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Intern Python Data Analyst Jobs in Concord, CA (NOW HIRING)

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... Python, etc.) - Experience with product and marketing analytics and digital optimization tools ...

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

... actional analytics to improve operational efficiencies. We are the proud partner of over 30 ... Position Overview: retailcloud is seeking a Data Anyltics Intern to work with large and complex ...

Data Scientist

San Francisco, CA · On-site +1

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

Data Scientist

San Francisco, CA · On-site +1

$110K - $150K/yr

Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python. * Prior exposure to ...

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

... BI, Python, and external data sources, to solve complex business problems and continuously improve analytical capabilities. • Recommend new metrics, analytical approaches, and measurement ...

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

(USA) Principal, Data Analyst

Hayward, CA · On-site

$117K - $234K/yr

Strong SQL and Python skills , with experience working with large-scale behavioral, transactional ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

New

Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop ... Prepare and deliver data and reporting solutions supporting month-end close, regulatory ...

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Intern Python Data Analyst information

See Concord, CA salary details

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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 Concord, CA is $24.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $26.92 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 cities near Concord, CA are hiring for Intern Python Data Analyst jobs? Cities near Concord, CA with the most Intern Python Data Analyst job openings:
Sr. Data Analyst

Sr. Data Analyst

Thunkable

San Francisco, CA • Remote

$90K - $130K/yr

Full-time

Medical, PTO

Re-posted 17 days ago


Job description

Role Overview
 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you'll not only analyze data to generate insights but also help connect and organize data from multiple sources-such as product analytics, marketing platforms, payments, and user systems-into a more complete and reliable view. We're looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
 
Key Responsibilities
 
- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
 
Required Qualifications
 
- BA/BS degree or above in a related field or equivalent experience required.
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
- Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
- You have strong analytical and problem-solving skills, with a keen attention to detail.
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
- You are a self-starter who thrives in a start-up environment and has a strong follow-through.
 
Preferred Qualifications
 
- Experience with improving data pipelines, data storage and analytical frameworks.
- Event tracking (eg. Javascript, Google tag manager)
- Javascript and React.
$90,000 - $130,000 a year
Life at Thunkable
 
Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.
 
Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.
 
What You'll Get:
- Competitive compensation, equity, and unlimited PTO
- Health, wellness, and training budget
- Global remote flexibility
- The opportunity to directly influence the future of no-code and AI-driven app development
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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