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Intern Python Data Analyst Jobs in Long Beach, CA

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... Design and implement automated workflows using SQL, Python, Snowflake, and related tools to ...

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. * Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic ...

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

Junior Data Analyst

Burbank, CA · On-site

$60K - $65K/yr

The Junior Data Analyst in the Data Analytics Department supports both external client engagements ... Proficient in programming with Python or SQL. * Proficient with data visualization tools such as ...

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ... and automation * Understanding of Project Management principles and SDLC * Understanding of machine ...

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... Utilize SQL, Python, R, or other tools to extract and manipulate large datasets. Explore ...

... Python, SQL, or similar data analysis tools • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • Strong problem-solving ability and attention to detail ...

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Intern Python Data Analyst information

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How much do intern python data analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for intern python data analyst in Long Beach, CA is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.77 per hour, depending on experience, location, and employer.

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst, and why are they important?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What are the most commonly searched types of Python Data Analyst jobs in Long Beach, CA? The most popular types of Python Data Analyst jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Intern Python Data Analyst jobs? Cities near Long Beach, CA with the most Intern Python Data Analyst job openings:
Data Analyst I

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

POSITION SUMMARY:  In this role, you will support data analysis, data modeling, and data warehousing efforts that directly impact our business, business partners, and clients in claims, underwriting, and risk assessment strategies. Whether you’re a recent graduate or early in your career, this position offers a strong foundation in data science, data warehousing, and insurance analytics, with opportunities for growth and development.

DUTIES AND RESPONSIBILITIES:

  • Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams.
  • Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling.
  • Clean, organize, and merge structured data from internal and third-party sources.
  • Write queries and scripts using SQL and Python or R to extract and analyze data efficiently.
  • Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning.
  • Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations.
  • Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection.
  • Strong SQL development skillset in Postgres or any RDBMS database, data warehouse experience, Python, or Java core programming as a plus

PREFERRED SKILLS (Not Required)

  • Knowledge of workers’ compensation insurance and claims workflows
  • Internship or project experience in insurance analytics, risk modeling, or predictive modeling.
  • Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO).

QUALIFICATIONS REQUIRED:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 0–3 years of experience in data science, analytics, or insurance-related projects (academic or professional).
  • Familiarity with data tools such as SQL, Python, R, or SAS.
  • Familiarity with Data warehouse techniques and practices
  • Hands on any data warehouse product
  • Exposure to data visualization tools (e.g., Power BI, Tableau).
  • Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts.
  • Ability to work independently and collaboratively with cross-functional teams.

Here are some of the benefits you can enjoy in this role:

  • Medical, Dental, Vision Insurance
  • Life and Disability Insurance
  • 401(k) plan
  • Paid time off
  • Paid holidays

Mental and Physical Requirements:

MENTAL AND PHYSICAL REQUIREMENTS

1. MENTAL EFFORT

a.       Reasoning development::

          Follow one- or two-step instructions; routine, repetitive task.

          Carry out detail but uninvolved written or verbal instructions; deal with a few concrete variables.

          Follow written, verbal, or diagrammatic instructions; several concrete variables.

 X       Solve practical problems; variety of variables with limited standardization; interpret instructions.

          Logical or scientific thinking to solve problems; several abstract and concrete variables.

          Wide range of intellectual and practical problems; comprehend most obscure concepts.

b.       Mathematical development:

          Simple additional and subtraction; copying figures, counting, and recording.

          Add, subtract, multiply, and divide whole numbers.

 X       Arithmetic calculations involving fractions, decimals, and percentages.

          Arithmetic, algebraic, and geometric calculations.

          Advanced mathematical and statistical techniques such as calculus, factor analysis, and probability determination.

 

          Highly complex mathematical and statistical techniques such as calculus, factor analysis, and probability determination; requires theoretical application.

c.       Language development:

          Ability to understand and follow verbal or demonstrated instructions; write identifying information; request supplies verbally or in writing.

          Ability to file, post, and mail materials; copy data from one record to another; interview to obtain basic information such as age, occupation, and number of children; guide people and provide basic direction.

          Ability to transcribe dictation; make appointments and process mail; write form letters or routine correspondence; interpret written work instructions; interview job applicants.

 X       Ability to compose original correspondence, follow technical manuals, and have increased contact with people.

          Ability to report, write, or edit articles for publication; prepare deeds, contracts or leases, prepare and deliver lectures; interview, counsel, or advise people; evaluate technical data.

