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Data Analyst Supervisor Jobs in Seattle, WA (NOW HIRING)

Data Analyst II

Renton, WA · On-site

$81K - $129K/yr

Perform other duties as assigned by supervisor. Must have's you'll need to be successful ... Data Analysis (PL-300) Proof of vaccination for COVID-19 is required, prior to start. HealthPoint ...

Data Analyst II

Renton, WA · On-site

$81 - $129/hr

Perform other duties as assigned by supervisor. Must have's you'll need to be successful ... Data Analysis (PL-300) Proof of vaccination for COVID-19 is required, prior to start. HealthPoint ...

New

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

... Data Analyst or Associate Data Scientist required; previous Data Science experience preferred. * Experience with SQL, Python, and GitHub required. * Experience using supervised and unsupervised ...

Data Scientist

Renton, WA

$104K - $146K/yr

... Data Analyst or Associate Data Scientist required; previous Data Science experience, preferred. * Experience with SQL, Python, and GitHub required. * Experience using Supervised and Unsupervised ...

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

... Data Analyst or Associate Data Scientist required; previous Data Science experience, preferred. * Experience with SQL, Python, and GitHub required. * Experience using Supervised and Unsupervised ...

Data Scientist

Renton, WA

$104K - $146K/yr

... Data Analyst or Associate Data Scientist required; previous Data Science experience, preferred. * Experience with SQL, Python, and GitHub required. * Experience using Supervised and Unsupervised ...

As a Data Scientist on this team, you will design and analyze experiments, build evaluations for AI ... other employees, supervisors, and staff; adhere to standards of excellence despite stressful ...

Data Analytics Engineer

Bellevue, WA · On-site +1

$129K - $155K/yr

SUPERVISORY RESPONSIBILITIES None MINIMUM QUALIFICATIONS Education -- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent preferred Experience -- 0-2 years in data ...

Data Analytics Engineer

Bellevue, WA · On-site +1

$129K - $155K/yr

SUPERVISORY RESPONSIBILITIES None MINIMUM QUALIFICATIONS Education -- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent preferred Experience -- 0-2 years in data ...

... supervised and unsupervised and deep learning. * Hands on experience in Computer Visions and NLP. Gen AI, Agentic AI * Lead,mentorandgrow a team of data scientists, ML engineers and data analysts ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Experience in building large scale ML systems involving machine learning, supervised and ... Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to ...

Experience in Analyzing the Complex Problems and translate it into data science algorithms * Experience in machine learning, supervised and unsupervised and deep learning. * Hands on experience in ...

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Data Analyst Supervisor information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do data analyst supervisor jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst supervisor in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What does a data analyst supervisor do?

A Data Analyst Supervisor oversees a team of data analysts to ensure the accurate collection, analysis, and interpretation of data within an organization. They are responsible for managing projects, setting priorities, and ensuring that data-driven insights support business decisions. Additionally, they provide mentorship, review analytical work for quality, and collaborate with other departments to align data initiatives with organizational goals. Their role often includes developing data policies, implementing best practices, and facilitating training to improve team performance.

How does a data analyst supervisor balance hands-on data analysis with team management responsibilities?

A Data Analyst Supervisor often splits their time between directly supporting complex data projects and guiding their team’s day-to-day activities. While they are still involved in high-level data analysis and validation, a significant portion of their role includes mentoring analysts, managing project timelines, and ensuring quality standards are met. Effective supervisors delegate routine tasks, provide training, and facilitate collaboration with other departments, such as IT or business units. This balance allows them to maintain technical expertise while fostering team growth and ensuring project success.

What are the key skills and qualifications needed to thrive as a data analyst supervisor, and why are they important?

To thrive as a Data Analyst Supervisor, you need strong analytical skills, experience in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s or master’s degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL databases, and knowledge of programming languages like Python or R is typically required. Leadership, effective communication, and mentoring abilities are essential soft skills for guiding teams and translating complex data insights to stakeholders. These skills ensure accurate data-driven decision-making, team effectiveness, and clear communication of findings in organizational settings.

What is the difference between Data Analyst Supervisor vs Data Analyst?

AspectData Analyst SupervisorData Analyst
CredentialsBachelor's degree in data science, statistics, or related field; experience in data analysis; leadership skillsBachelor's degree in data science, statistics, or related field; proficiency in data tools
Work EnvironmentOversees data teams, manages projects, collaborates with managementPerforms data collection, analysis, and reporting tasks
Employer & Industry UsageUsed in organizations with data teams, across industries like finance, healthcare, techCommonly employed in similar industries, often as entry to mid-level roles

The main difference between a Data Analyst Supervisor and a Data Analyst lies in leadership responsibilities. The supervisor oversees data teams, manages projects, and collaborates with management, while the Data Analyst focuses on performing data analysis and reporting tasks. Both roles require similar educational backgrounds and technical skills, but the supervisor position involves additional leadership and management duties.

What are popular job titles related to Data Analyst Supervisor jobs in Seattle, WA?

For Data Analyst Supervisor jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Supervisor jobs in Seattle, WA look for?

