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Entry Level Formula 1 Data Analyst Jobs in Portland, OR

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into ...

Competitive pay and benefits, including Day 1 Health & Wellness Benefits, Employee Stock Purchase ... Identify label and store supplies according to specifications and enter purchase order data into ...

Receiver, Non Formula

Portland, OR · On-site

$17 - $21.50/hr

Competitive pay and benefits, including Day 1 Health & Wellness Benefits, Employee Stock Purchase ... Identify label and store supplies according to specifications and enter purchase order data into ...

The SOC Analyst 1 supports the organization's security operations by monitoring security events ... Report suspected data quality issues, missing telemetry, dashboard problems, or tool availability ...

Accounting Analyst

Clackamas, OR · On-site

$63K - $82K/yr

This role is ideal for someone who excels in data analysis and audit tools to appropriately analyze and trend information to support operational and procedural decisions. Primary Duties: 1. ...

Accounting Analyst

Clackamas, OR · On-site

$63K - $82K/yr

... data analysis and audit tools to appropriately analyze and trend information to support operational and procedural decisions. Key Responsibilities Primary Duties: 1. Operational Financial Planning ...

Accounting Analyst

Clackamas, OR · On-site

$63K - $82K/yr

... data analysis and audit tools to appropriately analyze and trend information to support operational and procedural decisions. Key Responsibilities Primary Duties: 1. Operational Financial Planning ...

Portfolio Analyst

Lake Oswego, OR · On-site

$65K - $85K/yr

Dext Capital has been named one of the top 5 fastest-growing companies in the Greater Northwest and ... Strong background in data analytics/experience running regression analyses * Business development ...

Data Analysis: Utilize data analytics to inform decision-making and optimize deployment and ... Minimum of 1-3 years of work experience, preferably in Supply Chain Management or Customer Service ...

Data Analysis: Utilize data analytics to inform decision-making and optimize deployment and ... Minimum of 1-3 years of work experience, preferably in Supply Chain Management or Customer Service ...

Data Analysis: Utilize data analytics to inform decision-making and optimize deployment and ... Minimum of 1-3 years of work experience, preferably in Supply Chain Management or Customer Service ...

Data Analysis: Utilize data analytics to inform decision-making and optimize deployment and ... Minimum of 1-3 years of work experience, preferably in Supply Chain Management or Customer Service ...

Showing results 21-40

Entry Level Formula 1 Data Analyst information

See Portland, OR salary details

$14

$34

$65

How much do entry level formula 1 data analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level formula 1 data analyst in Portland, OR is $34.92, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $38.99 per hour, depending on experience, location, and employer.

What does an entry level Formula 1 data analyst do?

An Entry Level Formula 1 Data Analyst is responsible for gathering, processing, and analyzing data from various car sensors and race events to help the team improve performance. Their tasks may include monitoring telemetry data, creating reports, and supporting the engineering and strategy teams with actionable insights. They often work under the guidance of senior analysts to learn the intricacies of motorsport data and contribute to race preparation and post-race analysis. This role requires strong analytical skills, attention to detail, and a passion for motorsports.

What are the key skills and qualifications needed to thrive as an entry level Formula 1 data analyst, and why are they important?

To excel as an Entry Level Formula 1 Data Analyst, a strong background in mathematics, statistics, and data analysis—often supported by a degree in engineering, computer science, or a related field—is essential. Proficiency with data analysis tools like MATLAB, Python, and telemetry systems, as well as familiarity with motorsport-specific software, is typically required. Attention to detail, problem-solving abilities, and effective teamwork are standout soft skills in this high-pressure environment. These competencies ensure accurate interpretation of race data, informed decision-making, and optimal team performance during competitive events.

How does an entry level Formula 1 data analyst typically collaborate with race engineers and other team members during a race weekend?

As an entry level Formula 1 data analyst, you'll work closely with race engineers, mechanics, and senior analysts to interpret live telemetry data and provide actionable insights. During race weekends, you'll be responsible for monitoring data feeds, flagging anomalies, and assisting in performance analysis to help optimize car setup and strategy decisions. Collaboration is fast-paced and communication is key, as you'll frequently participate in briefings and debriefs to share findings and contribute to the team's decisions on car adjustments. This environment fosters rapid learning and offers opportunities to take on more responsibility as you gain experience.

