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Data Writing Jobs (NOW HIRING)

Inherent Technologies

Software Engineer

Chandler, AZ

Responsible for model data, writing specifications and pseudo-code, and document processes. Write program code, test and debug application modules. Run month-end closed procedures for all business ...

AS TRADE LLC

Data Scientist

Dallas, TX · On-site

Key Responsibilities Analyze banking and financial services data including customer, account, transaction, payment, lending, and credit data Write SQL queries to extract, clean, transform, and ...

IDEALFORCE LLC

Data Analyst(32237)

Phoenix, AZ

Complete projects requiring data mining, analysis and presentation Prioritize business and information needs Extract, import, clean, transform, and validate data Write Structured Query Language (SQL ...

eSimplicity

Senior Data Engineer

Columbia, MD · On-site

$132K - $151K/yr

Writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform) so pipelines deploy reliably * Performing code ...

Pivotal Solutions

Senior Accountant

Arlington, VA · On-site

$85K - $107K/yr

Complete period close (monthly) tasks, including analyzing data, writing journal entries, and Accounting reports/scorecards. * Assists in the other duties as directed by their supervisor as the ...

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How much do data writing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data writing in the United States is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $41.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Writing position, and why are they important?

To thrive in a Data Writing role, you need excellent written communication, strong analytical skills, and a background in data analysis or a related field. Proficiency with tools such as Microsoft Excel, Google Sheets, data visualization platforms, and, in some cases, SQL or Python is highly valuable. Attention to detail, problem-solving abilities, and the capacity to translate complex data into clear and accessible language are key soft skills. These competencies enable data writers to create accurate, informative content that drives decision-making and supports business objectives.

What types of projects or assignments do Data Writers typically work on, and how do they contribute to team goals?

Data Writers are often responsible for creating data-driven reports, summaries, case studies, or explanatory articles that communicate complex findings to diverse audiences. They collaborate closely with data analysts, researchers, and subject matter experts to ensure that information is both technically accurate and easy to understand. Typical projects may include preparing executive summaries, drafting white papers, or generating content for dashboards and presentations. By transforming analytical results into compelling narratives, Data Writers help teams share insights, support strategic decisions, and increase the accessibility of data across the organization.

What is a Data Writing job?

A Data Writing job involves collecting, analyzing, and presenting data in a clear and structured format. Professionals in this role create reports, summaries, and documentation based on data insights. They ensure accuracy, clarity, and readability while translating complex data into understandable content. Data writers may work in industries such as finance, research, marketing, or technology. Their work supports decision-making and communication across teams and organizations.

More about Data Writing jobs
What are the most commonly searched types of Data Writing jobs? The most popular types of Data Writing jobs are:
What states have the most Data Writing jobs? States with the most job openings for Data Writing jobs include:
What job categories do people searching Data Writing jobs look for? The top searched job categories for Data Writing jobs are:
Data Writing jobs near you
Infographic showing various Data Writing job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 69% Full Time, 21% Part Time, and 7% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $67,738 per year, or $32.6 per hour.
Data Analyst I

Data Analyst I

Brethren Mutual Insurance Company

Hagerstown, MD • On-site

Full-time

Posted 2 days ago

Job description

Job Summary

Entry-level Data Analyst with strong SQL skills to support our insurance data and application systems. This role is ideal for a candidate who enjoys working with data, writing queries, and supporting business-critical insurance processes such as policy rating and administration. You will work closely with senior developers, analysts, and business users to ensure accurate, reliable, and compliant data solutions.

Key Responsibilities

  • Develops, tests, and optimizes SQL queries, views, and stored procedures
  • Contributes to data validation, reconciliation, and quality checks
  • Advises on less complicated data-related issues and production support requests
  • Participates in application enhancements that involve database changes
  • Documents database logic, queries, and data flows
  • Carries out data security, privacy, and insurance compliance standards

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience)
  • 2-4 Years of experience in a similar field 
  • Strong foundational knowledge of SQL (SELECTs, JOINs, subqueries, aggregates)
  • Understanding of basic database concepts (tables, indexes, keys, normalization)
  • Familiarity with software development lifecycle (SDLC) concepts

Preferred Qualifications

  • Coursework, projects, or internships involving heavy SQL usage
  • Exposure to stored procedures, functions, and performance tuning
  • Basic programming experience in a language such as C#, Java, or Python
  • Experience with reporting tools or data analysis (Power BI, Excel)
  • Interest in insurance, financial services, or data-driven applications
  • Interest or experience in automation processes and tools, such as Power Automate
  • Familiarity with file transfer software, such as GoAnywhere

Soft Skills

  • Strong attention to detail and data accuracy
  • Analytical mindset with problem-solving skills
  • Ability to communicate technical information clearly
  • Comfortable working in a fast-paced environment, managing competing priorities
  • Willingness to learn insurance systems and business processes
  • Ability to learn and become proficient in vendor & proprietary software applications

What We Offer

  • Mentorship and training focused on SQL and insurance data systems
  • Hands-on experience with real insurance datasets and applications
  • Clear career path toward senior Software Developer, senior Data Analyst, or Database Developer roles
  • Competitive entry-level compensation and benefits

Apply