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

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 ...

(USA) Senior, Data Scientist

Bellevue, WA ยท On-site

$108K - $216K/yr

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 ...

Data Scientist

Renton, WA ยท 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 ยท 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 ยท 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 ...

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 ...

We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will ... impact analysis, and feature stability review. * Use supervised, unsupervised, statistical, and ...

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Showing results 1-20

Data Analytics Supervisor information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do data analytics supervisor jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data analytics supervisor in Seattle, WA is $110,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

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

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.

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

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What is the role of a data analytics supervisor?

A data analytics supervisor oversees data analysis teams, manages data collection and interpretation, and ensures accurate reporting to support business decisions. They often use tools like SQL, Excel, and data visualization software, and require strong leadership and analytical skills. The role involves coordinating projects, maintaining data quality, and implementing best practices in data management.

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

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

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

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

$89.56 - $143.31/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


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 Associationโ€™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
  • Bachelorโ€™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 openโ€‘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 computerโ€‘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 computerโ€‘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, coโ€‘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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