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Entry Level F1 Data Analyst Jobs in Portland, OR

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

2027 Intern - Technology

Gresham, OR · On-site

$15.75 - $21/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Vancouver, WA · On-site

$15.75 - $21.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

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Showing results 1-20

Entry Level F1 Data Analyst information

See Portland, OR salary details

$14

$34

$65

How much do entry level f1 data analyst jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for entry level f1 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 F1 data analyst do?

An Entry Level F1 Data Analyst is responsible for collecting, processing, and interpreting data related to Formula 1 racing teams' performance. They work with large datasets from car sensors, race simulations, and telemetry to provide insights that help engineers and strategists make informed decisions. Typical tasks include creating reports, visualizing data trends, and assisting with predictive modeling to optimize race strategies. Their work supports continuous improvement in car performance, race tactics, and overall team competitiveness.

What are the key skills and qualifications needed to thrive as an entry level F1 data analyst, and why are they important?

To thrive as an Entry Level F1 Data Analyst, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, engineering, or computer science. Familiarity with data analysis tools like Python, MATLAB, SQL, and motorsport-specific telemetry systems is typically required. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively make candidates stand out. These skills are crucial for accurately interpreting race data, informing team strategies, and delivering actionable insights in a high-pressure motorsport environment.

What are some common challenges faced by entry level F1 data analysts, and how can they overcome them?

Entry level F1 Data Analysts often face challenges such as understanding complex telemetry data, adapting to fast-paced race environments, and effectively communicating insights to technical and non-technical team members. Overcoming these challenges involves staying updated with the latest data analysis tools, actively seeking mentorship from experienced analysts or engineers, and honing communication skills to present findings clearly. Collaborating closely with race engineers and participating in team briefings will also help new analysts quickly adapt and contribute meaningfully to the team's performance.

What is the difference between Entry Level F1 Data Analyst vs Entry Level Data Analyst?

AspectEntry Level F1 Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of data analysis toolsBachelor's degree in relevant field; similar foundational skills
Work EnvironmentFinancial services, banking, or insurance industries; often in corporate officesVarious industries including finance, healthcare, retail; office settings
Employer & Industry UsageUsed by companies regulated by F1 licensing, primarily in finance sectorsWidely used across multiple industries without specific licensing

The Entry Level F1 Data Analyst and Entry Level Data Analyst roles share similar educational backgrounds and work environments. However, the F1 designation indicates a focus on financial services with specific licensing requirements, making it more specialized within the finance industry. Both roles are suitable for recent graduates seeking entry-level positions in data analysis.

Can I become an entry level F1 data analyst with no experience?

Entry level F1 data analyst roles typically require some foundational skills in data analysis, such as proficiency in Excel, SQL, or Python, but many employers are willing to consider candidates with little to no professional experience if they demonstrate strong analytical abilities and a willingness to learn. Completing relevant coursework, certifications, or internships can improve your chances of qualifying for such positions. Entry-level roles often focus on training and skill development on the job.

What are the most commonly searched types of F1 Data Analyst jobs in Portland, OR?

The most popular types of F1 Data Analyst jobs in Portland, OR are:

What are popular job titles related to Entry Level F1 Data Analyst jobs in Portland, OR?

For Entry Level F1 Data Analyst jobs in Portland, OR, the most frequently searched job titles are:

Consultative Offerings - Government & Public Services - Analyst - AI & Data Engineering

Portland, OR


Deloitte
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Good employer

Recommended by students

Paid breaks


Full-time

Re-posted 7 days ago


Job description

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.

Recruiting for this role ends on 09/23/2026.

Work you'll do

As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:

AI and Data Engineering Analyst

  • This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

Qualifications

Required:

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment

Preferred:

  • 3.4 cumulative GPA preferred
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,000 to $103,000.

Qualifications:

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.

Recruiting for this role ends on 09/23/2026.

Work you'll do

As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:

AI and Data Engineering Analyst

  • This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

Qualifications

Required:

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment

Preferred:

  • 3.4 cumulative GPA preferred
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,000 to $103,000.

Education:Bachelor's DegreeEmployment Type:


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