What is the difference between Entry Level Formula 1 Data Analyst vs Entry Level NASCAR Data Analyst?

AspectEntry Level Formula 1 Data AnalystEntry Level NASCAR Data Analyst
Required CredentialsBachelor's in Data Science, Engineering, or related field; knowledge of motorsport analyticsBachelor's in Data Science, Sports Management, or related field; familiarity with racing data
Work EnvironmentHigh-tech F1 teams, international events, fast-pacedNASCAR teams, race tracks, regional to national events
Industry UsageUsed in elite motorsport analytics, focusing on aerodynamics, telemetryUsed in stock car racing analytics, focusing on race strategies, telemetry

Both roles involve analyzing racing data, but F1 Data Analysts typically work with more advanced telemetry and aerodynamics data in a highly competitive, international environment. NASCAR Data Analysts focus on stock car racing strategies and telemetry within a more regional setting. The core skills and educational backgrounds are similar, but the industry focus and work environment differ.

Can I be an Entry Level Formula 1 Data Analyst with no experience?

Entry Level Formula 1 Data Analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, but prior experience is not always mandatory. Candidates often need strong analytical skills, a relevant degree, and the ability to learn quickly in a fast-paced environment. Internships or certifications in data analysis can improve chances of entry without extensive experience.

What are the most commonly searched types of Formula 1 Data Analyst jobs in Portland, OR?

The most popular types of Formula 1 Data Analyst jobs in Portland, OR are:

What are popular job titles related to Entry Level Formula 1 Data Analyst jobs in Portland, OR?

For Entry Level Formula 1 Data Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Entry Level Formula 1 Data Analyst jobs in Portland, OR look for?

The top searched job categories for Entry Level Formula 1 Data Analyst jobs in Portland, OR are:

Infographic showing various Entry Level Formula 1 Data Analyst job openings in Portland, OR as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, and 2% Contract. Highlights an 74% Physical, 1% Hybrid, and 25% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Data Scientist, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies, understand business performance, and identify improvement opportunities. This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Data Scientist, you will:

  • Partner with Credit Risk to build production machine learning models; your models will determine who we lend to and how we interact with existing customers
  • Assess the quality and risk of various model methodologies, algorithms, outputs, and business processes
  • Develop our understanding of new data sources and how they may improve our existing processes and credit decisions
  • Design, develop, and deploy infrastructure for the training, testing, and serving of models at scale
  • Develop benchmark and challenger models to effectively challenge critical modeling decisions
  • Develop explainability and monitoring tools to enable the responsible use of statistical machine learning models and adhere to regulatory guidelines
  • Develop and maintain high quality and transparent model documentation.
  • Communicate your insights and solutions at all levels of the organization through effective presentations and technical reports
  • Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data
  • Identify business challenges and opportunities, using modeling and analytics to deliver strategic or tactical recommendations
  • Expand Concora Credit's capabilities in risk, marketing and operational analytics
  • Partner with leaders to develop an enterprise modeling long term road map across the enterprise. Be focused on execution, and ensure that models are implemented successfully and timely in production
  • As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training opportunities

 

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • M.S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of industry experience in statistical modeling and analytics, preferably in the Finance industry, or Ph.D in field mentioned above with 1-3 years of relevant experience
  • 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into testable hypotheses and/or next steps
  • Deep understanding and experience with data analysis, and statistical and machine learning models
  • Strong foundation in machine learning with experience implementing and optimizing machine learning models
  • Knowledgeable in applied statistics (e.g., hypothesis testing, regression techniques, probability, structured and un-structured learning algorithms, time series analytics, forecasting)
  • Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus
  • Strong Programming skills in Python and/or R (Python preferred)
  • Predictive modeling experience with a quantitative background is preferred
  • Experience working with consumer or business lending data is preferred
  • Excellent problem solver, disciplined attention to detail, great communicator
  • Strong ability to work proactively and collaboratively in a cross-functional team to drive results
  • Strong quantitative skills and communication skills - verbal and written

 

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

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