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Hourly Data Analyst Startup Jobs in Remote, OR (NOW HIRING)

Description Bluespine is an innovative new startup in the health-IT domain. By employing cutting ... Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ...

Our platform combines real-time conversation analysis, behavioral science, and AI agents to break ... Build integrations with customer systems, data sources, and enterprise applications * Rapidly ...

... analytics, reports and KPIs - Solicit references, referrals, and testimonials from customers ... Previous experience in customer success is a big bonus (even better if in a SaaS startup) A proven ...

... analytics, reports and KPIs - Solicit references, referrals, and testimonials from customers ... Previous experience in customer success is a big bonus (even better if in a SaaS startup) A proven ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... analysis, and resolution (e.g., handling high concurrency and massive data processing). * 3+ years ... Capability to work effectively in a fast-paced and dynamic startup environment. This Might Be for ...

Store Supervisor

Coos Bay, OR · On-site

$65K - $100K/yr

... hourly associates by hiring training and mentoring of associates assigning duties settingclear ... data insights and analysis balances short and longterm priorities and considers our customers ...

... hourly associates by hiring training and mentoring of associates assigning duties settingclear ... data insights and analysis balances short and longterm priorities and considers our customers ...

New

... hourly associates by hiring training and mentoring of associates assigning duties settingclear ... data insights and analysis balances short and longterm priorities and considers our customers ...

Department Supervisor

Coos Bay, OR · On-site

$65K - $100K/yr

... hourly associates by hiring training and mentoring of associates assigning duties settingclear ... data insights and analysis balances short and longterm priorities and considers our customers ...

Department Supervisor

Coos Bay, OR · On-site

$65K - $100K/yr

... hourly associates by hiring training and mentoring of associates assigning duties settingclear ... data insights and analysis balances short and longterm priorities and considers our customers ...

Store Supervisor

Coos Bay, OR · On-site

$65K - $100K/yr

... hourly associates by hiring training and mentoring of associates assigning duties settingclear ... data insights and analysis balances short and longterm priorities and considers our customers ...

Reconciling salary/hourly rates, termed dates, name changes, and organization in Unanet to the data ... Assisting in preparing audit documentations and analyses * Assisting with helpdesk tickets relating ...

Hourly Data Analyst Startup information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do hourly data analyst startup jobs pay per year?

As of Aug 29, 2026, the average yearly pay for hourly data analyst startup in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What does an hourly data analyst at a startup do?

An Hourly Data Analyst at a startup is responsible for collecting, processing, and analyzing data to help the company make informed decisions. This role often involves working with large datasets, creating reports, and visualizing trends to support various business functions. Since startups are fast-paced, an hourly data analyst may also assist with data cleaning, database management, and implementing analytics tools. Their work helps identify areas for growth, improve processes, and measure key performance indicators. Flexibility and adaptability are important, as tasks and priorities can change rapidly in a startup environment.

What are the key skills and qualifications needed to thrive as an hourly data analyst at a startup?

To thrive as an Hourly Data Analyst at a startup, you need strong analytical skills, proficiency in statistics, and experience with data manipulation, often supported by a relevant degree or coursework. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau or Power BI is typically required. Standout candidates possess problem-solving abilities, adaptability, and effective communication to translate data into actionable insights in a dynamic environment. These skills are crucial for driving data-informed decisions and supporting rapid growth and innovation in the startup setting.

What are some common challenges faced by an hourly data analyst at a startup, and how can I prepare for them?

As an Hourly Data Analyst in a startup environment, you may encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. Startups often require analysts to work with incomplete or messy data and to quickly provide actionable insights for fast-paced decision-making. To prepare, it's beneficial to strengthen your adaptability, communication, and problem-solving skills, as well as familiarize yourself with a range of data tools and technologies. Collaborating closely with cross-functional teams—such as product, engineering, and marketing—is also key to success in this dynamic setting.

What is the difference between Hourly Data Analyst Startup vs Hourly Data Analyst Corporate?

AspectHourly Data Analyst StartupHourly Data Analyst Corporate
Work EnvironmentFast-paced, flexible, often small teamsStructured, larger teams, formal processes
Required CredentialsRelevant degree, data analysis skills, sometimes certificationsSimilar credentials, often with additional industry-specific certifications
Industry UsageStartups across tech, finance, marketingLarge corporations in various sectors
Work FocusRapid project turnaround, innovationLong-term data management, reporting

Hourly Data Analyst startup roles typically involve a fast-paced environment with flexible hours and a focus on quick, innovative solutions. In contrast, corporate roles tend to be more structured with formal processes and long-term data projects. Both roles require similar credentials, but the work environment and focus differ significantly.

Bluespine-Sr. FWA Analyst

OR • On-site, Remote

Full-time

Re-posted 9 days ago


Job description

Description
Bluespine is an innovative new startup in the health-IT domain. By employing cutting-edge technologies, Bluespine is developing an engine that detects errors in medical billing, which causes billions of dollars in losses across the entire industry. Bluespine can offer personalized precision by tailoring assessments to each unique medical claim, considering the relevant provider, payer, and plan, and ensuring unparalleled accuracy.
We are looking for a Sr. FWA Analyst experienced in discovering medical billing errors and fraudulent billing patterns of medical claims for commercial payers.
Responsibilities
  • Proactively identify potential instances of fraud, waste, and abuse through data analysis using company systems and tools
  • Support engineering and data science teams with audit and FWA concepts, data mapping, and defining data requirements
  • Determine the likelihood of cases being true error/fraud, based on real-life experience.
  • Validate and help to tune anomaly detection algorithms.

Requirements
  • Hands-on experience exploring and investigating potential medical billing errors/fraud using analytic and SQL/graph-based tools.
  • Extensive knowledge of medical terminology, medical records, health information management, medical coding, DRG methodologies, CPT/HCPCS coding guidelines, physician specialty guidelines, reimbursement programs, claims adjudication processes, member contract benefits, regulatory agency policies (CMS/HCFA, DOI, state regulations), and provider billing systems and practices.
  • Strong analytical skills and ability to approach tasks in a scientific manner.
  • Background in SIU or Payment Integrity.
  • Independent, Organized, and with excellent communication skills.

Advantages
  • Medical/clinical background.
  • Experience with Pharma claims.
  • Billing/coding experience.