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Technical Writer Data Analyst Jobs in Oregon (NOW HIRING)

Senior Claims Data Analyst

Salem, OR · On-site

$82K - $137K/yr

The same is true for being able to communicate effectively with technical and nontechnical ... Adapt both written and verbal presentation styles to ensure the audience's understanding regardless ...

Senior Data Analyst

OR · On-site +1

$80/hr

... technical strategies for delivery. This position will report to the CEO. You Will: * Trace issues ... Write clear, concise Jira tickets explaining what was found, how it was fixed, and how to prevent ...

BMPS Data Analyst

Grants Pass, OR · On-site

$37 - $40/hr

... technical procedures, or governmental regulations. Ability to write reports, business ... Data Analyst_July 2026.pdf Monday - Friday; 8:00am - 5:00pm w/ a 1 hour unpaid lunch & two 15 ...

Data Analyst II

OR · On-site +1

An analyst here can own a data product end-to-end - from methodology to client delivery - and ... Use AI to drive client-value - you will write prompts and run automated evaluation processes to ...

Senior Data Analyst, Data Feeds

OR · On-site +1

$85K - $108K/yr

An analyst here can own a data product end-to-end-from methodology to client delivery-and directly ... You communicate technical concepts clearly and can explain methodologies, assumptions, and ...

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources ... Maintain professional and technical knowledge by leveraging online resources, attending conferences ...

Role Overview This position is for a lead data analyst with a background in Payroll. The role ... Technical Skills: Oracle HCM Payroll and Alteryx are highly preferred, however if there is strong ...

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Associate Professor Position ... Excellent verbal/written communication skill to work with researchers and engineers. Compensation ...

... analytical and debugging skills. Should be able to examine data patterns to identify performance ... written reports, and develop and share BKMs with other team members. Should be able to debug and ...

The intern will work with a variety of business and technical teams to improve data quality, support analytics solutions, and explore AI capabilities using platforms such as Databricks. This role ...

Showing results 41-60

Technical Writer Data Analyst information

What is a technical writer data analyst?

Technical Writer Data Analysts are professionals who combine expertise in data analysis with strong communication skills to create clear, accurate documentation about data processes, findings, and tools. They often interpret complex data, generate reports, and explain analytical results in a way that is accessible to technical and non-technical audiences. Their work bridges the gap between data experts and stakeholders, ensuring that data-driven insights are well-understood and actionable. These specialists may also create user guides, data dictionaries, and help documentation for analytics tools or systems.

What are the key skills and qualifications needed to thrive as a technical writer data analyst?

To thrive as a Technical Writer Data Analyst, you need strong analytical skills, proficiency in data interpretation, and excellent written communication, typically backed by a degree in a relevant field such as technical writing, data science, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), data analysis software (such as SQL or Python), and documentation management systems is commonly required. Attention to detail, the ability to translate complex data into clear documentation, and strong collaboration skills set top performers apart. These competencies ensure that technical information is accurately conveyed to diverse audiences, supporting informed decision-making and process efficiency.

How do technical writer data analysts typically balance documentation tasks with data analysis responsibilities in their daily workflow?

Technical Writer Data Analysts often split their time between creating clear, user-friendly documentation and performing data analysis tasks, such as generating reports or interpreting data trends. Balancing these responsibilities requires effective time management and prioritization, as they may need to collaborate closely with engineers, data scientists, and product managers to ensure accuracy and relevance in both areas. Many organizations support this by providing collaborative tools and regular cross-functional meetings. This dual focus not only sharpens communication skills but also deepens technical expertise, making it a great role for those who enjoy variety and teamwork.

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

AspectTechnical Writer Data AnalystData Scientist
Required SkillsData analysis, technical writing, communicationAdvanced statistical, programming, and modeling skills
CertificationsData analysis certifications, technical writing coursesData science certifications, programming certifications
Work EnvironmentTech companies, consulting firms, documentation teamsResearch labs, tech firms, finance, healthcare
Primary FocusCreating clear documentation and reports from dataDeveloping predictive models and data-driven solutions

The main difference is that Technical Writer Data Analysts focus on translating complex data into understandable documentation, while Data Scientists develop models and algorithms to analyze data. Both roles require strong analytical skills, but Data Scientists typically have more advanced programming and statistical expertise. The choice depends on whether you prefer communicating data insights or building data models.

Are technical writers still in demand?

Technical writers, including data analysts who create clear documentation and reports, are in steady demand due to the increasing need for clear communication of complex information across industries. Skills in tools like Markdown, XML, and content management systems enhance employability, and demand is expected to grow with ongoing technological advancements.

How much does a technical writer data analyst get paid?

The average salary for a technical writer data analyst ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with skills in data visualization, SQL, and documentation tools like Markdown or LaTeX tend to earn higher salaries.

Is a technical writer data analyst a high paying job?

A technical writer data analyst typically earns a competitive salary that varies based on experience, location, and industry. Combining skills in technical writing, data analysis, and tools like SQL or Excel can increase earning potential, with senior roles often paying higher wages.

