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Hourly Data Analytics Jobs in Tangent, OR (NOW HIRING)

Senior Claims Data Analyst

Salem, OR ยท 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 ยท 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 ...

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.

Contract Analyst

Corvallis, OR ยท On-site

$67K - $81K/yr

Proficiency with Excel, data analysis, and presentation of findings * Excellent written ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

They are seeking a Data Governance Strategy professional to manage complex data processes, ensuring quality and efficiency in data handling and team collaboration. Responsibilities : โ€ข Batch data ...

The HR Business Partner provides HR generalist support to a large population of hourly employees ... data analytics to identify emerging trends, predict future challenges, and implement proactive ...

The HR Business Partner provides HR generalist support to a large population of hourly employees ... data analytics to identify emerging trends, predict future challenges, and implement proactive ...

: Sr. Analyst

Salem, OR

$88K - $117K/yr

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... hourly rate (W2/C2C). Job Title: Sr. Analyst Location: Salem, OR Duration: 3+ Months Project ...

Water Quality Analyst

Corvallis, OR ยท On-site

$32.88 - $41.81/hr

Salary: $32.88 - $41.81 Hourly Location : City of Corvallis, OR Job Type: Full time regular ... Evaluate and document data; provide information, conclusions, and recommendations to staff as ...

Business Analyst

Salem, OR ยท Remote

$60 - $65/hr

Familiarity with data governance, privacy, security practices, relational data platforms, or cloud ... Analyst opportunity is a strong fit for candidates with requirements gathering, process ...

Business Analyst Location: Salem, OR Duration: Longterm DESCRIPTION The Business Analyst , as part ... data replication & data storage solutions, develop business continuity and disaster recovery plans ...

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Showing results 1-20

Hourly Data Analytics information

See Tangent, OR salary details

$25

$55

$96

How much do hourly data analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for hourly data analytics in Tangent, OR is $55.96, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $63.41 per hour, depending on experience, location, and employer.

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 cities near Tangent, OR are hiring for Hourly Data Analytics jobs?

Cities near Tangent, OR with the most Hourly Data Analytics job openings:

Healthcare Data and Analytics Specialist - Remote - USA

FullStack Labs

Salem, OR โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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