The top searched job categories for Data Analyst Supervisor jobs in Seattle, WA are:

Infographic showing various Data Analyst Supervisor job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

$89.56 - $143.31/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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Job description

Job Title

Senior Data Analyst

Location

WSHA Legal Address - Seattle, WA 98101-3232

Job Details

Position Type: Full Time
Education Level: 4 Year Degree
Salary Range: $89,556.00 - $143,310.00
Travel Percentage: Negligible
Job Category: Information Technology

Hybrid Work Opportunity

Hybrid work arrangement is available.

Benefits

Medical, Dental, Vision, Life, LTD, ADD, Supplemental Life and ADD, FSA (Dependent/Health), Safe Harbor 401K with Match, Vacation 2-4 weeks, End of year Wellness Week from 12/25 and 1/2, 9 Holidays, 2 Personal Holidays, EAP, and Travel Assistance.

Function / General Scope

The Senior Data Analyst gathers requirements, develops and prepares information, and analyzes health care discharge data, quality, and financial data from conceptualization through dashboard delivery to members. The role leads data collection, data structuring, querying, and dashboarding.

Position Summary

As directed by leadership, this position interprets and provides complex data analysis, specialized reports, dashboards, and ensures highly reliable and accurate data. Responsibilities include developing visualizations, collaborating with members on product logistics, delivering content through Tableau Server & Interworks, and creating educational materials for training on data analysis and measure definitions.

Essential Duties and Responsibilities
  • Perform complex data analysis and reporting to support Association staff and members.
  • Gather requirements from stakeholders and enhance analysis with additional insights.
  • Develop, prepare, and present specialized reports and dashboards for dissemination to Association members at state, hospital, and unit level.
  • Analyze data and provide various reports for different scenarios to reflect solutions/recommendations in response to anticipated and unanticipated fluctuations for members, interpreting data analysis and developing related communications.
  • Support monthly data collection process, and continuously address and clarify data related inquiries as needed.
  • Perform routine data validation and integrity checks with fully documented processes to ensure highly reliable data accuracy.
  • Develop new dashboards and visualizations to help communicate and clarify the data.
  • Research new data sources and healthcare trends to continuously develop the Association’s reporting capacity.
  • Develop appropriate methodologies for collecting, analyzing, and presenting data.
  • Efficiently query and structure the data to be integrated in Tableau dashboards.
  • Make recommendations to enhance data structures within Snowflake.
  • Create educational materials and conduct training on understanding data, analysis, and definition of the measures one-on-one and in groups.
  • Engage members and staff through targeted communication, listening sessions, and online or in-person trainings to improve utilization of dashboards and other content.
  • Conduct individual project reviews, as required, to assess overall project quality, efficiency, and compliance with requirements.
  • Advise data analysts on their projects and provide feedback when directed by Senior Director.
  • Work with customers to develop and understand product specifications.
  • Provide technical support, including troubleshooting with users.
  • Support Association executive leadership with data analysis and logistics.
  • Identify opportunities for performance improvement through data analysis and address risks or potential issues that might impact Association members.
  • Recommend innovative ideas, processes and/or procedures for enhancements, and modifications to improve existing systems.
  • Perform other duties as assigned.
Qualifications

This position does not have any supervisory responsibilities.

Education and Experience
  • Bachelor’s degree in a related field is required at the time of hire.
  • Minimum of four years data analysis experience in a professional office setting.
  • Proficient with database applications (Snowflake, SQL Server, or Redshift, etc).
  • Advanced skills in SQL (T-SQL, MySQL, or PostgreSQL, etc).
  • Advanced skills in visualization applications (Tableau, PowerBI, Looker, etc).
  • Proficiency with open‑source coding languages (Python, R, etc).
  • Experience working with APIs.
Skills & Abilities
  • Proficiency with a variety of information systems and data files, including large and complex files, analyzing file structure, using and creating file layouts, transforming raw data into finished products.
  • Ability to work independently, with experience working in a team environment.
  • Demonstrates strong conceptual and critical thinking skills.
  • Ability to navigate a variety of technological and computer‑based tools including printers/copiers, internal database and phone/web conferences.
  • Demonstrate analytical and conceptual skills, knowledge of healthcare domain and clinical data sets and the ability to balance theory with practical reality.
  • Maintains a high degree of professional excellence characterized by sound independent judgment, initiative, and a high standard of ethics.
  • Possess outstanding written and oral communication skills.
  • Possess a strong attention to detail and the ability to organize and prioritize assignments.
  • Strong customer service orientation, with high degree of professionalism.
  • Ability to navigate a variety of technological and computer‑based tools.
  • Comfortable giving and receiving feedback in a constructive manner to colleagues and supervisors.
  • Ability to communicate and interact with people from diverse backgrounds in a sensitive and positive manner.
  • Ability to deal simultaneously with several issues or problems.
  • Ability to appropriately represent WSHA as necessary both verbally and in writing.
  • Ability to communicate professionally and effectively both orally and in writing.
  • Ability to provide quality customer service.
  • Ability to work collaboratively with colleagues, co‑workers, and members.
Physical Demands and Work Environment

The position requires frequent use of a computer and exposure to a normal office environment. The employee is required to talk and hear on the telephone and in person with individuals and groups. The work is typically performed in an office environment with a moderate noise level. The staff member attends core business hours and occasionally extends beyond the standard business day.

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