Senior Claims Data Analyst

Salem, OR • On-site

SAIF Corporation
Insurance Services • 1 - 5K employees

$82K - $137K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Compensation & Benefits

Typical hiring range: $93,339 - $109,810.

The pay range for this position is annually based on a full-time schedule. Actual compensation will be determined using factors such as experience, skills, training, certifications & education.

SAIF provides a wide range of benefits to employees who work at least 20 hours per week, including health care, retirement savings plans, paid time off, and more.

For additional information about SAIF's total rewards, visit our website at: Total rewards (saif.com)

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, seasonal, or temporary employment.

Full salary range: $82,360 - $137,265

Veterans

We provide preference to qualifying and disabled veterans.

About us

Since 1914, SAIF has been taking care of injured workers, helping people get back to work, and keeping rates low by focusing on workplace safety. Together with our partners, we strive to make Oregon the safest and healthiest place to work.

Job Description

Mission-driven. Not-for-profit. These are just two reasons SAIF is not your typical insurance company. So, naturally, this is not your typical analyst position.

As our new senior claims data analyst, you’ll be performing high-level analytical functions that have a huge impact on the success of our claims division. You will work with business partners throughout the organization—including internal audit, finance, actuary, underwriting, and policyholder services—to make data-based decisions around our products and services, utilization trends, and our customer experience.

Working individually and with business partners, you'll create and maintain existing reports, build forecasts, and develop analysis to leverage data in new ways. You'll extrapolate data to help drive decisions and create visuals to share with others. You’ll also need demonstrated knowledge of statistical processes and techniques. Strong skills with Microsoft Office tools, especially Excel, are so crucial that we require them. The same is true for being able to communicate effectively with technical and nontechnical audiences. Strong Tableau or other analytical tool experience is critical. Above all, a passion for data and analysis is a must.

The selected candidate will need to reside in Oregon and could work remotely from their home office. You will travel to our Salem headquarters approximately once per week.

Responsibilities Data Analysis & Reporting: Plan and conduct operational studies. Compile information and synthesize, analyze, and evaluate complex data and issues to develop and recommend improvements for policies, procedures, programs, and products. Contribute supporting data and recommendations in the preparation of budget, measures, policies, procedures, division and corporate objectives and strategies. Synthesize and analyze complex data and transform it into action-oriented information to drive operational and/or strategic decision-making at SAIF. Prepare and produce summarized narratives and visualizations that provide insights to inform management and employees in decisions and action. Communicate clearly and effectively, ensuring information is easily understood by the intended audience. Adapt both written and verbal presentation styles to ensure the audience’s understanding regardless of technical proficiency. Tailor the message to align with the audience’s interests and understanding. Develop, study, and analyze tables, graphs, charts, and other statistics to arrive at logical conclusions about data. Apply analytical and quantitative approach to problem solving. Convert data into relevant information for monitoring, trending, and evaluating claims operational performance. Monitor data accuracy through upstream and downstream data channels including creation of error reports to ensure accuracy of claims’ data. Collaborate with business partners to resolve data discrepancies and enhance accuracy of data and reports for current and future utilization. Provide ad hoc analytic services to internal and external stakeholders. Determine appropriate prioritization of research, reporting, and data analysis in line with division and organizational needs. Perform financial analyses and prepare forecast for proposed initiatives, programs, and costs. Serve as a consultant and resource for internal and external claims management information, pro-active problem resolution, and the application of analytical techniques. Drive cross-functional collaboration and work effectively with business and technical subject matter experts across organizational lines to support the understanding and use of claims data and reporting. Engage with business partners to support data collection, reporting, and analytics by addressing report issues, developing system and business processes, determining customer reporting needs, assisting in the development, and testing of reports, ensuring data integrity, and maximizing utilization of available technology.

Additional functions: Participate in cross-organizational project teams to design, improve, and implement claims strategies and initiatives. Represent the claims data perspective in operational reviews, enterprise projects, and strategic initiatives. Collaborate with IT and the data & analytics function to support data governance, incorporate the use of analytics to inform decisions, and help progress data strategy and transformation to support broader organizational data analytics efforts. Earn and maintain certification as an Oregon workers compensation claims examiner. Perform other duties as assigned by management to support team objectives and organizational goals, demonstrating flexibility and adaptability in responding to evolving priorities and needs. Explore diverse perspectives and consistently behave sensitively toward differences in cultural norms, expectations, and ways of communicating. Work effectively with others who have different perspectives, backgrounds, and/or work styles.

The following qualifications are recommended: Five or more years of business analytics, data analysis or operational research experience. Background using data visualization, data querying, and business intelligence tools. Previous experience demonstrating strong interpersonal, organizational, problem-solving, decision-making, and written and verbal communication skills, with proven ability to prioritize multiple competing tasks, and handle sensitive information and situations with tact and discretion. Bachelor’s degree in mathematics, economics, business, or a related field. Other combinations of skills and experience may be considered.

SAIF is an Equal Opportunity Employer that values diversity in its workplace. SAIF participates in E-Verify and is an EEO employer and all applicants have rights under state and federal employment laws.

If you have questions or are a person with a disability and need assistance, feel free to contact us at jobs@saif.com or 503.373.8040.

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