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Intern Python Data Analyst Jobs in Seattle, WA (NOW HIRING)

Truveta

Research Analyst Summer Intern

Seattle, WA · On-site

$20/hr

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... Experience with data analysis using tools such as R, Python, SQL, or similar. * Basic understanding ...

Truveta

Research Analyst Summer Intern

Seattle, WA · Hybrid

$20/hr

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... Experience with data analysis using tools such as R, Python, SQL, or similar. * Basic understanding ...

Hasbro

Principal Data Analyst - D&D

Renton, WA · Hybrid

Proficiency in SQL and statistical programming in Python or R, plus strong Excel skills for business-facing analysis and reconciliation. * Experience working with modern data stacks and analytics ...

PeopleConnect

Senior Financial Data Analyst

Bellevue, WA · On-site

$141K - $180K/yr

We are looking for a Senior Financial Data Analyst to serve as a collaborative advisor to finance ... Identify opportunities to use scripting (Python/SQL/AI tools) to automate manual data collection ...

Hasbro

Principal Data Analyst - D&D

Renton, WA · On-site

$160K - $240K/yr

Proficiency in SQL and statistical programming in Python or R, plus strong Excel skills for business-facing analysis and reconciliation. * Experience working with modern data stacks and analytics ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Python 4-5 years * Data Modeling 3 years * Marketing 2 years Responsibilities * Build subject ... Identify and analyse multi-structured data or metadata from a variety of sources to select and ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Seattle, WA

Intern Python Data Analyst information

See Seattle, WA salary details

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

As of Jul 21, 2026, the average hourly pay for intern python data analyst in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 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 Seattle, WA? The most popular types of Python Data Analyst jobs in Seattle, WA are:
Intern Python Data Analyst jobs near you
Senior Market Data Analyst

Senior Market Data Analyst

Russell Investments

Seattle, WA • On-site

$85K - $100K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago

Job description

Salary Range:
$85,000 USD - $100,000 USD
Specific compensation will be based on candidate's experience, skills, qualifications, commercial considerations, and other job-related factors permitted by law. At Russell Investments, salary is just one part of our compensation package. Our total rewards approach includes an annual performance bonus (subject to eligibility criteria) in addition to participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs.
Job Description:
We are seeking a Market Data Analyst to join our Enterprise Data Technology team. This role focuses on delivering scalable, high-quality market and index data solutions that support investment decision-making across the firm. The position offers exposure to multiple data vendors, platforms, and business-critical use cases within a fast-paced asset management environment.
Key Responsibilities
  • Manage relationships with market data and index vendors, specifically focusing on oversight of service delivery, performance, change management and vendor risk
  • Conduct vendor due diligence and ongoing evaluations to ensure quality, reliability, and compliance with contractual obligations
  • Partner with investment teams to gather requirements, resolve data issues, and align solutions with evolving business needs
  • Support data governance efforts, including data quality, lineage, and consistency across platforms
  • Contribute to market data contract negotiations, including analysis of licensing terms, usage rights, and commercial structures
  • Advise internal stakeholders on market data licensing considerations for new products, enhancements, and client use cases
  • Collaborate with cross-functional teams (Investment Division, Performance & Reporting, Risk, Legal) to deliver compliant, scalable data solutions
  • Monitor industry trends and vendor offerings to inform strategy, negotiations, and risk management
  • Identify and drive improvements in operating models, processes, and controls across market data services

Qualifications
  • Bachelor's degree in Finance, Economics, or a related field

Required Skills & Experience
  • 3-5 years of experience in market data, investment data, or related analytical roles
  • Foundational understanding of market data vendors (e.g., MSCI, FTSE Russell, Bloomberg), their methodologies, data products and general taxonomy
  • Understanding of key investment data domains, including security master, index data, positions (IBOR/ABOR), trades, performance, and analytics
  • Proficiency in SQL; experience with Python is a plus
  • Experience with modern data platforms and tools (e.g., Snowflake, dbt, Fivetran)
  • Strong analytical skills with high attention to detail
  • Ability to work effectively across business and technology teams

Core Values
  • Strong interpersonal, oral, and written communication and collaboration skills with all levels of the organization.
  • Strong organizational skills including the ability to adapt to shifting priorities and meet frequent deadlines.
  • Demonstrated proactive approach to problem-solving with strong judgment and decision-making capability.
  • Highly resourceful and collaborative team-player, with the ability to also be independently effective and exude initiative and a sense of urgency.
  • Exemplifies our customer-focused, action-oriented, results-driven culture.
  • Forward looking thinker, who actively seeks opportunities, has a desire for continuous learning, and proposes solutions.
  • Ability to act with discretion and maintain complete confidentiality.
  • Dedicated to the firm's values of non-negotiable integrity, valuing our people, exceeding client expectations, and embracing intellectual curiosity and rigor.

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.
Equal Employment Opportunity
Russell Investments is committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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