2. PHYSICAL EFFORT

a.       Physical activity required to perform the job:

          Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

 X       Light work:

a.    Exerting up to 20 pounds of force occasionally b.       Exerting up to 10 pounds frequently

c.    Exerting a negligible amount of force constantly to move objects

(If the use of arm and/or leg controls requires exertion of forces greater than that for Sedentary

Work and the worker sits most of the time, the job is rated for Light Work).

          Medium work:

a.    Exerting up to 50 pounds of force occasionally b.       Exerting up to 20 pounds of force frequently

c.    Exerting up to 10 pounds of force constantly to move objects

          Heavy work:

a.    Exerting up to 100 pounds of force occasionally b.       Exerting up to 50 pounds of force frequently

c.    Exerting up to 20 pounds of force constantly to move objects

 

          Very heavy work:

a.    Exerting in excess of 100 pounds of force occasionally

b.    Exerting in excess of 50 pounds of force constantly to move objects c.       Exerting in excess of 20 pounds of force constantly to move objects

b.       Visual requirements necessary to perform the job:

          Far vision: clarity of vision at 20 feet or more

 X       Near vision: clarity of vision at 20 inches or less

 X       Mid-range vision: clarity of vision at distances of more than 20 inches and less than 20 feet

          Depth perception: the ability to judge distance and space relationships, so as to see objects where and as they actually are

          Color vision: ability to identify and distinguish colors

          Field of vision: ability to observe an area up or down or to the right or left while eyes are fixed on a given point

2. PHYSICAL EFFORT (cont.)

FREQUENCY

c.    Physical activity necessary to perform the job and frequency (e.g., continually, frequently, or occasionally):

      Climbing:       Ascending or descending ladders, stairs, scaffolding, ramps, poles, and

the like, using feet and legs and/or hands and arms. Body agility is emphasized. This factor is important if the amount and kind of climbing required exceeds that required for ordinary locomotion.

      Balancing:       Maintaining body equilibrium to prevent falling when walking, standing, or crouching on narrow, slippery, or erratically moving surfaces. This factor is important if the amount and kind of balancing exceeds that needed for ordinary locomotion and maintenance of body equilibrium.

 X   Stooping:      Bending body downward and forward by bending spine at the waist.

This factor is important if it occurs to a considerable degree and requires full use of the lower extremities and back muscles.

 X  Kneeling:      Bending legs at knee to come to a rest on knee or knees.

 X   Crouching:    Bending the body downward and forward by bending legs and spine.

        Crawling:      Moving about on hands and knees or hands and feet.

 X   Reaching:      Extending hand(s) and arm(s) in any direction.

Occasionally

Occasionally

Occasionally Occasionally Occasionally

 

 X  Standing:        Particularly for sustained periods of time.

 X   Walking:       Moving about on foot to accomplish tasks, particularly for long distances.

 X   Pushing:        Using upper extremities top press against something with steady force in order to thrust forward, downward, or outward.

 X  Pulling:          Using upper extremities to extent force in order to drag, haul, or tug objects in a sustained motion.

        Foot

Motion:          Using feet to push pedals.

 X   Lifting:          Raising objects from a lower to a higher position or moving objects horizontally from position to position. This factor is important if it occurs to a considerable degree and requires substantial use of the upper extremities and back muscles.

 X   Fingering:      Picking, pinching, typing, or otherwise working with fingers rather than with the whole hand or arm as in handling.

 X   Grasping:      Applying pressure to an object with the fingers and palm.

 

Occasionally Occasionally Occasionally

Frequently

Frequently

Occasionally

2. PHYSICAL EFFORT (cont.)

FREQUENCY

 X  Talking:           Expressing or exchanging ideas by means of the spoken word. Those activities in which workers must convey detailed or important spoken instructions to other workers accurately, loudly, or quickly.

 X  Hearing:         Perceiving the nature of sounds with or without correction. Ability to receive detailed information through verbal communication, and to make fine discriminations in sound, such as when making find adjustments on machined parts.

      Feeling:           Perceiving attributes of objects, such as size, shape, temperature, or texture by touching with skin, particularly that of fingertips.

 X  Repetitive      Substantial movements (motions) of the wrists, hands, Motion:          and/or fingers.

Frequently

Frequently

Frequently

3. WORKING CONDITIONS

Disagreeable job conditions to which the employee may be exposed and the frequency (e.g., continually, frequently, or occasionally) of this exposure.

 

WORKING CONDITION ENVIRONMENTAL

FACTOR

NATURE/REASON OF EXPOSURE

FREQUENCY

Dirt/Dust

Noise

Temperature extremes

Dampness

Vibrations

Equipment movement hazard

Chemicals/solvents

Electrical shock

Significant work pace/pressure

Odors/Fumes

Other (specify):