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Hourly Data Analyst Startup Jobs in Oregon (NOW HIRING)

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Named one of America's Best Startup Employers by Forbes five times, Unqork provides industry ... Maintain strict data hygiene in Salesforce (SFDC) and Zendesk (ZD) by managing the ongoing account ...

Data Scientist

OR · On-site +1

Background in procurement, contract management, spend analytics, or financial operations domains ... Prior work at a high-growth startup or enterprise AI company * An MS or PhD in a quantitative field ...

Strong data-analysis capabilities, including working across multiple data sources, reconciling ... The following are our hourly salary ranges for this role: $60-$70 an hour #LI-NM1 #LI-REMOTE

This is a hands-on role for someone who enjoys digging into payroll data, catching discrepancies ... startup experience strongly preferred. * Strong analytical skills with demonstrated experience ...

Hourly BCBA

Eugene, OR · On-site

$55 - $65/hr

Are you a Board Certified Behavior Analyst (BCBA) ready to learn and grow with a company that is ... Our core values are to provide high caliber services through data-driven treatment, supporting each ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual ... Demonstrated analytical skills and ability to contribute to data driven solutions that address real ...

Revenue Analytics Manager

OR · On-site +1

$120K - $175K/yr

... in data analytics, business intelligence, or GTM/Revenue Operations - with meaningful experience at a startup or high-growth SaaS company * Demonstrated ability to operate autonomously in an ...

Payroll Analyst

OR · On-site +1

What You'll Do * Validate and audit hourly employee timesheets prior to payroll processing ... Review payroll data for accuracy, completeness, and compliance before payroll processing. * Process ...

Showing results 21-40

Hourly Data Analyst Startup information

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 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.

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 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 most commonly searched types of Data Analyst Startup jobs in Oregon?

The most popular types of Data Analyst Startup jobs in Oregon are:

What cities in Oregon are hiring for Hourly Data Analyst Startup jobs?

Cities in Oregon with the most Hourly Data Analyst Startup job openings:

Infographic showing various Hourly Data Analyst Startup job openings in Oregon as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

Associate Product Manager @ Social app startup

Cheez

Salem, OR • On-site

Full-time

Re-posted 24 days ago


Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa

or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture