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Intern Python Data Analyst Jobs in Long Beach, CA

SKIMS

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 ...

SKIMS

Senior Data Analyst

Los Angeles, CA

$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 ...

PM2CM

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.

PM2CM

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.

PM2CM

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.

SolluCIO Partners

Senior Data Analyst

Los Angeles, CA · On-site

$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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... 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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... 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 ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with Microsoft SharePoint and the broader Microsoft ...

Vaco LLC

Data Analyst

Irvine, CA

Data Analyst Location: 5 days on-site in St. Louis, MO Duration: Direct-hire Opportunity What You ... Python and Jupyter Notebooks Ability to analyze, organize and shift priorities to meet the needs ...

Vaco LLC

Data Analyst

Irvine, CA

Data Analyst Location: 5 days on-site in St. Louis, MO Duration: Direct-hire Opportunity What You ... Python and Jupyter Notebooks Ability to analyze, organize and shift priorities to meet the needs ...

Apex Systems

Data Analyst

Santa Monica, CA · On-site

Job#: 3030078 We are looking for an experienced Data Analyst to join our team! This role requires ... Python experience writing, managing and deploying code EEO Employer Apex Systems is an equal ...

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

$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 ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Long Beach, CA

Intern Python Data Analyst information

See Long Beach, CA salary details

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

As of Jun 9, 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
Senior Data Analyst

Senior Data Analyst

SKIMS

Los Angeles, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Skims rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Senior Data Analyst
Department: Data, Insights and Loyalty
Employment Type: Full Time
Location: Los Angeles HQ
Compensation: $130,000 - $150,000 / year
Description
SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In this role, you will partner closely with a key business function (areas could include Performance Marketing, Product Planning, Merchandising, Operations, or Production) with the final placement informed by your background and where your expertise will have the greatest impact. You will work as part of a collaborative data team while serving as the analytical point of contact for your stakeholders, translating complex data into clear, actionable insights that drive real decisions.
Key Responsibilities
  • Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations.
  • 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 predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
  • Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends.
  • Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders.
  • Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability. Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts.
  • Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
  • Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making.
  • Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
  • Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team's capabilities.

Skills, Knowledge and Expertise
  • Strong analytical instincts with the technical skills to back them up. You can access, transform, and model data independently and know how to turn ambiguous questions into structured analysis.
  • A natural communicator and business partner. You don't just produce analysis, you influence decisions. You're comfortable presenting to leadership and translating technical findings into clear business narratives.
  • Curious and self-directed. You thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
  • A team builder at heart. You take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.

Requirements:
  • Bachelor's degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role. Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus.

Experience must include:
  • Accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems.
  • Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis. Designing and measuring experiments, including A/B tests, to evaluate business initiatives.
  • Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
  • Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.

Benefits, Culture and Perks
Benefits and Culture
  • Up to 100% Company Paid Healthcare (medical, dental, vision)
  • Kind Body Fertility Benefits
  • 401(k) savings plan with up to 4% match
  • Unlimited PTO
  • Full Access to LinkedIn learning
  • Employee Discounts

Perks (HQ Location)
  • Free weekly catered lunch at HQ - M/T/W/Th
  • Dog-Friendly office on a Thursday and Friday
  • Free Swag Giveaways
  • Annual Holiday Party
  • Annual Summer Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages

Apply