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Entry Level Data Jobs in Davis, CA (NOW HIRING)

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. When you join ACES, you're joining a team that's setting the standard in autism ...

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. When you join ACES, you're joining a team that's setting the standard in autism ...

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. When you join ACES, you're joining a team that's setting the standard in autism ...

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. When you join ACES, you're joining a team that's setting the standard in autism ...

Showing results 21-40

Entry Level Data information

See Davis, CA salary details

$11

$21

$30

How much do entry level data jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level data in Davis, CA is $21.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $23.65 per hour, depending on experience, location, and employer.

What is an entry level data job?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What are the key skills and qualifications needed to thrive as an entry level data analyst?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.

What types of projects or tasks are typically assigned to entry level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are the most commonly searched types of Data jobs in Davis, CA?

The most popular types of Data jobs in Davis, CA are:

What cities near Davis, CA are hiring for Entry Level Data jobs?

Cities near Davis, CA with the most Entry Level Data job openings:

Infographic showing various Entry Level Data job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $43,780 per year, or $21 per hour.

Consultative Offerings - Government & Public Services - Summer Scholar - AI and Data Engineering

Deloitte

Sacramento, CA

Temporary

Posted 23 days ago


Deloitte rating

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


Job description

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar 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 9/23/2026. 

Work you'll do 

As a Summer Scholar 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 Summer Scholars 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 Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar 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 deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-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 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/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 wage is $43/hour. 




Qualifications:

Consultative Offerings, Government & Public Services - Summer Scholar - AI and Data Engineering 

Join Deloitte's Government & Public Services practice as a Summer Scholar 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 9/23/2026. 

Work you'll do 

As a Summer Scholar 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 Summer Scholars 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 Summer Scholars whose skills and interests align with the below description: 

AI and Data Engineering Summer Scholar 

  • This Summer Scholar 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 deepexpertisein advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By mergingexpertisein AI, data engineering, and enterprise architecture, thisScholarempowers organizations toleveragedata-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 2028 pursuing a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or a related/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 wage is $43/hour. 




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