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Technical Data Analyst Jobs (NOW HIRING)

Technical Data Integration Analyst Location: Irving, TX (Hybrid) Duration: 12+ Months High Level Roles & Responsibilities : Key Responsibilities Data Sourcing & Ingestion Strategy: Act as the primary ...

... Technical Analyst Location: Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and ...

Data Analyst

Beavercreek, OH · On-site

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and ...

Data Analyst

Beavercreek, OH · On-site

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and ...

Data Analyst

Beavercreek, OH · On-site +1

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and ...

Role: VDOT - Data Analyst 3 Job Id - (799862) Location: 9120 Lockwood Blvd - Hybrid Interview ... Collaborate with the technical cloud team, I&O team and finance stakeholders to align cost models ...

The core mission of the Data Analyst As a Data Analyst, you will be the analytical engine behind ... Technical data integrity - Maintain rigorous data hygiene by auditing the flow of training ...

$39.97 - $62.91/hr

As a Data Analyst-Technical-Staff, you will be part of a team that contributes to strategic initiatives, clinical standards, and operational goals through data insights. Reporting to senior leaders ...

The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security, metadata management, and technical oversight of HR data within an Azure-based data warehouse ...

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

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Technical Data Analyst information

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How much do technical data analyst jobs pay per hour?

As of Jun 26, 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 does a technical data analyst do?

A technical data analyst collects, processes, and analyzes large datasets to identify trends and insights that support business decision-making. They often use tools like SQL, Python, or Excel and have a strong understanding of data management, statistical methods, and data visualization. The role typically requires problem-solving skills and attention to detail to ensure data accuracy and relevance.

What jobs pay 500,000 a year in the US?

In the US, highly senior roles such as executive-level positions (e.g., CEOs, CFOs, CTOs), successful entrepreneurs, and certain specialized medical or legal professionals can earn $500,000 or more annually. Additionally, some highly experienced data scientists, software engineers, or technical consultants in top firms may reach this level through bonuses, stock options, or profit sharing. Achieving this income typically requires extensive experience, advanced skills, and often leadership responsibilities or ownership stakes.

Is 40 too late for data science?

A Technical Data Analyst can transition into data science at any age, including 40, as the field values skills like programming, statistics, and problem-solving which can be developed through online courses and certifications. Many professionals successfully switch careers later in life by gaining relevant experience and building a portfolio of projects.

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.

Can ISFJ be a data analyst?

Yes, ISFJ personality types can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel or SQL. While personality can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.
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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 June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% 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 / Data Engineer

Technical Data Analyst / Data Engineer

FutureTech Consultants LLC

Houston, TX • On-site

Other

Posted 3 days ago


Job description

Technical Data Analyst / Data Engineer

Location: Houston, TX

Duration: 6+ months

We are seeking a hands-on technical resource to support data, reporting, and automation initiatives within our Environmental function. This role is focused on building scalable data pipelines, developing reporting solutions, and driving end-to-end automation across systems. The ideal candidate is execution-oriented, detail-focused, and comfortable working independently in a fast-paced environment.

Key Responsibilities

  • Support automation and data workflows for environmental reporting.
  • Design, develop, and maintain scalable database architectures and data pipelines
  • Develop and optimize SQL queries, views, and data models
  • Build and maintain reporting dashboards and data visualizations (Power BI, Spotfire, or similar)
  • Develop and implement data quality checks, validation, and reconciliation processes
  • Build automation solutions using Power Automate, Copilot Studio, Python, or similar tools
  • Integrate data across multiple systems and platforms
  • Document data processes, architectures, and standards for scalability and auditability
  • Provide hands-on technical execution support for priority automation and reporting projects

Required Qualifications

  • Strong database expertise (SQL required, cloud data platforms a plus)
  • Proven hands-on experience with reporting tools (Power BI, Spotfire, or similar)
  • Proven hands-on experience building automation (Power Automate, Copilot Studio, Python, or similar)
  • Experience designing and supporting data integration and ETL pipelines
  • Experience working with both structured and semi-structured/unstructured datasets
  • Strong analytical and root cause analysis skills
  • Ability to translate business requirements into practical, scalable technical solutions
  • Strong documentation and communication skills
  • Ability to work independently and manage multiple priorities in a remote environment

Preferred Qualifications

  • Experience in the oil and gas industry.
  • 5+ Years of experience in IT Industry specially on the development and support side.
  • Bachelor s degree or higher in Computer Science, Data Analytics, Engineering, or a related field
  • Exposure to machine learning, predictive analytics, or advanced data modelling