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Associate Degree In Data Analytics Jobs in Seattle, WA

Microsoft

Senior Manager - Data Analytics

Redmond, WA · On-site

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 ...

Peterson Company

Data Analyst

Auburn, WA · On-site

$70K - $140K/yr

Bachelor's degree in Data Analytics, Business, Marketing, Economics, or related field * 2-5+ years of experience in data analytics, preferably in CPG, food distribution, or retail * Strong experience ...

Coupang Internal

Senior Data Analyst

Seattle, WA

$97K - $123K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Coupang

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Coupang

Senior Data Analyst

Seattle, WA

$114K - $196K/yr

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of experience in data analytics, business intelligence, or quantitative ...

Munich Re

Technical Architect - Data, Analytics & AI

Kent, WA · Hybrid

$72 - $92.50/hr

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Hasbro

Manager, Data Analytics

Renton, WA · On-site

Bachelor's or Master's degree in Analytics, Data Science, Economics, or a related field (or equivalent experience). * Strong SQL skills and familiarity with modern data stack tools (Snowflake, dBT ...

Hasbro

Manager, Data Analytics

Renton, WA · On-site

Bachelor's or Master's degree in Analytics, Data Science, Economics, or a related field (or equivalent experience). * Strong SQL skills and familiarity with modern data stack tools (Snowflake, dBT ...

WilsonCTS

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related field. * Experience supporting PLM implementations or PLM environments. * Experience with Windchill or ...

Hasbro

Data Analytics Manager

Renton, WA

What You'll Do: * Analyze - Work with business partners to deep dive into profitability ... Bachelor's degree in finance, business, data science, economics, or another quantitative field.

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Associate Degree In Data Analytics information

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How much do associate degree in data analytics jobs pay per month?

As of Aug 6, 2026, the average monthly pay for associate degree in data analytics in Seattle, WA is $7,158.92, according to ZipRecruiter salary data. Most workers in this role earn between $6,500.00 and $7,633.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
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Associate Degree In Data Analytics jobs near you

Senior Manager - Data Analytics

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 4 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

77th 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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