, and analytical methodologies
  • Support continuous improvement initiatives by identifying data gaps and process inefficiencies
โ€ข Required Skills & Experience
Core Experience
  • 8-10 years of experience as a Data Analyst / Technical Data Analyst
  • Strong experience working with enterprise data environments
  • Proven experience delivering insights in SLA-driven, business-critical environments
Technical Skills
  • Python - data analysis, scripting, automation
  • MySQL - advanced querying, performance optimization
  • Experience working in Agile (Scrum/Kanban) delivery models
  • Strong understanding of data structures, data validation, and analysis techniques
Domain Expertise (Mandatory)
  • Claims Management - Property & Casualty
  • Policy Administration - Commercial Lines
  • Strong understanding of insurance data models, workflows, and business processes
Soft Skills
  • Excellent written and verbal communication skills
  • Strong analytical and problem-solving abilities
  • Ability to work independently and collaboratively with cross-functional teams
  • Detail-oriented with a strong focus on data accuracy and quality