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Data Analyst Data Science Jobs in Columbia, WA (NOW HIRING)

Meta

Data Analyst, Global Operations

Seattle, WA

$125K/yr

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

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 ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities * Analyze data toidentifyor resolve operational problems to create ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Columbia, WA

Data Analyst Data Science information

See Columbia, WA salary details

$41.5K

$100.9K

$166.1K

How much do data analyst data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst data science in Columbia, WA is $100,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $118,500.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

What are popular job titles related to Data Analyst Data Science jobs in Columbia, WA?

For Data Analyst Data Science jobs in Columbia, WA, the most frequently searched job titles are:

What cities near Columbia, WA are hiring for Data Analyst Data Science jobs?

Cities near Columbia, WA with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Columbia, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,938 per year, or $48.5 per hour.

Senior Data Analyst, Media Data Science & Analytics (eCommerce)

Microsoft Corporation

Redmond, WA • On-site

$96K - $121K/yr

Other

Posted yesterday

New

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies

Job description

Overview
We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.
We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy. To support this transformation, we are seeking a Senior Data Analyst, Media Data Science & Analytics (eCommerce) to serve as the analytical engine behind Microsoft's eCommerce business.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our culture embraces a growth mindset, collaboration, and inclusion, where everyone can thrive.
Responsibilities
  • Dashboards & Self-Serve Analytics - Build and maintain dashboards, reports, and self-serve analytics that give eCommerce, web, and marketing partners timely, accurate visibility into commerce performance across Microsoft's owned digital storefronts - so they can focus on acting on insights rather than wrangling data.

  • Funnel Measurement - Analyze the web and eCommerce journey - from acquisition and on-site engagement through sign-up, checkout, conversion, and revenue - connecting customer behavior to the durable business outcomes our partners own, such as gross adds, conversion, and revenue.

  • Deep-Dive Analysis - Investigate revenue, product and offer performance, customer behavior, and operational efficiency to surface actionable insights for partners, proactively bringing trends, anomalies, and opportunities forward without waiting to be asked.

  • Trustworthy Data Foundation - Integrate data from multiple sources and partner closely with Data Engineering, Finance, Web data teams, and other partners to define metrics, validate data quality, and ensure analytical outputs are built on a reliable, well-modeled, analytics-ready single source of truth.

  • Metric & Reporting Standards - Help establish consistent Key Performance Indicator (KPI) and metric definitions, reporting standards, and documentation practices that scale as the analytics function and its self-serve tools grow - so partner teams work from the same metrics language.

  • Performance Driver Analysis - Identify and quantify drivers of performance change - including product and offer launches, merchandising and promotional changes, technical factors, seasonal patterns, and external events - so partners know what's real and what to act on.

  • Experimentation - Support experimentation - such as A/B tests and web experience changes - to evaluate the impact of eCommerce improvements and give partners confidence in what to scale.

  • Work Smarter with AI - Leverage AI-assisted and agentic tools such as Microsoft Copilot to accelerate analysis, automate recurring reporting workflows, and move from manual, reactive reporting toward proactive, scalable insight that reaches partners faster.

  • Translate, Communicate & Partner - Turn ambiguous business questions into structured analytical frameworks, deliver clear findings to both technical and non-technical audiences through recurring readouts and deep-dive investigations, and collaborate cross-functionally with eCommerce, web experience, engineering, and marketing partners to prioritize improvements grounded in data.
  • Other - Embody our Culture and Values

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
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ 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 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.
  • Experience querying and analyzing large datasets using SQL. Experience integrating data from multiple sources and validating data quality.
  • Experience communicating analytical insights to stakeholders to inform decisions.
  • Experience measuring web or eCommerce performance - such as acquisition, engagement, conversion, or revenue.
  • Experience building dashboards or reusable reporting assets (e.g., Power BI).
  • Experience enabling stakeholders through self-serve analytics and reporting. Experience using Python or similar tools for analysis or automation.
  • Experience using Adobe Analytics or similar tools for measuring digital customer journeys.
  • Familiarity with experimentation or attribution concepts.
  • Experience using AI-assisted analytics tools (e.g., Microsoft Copilot) to accelerate analysis and automate reporting.
  • Experience establishing KPI or metric definitions, reporting standards, or documentation for a growing analytics function.

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:
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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

Sourced by ZipRecruiter

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

Social media

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