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Data Analyst Jobs in Spokane, WA (NOW HIRING)

Data Analyst information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst in Spokane, WA is $83,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in Spokane, WA? The most popular types of Data Analyst jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Data Analyst jobs? Cities near Spokane, WA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,559 per year, or $40.2 per hour.

$31.88 - $47.83/hr

Full-time

Medical, Life, Retirement

Posted 14 days ago


Job description

The Business Data Analyst works closely with business lines to solve complex data and process improvement problems. Helps to define problem, data needs and definitions to make recommendations on a solution. Supports the delivery of tools that will scale and bring clarity to business line needs. Partners with Business Intelligence, Software Development teams and other business line analysts on solutions. This role requires a unique combination of skills: strong business acumen with a history of using data to solve business problems, deep analytical ability, a strategic and process improvement mindset as well as the ability translate data needs and encourage the use of data to guide decision making. This position acts as the subject matter expert responsible for analyzing business requirements and problems to recommend solutions, data requirements, and operational solutions, in partnership with stakeholder departments. Must be able to communicate clearly and effectively with both technical and non-technical individuals.

Essential Functions:

  • Analyzes business requirements to design and develop optimal technical solutions using database and software development tools and methodologies.
  • Strong aptitude to identify process and operational improvement themes to support data and reporting requests.
  • Executes data analytics models with effective and practical short- and long-term actionable solutions.
  • May collaborate with business users to better understand needs and develop well defined business requirements.
  • May lead or support business line development efforts of reports and dashboards, by clearly defining and documenting data use, data source and function in support of the data program.
  • Ability to prioritize assignments and handle multiple priorities while maintaining a high level of service to clients in a deadline driven environment under the direction of management.
  • Achieves business goals by fostering innovation and coordinating the evaluation, deployment, and management of current and future solutions.
  • Assists in establishing and developing appropriate implementation methodology to successfully develop and deploy the solution.
  • Conducts review of deliverables to ensure quality and standard process adherence.
  • Prepares findings for decision-makers. May interpret findings as needed.
  • Analyzes complex data sets surfacing critical business insights.
  • Brings groups with disparate interests and goals to an effective defined productive resolution.
  • Supports input for business line terms in business glossaries, data dictionaries, and data flow diagrams.
  • Adheres to IT standards and procedures.
  • Performs compliance and risk management duties as required or assigned.
  • Regular, reliable attendance is required.

Qualifications:

  • Bachelor’s degree in MIS, Computer Science, Business/Finance, or similar field required or related equivalent professional experience.
  • Handles pressure in a fast-paced environment with competing priorities and aggressive deadlines.
  • Demonstrated proficiency with various applications and tools, including the Microsoft Office suite of products, spreadsheets, word processing, database, email, networking, development tools/languages, Internet applications and collaboration tools such as SharePoint and OneNote.
  • Strong attention to process improvement to ensure scale and efficiency.
  • Strong detail orientation with high level of organizational skills and ability to multi-task, managing interruptions with multiple projects.
  • Demonstrated self-motivation and initiative; ability to work well both independently and with others.
  • Excellent interpersonal skills: ability to collaborate with and work effectively with diverse groups of people, managing conflict and negotiating for results when needed.
  • Strong verbal and written communication skills, including ability to communicate and collaborate effectively with technical and non-technical people.
  • Preferred experience working in the financial services industry.

Professional Experience in One Or More of the Following Areas

  • Analytics and Reporting
  • Application Development
  • Application Integration
  • SQL Server:
    • T-SQL Scripting
    • SSRS (Paginated Reporting)
  • Programming or Scripting Language: Python, C#, JavaScript, or TypeScript, with the ability to learn and apply new technologies quickly.
  • Microsoft 365:
    • Office Suite - Special focus on being an advanced Excel user.
    • SharePoint - Understands difference between on premise and cloud functionality.

Power BI

  • Intermediate to advanced data modeling and data visualization experience
  • Familiar with DAX and Power Query
  • Power BI Service/Fabric

Power Automate

  • Understands use cases and what is possible. Created and managed flows in production environment.

Power Apps

  • Understands use cases and what is possible. Created and managed apps in production environment.

Compensation:

Business Data Analyst I - $31.88 - $47.83 per hour
Business Data Analyst II - $36.52 - $54.78 per hour

The compensation range represents the low and high end of the base compensation range for this position located in Spokane, WA. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. 

What Our Culture Can Offer You:

Our benefit philosophy is to provide you with a comprehensive package to secure your overall wellness and help you become and remain a fulfilled and productive employee. Our benefits include Health, Financial, Retirement and Work/Life Benefits. We are proud to share an overview of our benefits HERE as part of your total compensation.

Washington Trust Bank celebrates diversity in the workplace and actively recruits talent to help reflect the unique communities where we live and work. We are proud to be an equal opportunity employer and prohibit discrimination or harassment based on race, religion, sex, gender identity, sexual orientation, national origin, age, pregnancy, disability, genetic information and any other protected characteristics outline by state, federal and local laws. We believe strength comes from the diverse backgrounds and experiences of our team, and we are dedicated to fostering a supportive and inclusive work environment.