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Data Analytics Virtual Internship Jobs in Seattle, WA

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

... prior roles, internships, or coursework. * Experience with Python, R, or another scripting ... Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 ...

Meta

Data Analyst, Global Operations

Seattle, WA

$125K/yr

Champion the adoption and integration of AI tooling within analytics workflows, educating and ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... interns in the areas of natural language processing, natural language generation, and deep learning ... Your scope will reach from text classification problems over big data analytics to A/B testing and ...

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Data Analytics Virtual Internship information

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$13

$25

$47

How much do data analytics virtual internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics virtual internship 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 is a data analytics virtual internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What types of real-world projects can I expect to work on during a data analytics virtual internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

What is the difference between Data Analytics Virtual Internship vs Data Analyst?

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

What are the key skills and qualifications needed to thrive as a data analytics virtual intern?

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.
What are popular job titles related to Data Analytics Virtual Internship jobs in Seattle, WA? For Data Analytics Virtual Internship jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Virtual Internship jobs in Seattle, WA look for? The top searched job categories for Data Analytics Virtual Internship jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Analytics Virtual Internship jobs? Cities near Seattle, WA with the most Data Analytics Virtual Internship job openings:
Data Analytics Virtual Internship jobs near you
Infographic showing various Data Analytics Virtual Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Temporary. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Senior Manager - Data Analytics

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 8 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

Overview
Microsoft's Audit, Risk and Compliance (ARC) organization is building a data-driven capability to complement traditional assurance work. This role is focused on proactive discovery: identifying emerging risks, "soft" signals, and systemic patterns by connecting data across organizational seams that complements traditional audit coverage models.
As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to surface insights that are not readily visible - translating raw signals from audit findings, ethics and compliance data, investigation outcomes, and management actions into forward-looking risk intelligence.
This is not a traditional audit, reporting, or business intelligence role. This Senior Manager - Data Analytics role is designed to help ARC answer the question: "Where should we be looking that we aren't today?" Success will depend as much on curiosity, contextual judgment, and speed of iteration as on technical skill.
Responsibilities
  • Analyze large and diverse datasets across ARC - including audit findings, ethics and compliance signals, investigation data, and management action items - to uncover risk signals and patterns not visible through standard coverage approaches.
  • Develop and test analytical hypotheses in a rapid, experimental model; iterate on approaches across weeks rather than quarters and document learnings from both successful and unsuccessful analyses.
  • Connect disparate data sources across organizational boundaries to surface systemic risks, emerging trends, and areas that warrant proactive audit attention.
  • Apply a "red team" lens to ARC's risk landscape: scan broadly across data, generate new hypotheses about where risk may be concentrating, and present findings that challenge existing assumptions.
  • Determine appropriate analytical and statistical techniques to address audit and risk research questions; execute analyses and interpret results with clear, actionable recommendations.
  • Build and maintain reusable analytical frameworks, models, and self-service reporting solutions that improve ARC's ongoing visibility into enterprise risk.
  • Evaluate data quality, integrity, and fitness-for-purpose prior to analysis; independently address or escalate data issues in partnership with Data Engineering and other teams.
  • Translate analytical findings into clear risk narratives - presenting insights through dashboards, visualizations, reports, and talking points tailored to audit, compliance, and leadership audiences.
  • Share and simplify complex analyses into accessible summaries that enable decision-makers to act on data-driven recommendations quickly.
  • Work within and across teams - including audit leads, investigation teams, compliance operations, and data engineering - to align data sources, methodologies, analytical tools, and business priorities.
  • Support and advise on the design of formal experiments or analytical frameworks to evaluate the impact of new audit approaches, risk controls, or operational changes.
  • Adhere to Microsoft's data privacy and security requirements, responsible AI practices, and classification and governance standards throughout all analytical work.
  • Embody Microsoft's culture and values, modeling a growth mindset, curiosity, and a commitment to inclusion.

Qualifications
Required/minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.

Additional or preferred qualifications
  • Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations - through prior roles, internships, or coursework.
  • Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation.
  • Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent).
  • Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks, Azure Data Lake, or equivalent).
  • Experience identifying patterns or signals in unstructured or cross-domain data; comfort with exploratory data analysis without predefined hypotheses.
  • 1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field - including experience analyzing datasets to answer business or research questions.
  • Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources.
  • Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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