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Intern Python Data Analyst Jobs in Long Beach, CA

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Proficiency in 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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Proficiency in 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 ...

CHAOS Industries

People Data Analyst

Hawthorne, CA · On-site

$150K - $200K/yr

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

CHAOS Industries

People Data Analyst

Hawthorne, CA

$150K - $200K/yr

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

AEG

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

The Sr Data Analyst role focuses on analyzing customer behavior and engagement, visualizing key ... Python is a plus • Comfortable adopting new technologies and eager to understand how to ...

AEG

Sr Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

The Sr Data Analyst will analyze customer behavior and engagement, visualize key metrics, and ... Python is a plus • Comfortable adopting new technologies and eager to understand how to ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

Molina Healthcare

Senior Data Analyst

Long Beach, CA

$93K - $118K/yr

With limited supervision, the Sr. Analyst, Data is responsible for data compilation, data ... Experience using technical tools such as Python To all current Molina employees: If you are ...

Molina Healthcare

Senior Data Analyst

Long Beach, CA · On-site +1

$54K - $117K/yr

With limited supervision, the Sr. Analyst, Data is responsible for data compilation, data ... Experience using technical tools such as Python To all current Molina employees: If you are ...

iSpace, Inc

Senior Data Analyst

Los Angeles, CA · Hybrid

$92K - $116K/yr

Senior Data Analyst Location: Century City, CA (Remote / Hybrid role 1-2 days onsite, 3-4 days ... SQL, Python, Tableau, Looker and Excel * Deep understanding of linear / digital platforms and ...

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

Judit Inc

Sr. Data & Reporting Analyst

Santa Ana, CA

$89K - $112K/yr

Python * Data Modeling * Tableau Top 4 things to focus on: * Experience in logistics, distribution ... Report automation & design The Sr. Data & Reporting Analyst is responsible for all points of data ...

CarParts.com

Senior Data Analyst

Long Beach, CA · On-site

$94K - $119K/yr

Proficiency in Python, including Pandas, NumPy, and data visualization libraries * Solid experience with SQL * Strong analytical skills with exceptional attention to detail * Ability to manage ...

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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 Jun 13, 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:
Intern Python Data Analyst jobs near you

Field Data Analyst

FieldAI

Irvine, CA • On-site

$75K - $115K/yr

Full-time

Posted 19 days ago

Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
Who are We?
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Learn more at https://fieldai.com.
About the role:
We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.
The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.

Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in 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

Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders

$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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