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Assistant Data Analytics Jobs in Seattle, WA (NOW HIRING)

Maintain metadata and best practices to support systems and data * Assist in the preparation of various analytical reports and monthly progress reports suitable for meetings * Exercise responsible ...

Maintain metadata and best practices to support systems and data * Assist in the preparation of various analytical reports and monthly progress reports suitable for meetings * Exercise responsible ...

Technical Architect - Data, Analytics & AI

Kent, WA · Hybrid

$72 - $92.50/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Collaborate with business users and IT teams to execute data corrections and mass updates. * Assist ... Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related ...

... * Assist with gathering customer requirements to meet business objectives * Develop data analytics capabilities in Python to solve business problems * Partner with the enterprise business functions ...

Data Scientist

Everett, WA · On-site

$138K - $170K/yr

... * Assist with gathering customer requirements to meet business objectives * Develop data analytics capabilities in Python to solve business problems * Partner with the enterprise business functions ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are Assistant Data Analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an Assistant Data Analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an Assistant Data Analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Seattle, WA? The most popular types of Data Analytics jobs in Seattle, WA are:
Infographic showing various Assistant Data Analytics job openings in Seattle, WA as of July 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.
Senior Data Scientist, Product Analytics

Senior Data Scientist, Product Analytics

Adobe

Seattle, WA • On-site

Full-time

Re-posted 6 days ago


Job description

The Adobe Digital Imaging Data Science Team is looking for a Senior Data Scientist passionate about data and delivering an outstanding product experience. We use extensive product usage data and work closely with product managers, marketing managers, and software engineers to derive insights and build a foundation for reliable data-driven decision-making. You will focus on initiatives like product analytics, dashboards, data engineering, GTM analytics, growth and more. Your main role is to develop and maintain a strong data architecture that enhances reporting, analytics, and experimentation. Over time, you will apply predictive modeling and machine learning to help the organization improve customer experiences. Join us and drive meaningful change in Adobe's most exciting areas!

Responsibilities:
  • Partner with product and engineering teams to understand existing product instrumentation and help bridge gaps in data streams to assist data science initiatives.
  • Analyze product usage patterns to better understand customer behavior including acquisition, engagement, conversion, and retention.
  • Proactively identify user trends and communicate relevant insights to assist product decision-making.
  • Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks.
  • Build and maintain various dashboards to inform the team about the state of the business, as well as to alert business partners when issues occur.
  • Architect and implement models to recommend personalized in-app content.
  • Drive A/B and multivariate tests and build feature-level experiments to validate hypotheses and influence product development decisions.
Requirements:
  • MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics, or equivalent experience.
  • 5 - 7+ years of relevant data science experience.
  • Experience translating business questions into data analytics approaches.
  • Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.).
  • Experience developing and operationalizing consistent approaches to experimentation, using appropriate statistical techniques to reduce bias and interpret statistical significance.
  • Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses.
  • Experience crafting data visualizations and storytelling to efficiently communicate analysis results to both technical and non-technical audiences.
  • Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI.
  • Experience in product instrumentation is a plus.
  • Possess natural curiosity and technical competence, being capable of asking critical questions and always ready to address any challenges.
  • Experience addressing an executive level audience.
  • Excellent communication, relationship skills, and a strong teammate.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $133,100 -- $236,400 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400 In Washington, the pay range for this position is $157,900 - $228,575

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982