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Hourly Data Analytics Jobs in Oregon (NOW HIRING)

Senior Claims Data Analyst

Salem, OR · On-site +1

$86K - $109K/yr

Engage with business partners to support data collection, reporting, and analytics by addressing report issues, developing system and business processes, determining customer reporting needs ...

Senior Claims Data Analyst

Salem, OR · On-site

$86K - $109K/yr

Engage with business partners to support data collection, reporting, and analytics by addressing report issues, developing system and business processes, determining customer reporting needs ...

Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network. About the Role You will be part of a cost-focused team that leverages data to drive ...

Data Analyst Job Details Activities could include but is not limited to the following: Analysis of data to find patterns, Development of applications for data gathering and analysis, Developing ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment. * SQL Mastery: Advanced SQL skills are non-negotiable.

Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and ...

Data Analyst Job Details The successful candidate for this position will provide operational ... with Web Analytics tools such as Adobe Omniture, Web Trends and Google Analytics - Experience ...

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

This includes the use of descriptive analytics tools and techniques to summarize, visualize, and report on historical data to drive actionable strategic decision making. * Collaborate with business ...

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

Minimum of 2 years of experience in business analytics, operational reporting, business intelligence, performance measurement, healthcare operations, finance or other data-driven analytical roles ...

Minimum of 2 years of experience in business analytics, operational reporting, business intelligence, performance measurement, healthcare operations, finance or other data-driven analytical roles ...

Data Analyst

OR · On-site +1

$70K - $82K/yr

We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our hospital customers. This person collects data, synthesizes and interprets results from a variety of ...

This candidate thrives in a fast-paced, metrics-driven environment where they own end-to-end analytics initiatives-from problem definition and data validation through implementation and impact ...

Data Analyst

$52K - $80K/yr

Opportunity: Data Analyst Salary Range: $52,000 - $80,000 Division: Digital Services Recruiter ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... Our data and research teams transform raw data into strategic intelligence, delivering accurate ...

Showing results 21-40

Hourly Data Analytics information

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Oregon?

The most popular types of Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for Hourly Data Analytics jobs?

Cities in Oregon with the most Hourly Data Analytics job openings:

Senior Claims Data Analyst

SAIF

Salem, OR • On-site, Remote

$86K - $109K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Job description

Compensation Grade: 29Job 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.

Next step

To receive consideration, please submit your resume with a cover letter by the close of this recruitment. We want your submission to count, so be sure it's complete.

This recruitment will close on Thursday, September 10, 2026.

If a sufficient number of qualified applications are received this recruitment may close early.

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 determinedusing 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. For more information please visit saif.com/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.

For questions related to this job, please reach out to us at jobs@saif.com.

SAIF is an Equal Opportunity Employer that values diversity in its workplace.