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Technical Data Analyst Jobs (NOW HIRING)

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Title: AVP, Technical Data Analyst Company: Everest Insurance Company Job Category: Technology Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

AVP, Technical Data Analyst

Warren, NJ · On-site

$175K - $210K/yr

Title: AVP, Technical Data Analyst Company: Everest Insurance Company Job Category: Technology Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

AVP, Technical Data Analyst

Warren, NJ · Hybrid

$175K - $210K/yr

Title: AVP, Technical Data Analyst Company: Everest Insurance Company Job Category: Technology Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

Technical Data Analyst uses business intelligence and reporting expertise to build the dashboards and reports our clients and their end users rely on to report investment portfolio information to ...

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

Technical Data Analyst uses business intelligence and reporting expertise to build the dashboards and reports our clients and their end users rely on to report investment portfolio information to ...

... 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 ...

Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and ...

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Technical DATA Analyst information

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How much do technical data analyst jobs pay per hour?

As of Aug 17, 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 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.

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.

Can I be a technical data analyst with no experience?

Technical data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and familiarity with data visualization. While prior experience can be helpful, entry-level positions may be available for candidates with relevant skills, certifications, or educational backgrounds in data-related fields.
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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:

Infographic showing various Technical Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $108,362 per year, or $52.1 per hour.

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Technical DataAnalystuses business intelligence and reporting expertise to build the dashboards and reports ourclientsand their end users rely on to report investment portfolio information to their ownclients.These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics.Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables.Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.
Responsibilities:

  • Design, build, and maintaintheBI dashboards and reportsour clients and their end users usefor investor andportfolioreporting.

  • Produce accurate, timely investment and financial reporting-including performance, portfolio, and ad hoc analytics-tailored to client andend-user needs.

  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionablefor clients and their end users.

  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.

  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them intoclient-ready deliverables.

  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.

  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.

  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.


Required Skills:

  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).

  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.

  • Experience designing and automating reporting dashboards and recurring report production.

  • Deep understanding of investment data.

  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).

  • Understanding of database design and data warehouse principles.

  • Knowledge of one or more programming languages (e.g.,Java, Python, VBA).

  • Proficiency in data manipulation and data cleansing techniques.

  • Knowledge of data governance and best practices in data management.

  • Continuous improvement mindset for self and team.

  • Ability to work collaboratively in a cross-functional team environment.

  • Ability to work with large datasets and perform data mining tasks.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.


Education and Experience:

  • Bachelor's degree in data analytics, statistics, accounting,finance,computer science, or related discipline.

  • 5+ years of relevant experience inbusiness intelligence,financial/investmentreporting,data analytics,and visualization.

  • Hands-on experience with SQL and NoSQL databases.

  • Experience with data integration andETL (extract, transform, load)processes.

  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.