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Data Analyst Jobs in Pullman, WA (NOW HIRING)

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Data Analyst information

See Pullman, WA salary details

$33.2K

$80.7K

$132.9K

How much do data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst in Pullman, WA is $80,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 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.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Pullman, WA? The most popular types of Data Analyst jobs in Pullman, WA are:
What job categories do people searching Data Analyst jobs in Pullman, WA look for? The top searched job categories for Data Analyst jobs in Pullman, WA are:
What cities near Pullman, WA are hiring for Data Analyst jobs? Cities near Pullman, WA with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Pullman, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,742 per year, or $38.8 per hour.

Associate Data / Business Analyst - 1056

Lightcast

Moscow, ID • On-site

Full-time

Re-posted 7 days ago

Job description

The Associate Data / Business Analyst at Lightcast develops and maintains standardized taxonomies for labor market data to ensure consistency, quality, and accuracy across the organization. This role analyzes labor market data, creates standardized classifications, collaborates with cross-functional teams, and supports data governance initiatives that enhance labor market intelligence.
Major Responsibilities:
  • Develop and maintain taxonomies for labor market data, including job titles, skills, education requirements, and industry classifications.
  • Analyze labor market data to identify patterns and establish standardized terms and classifications.
  • Partner with cross-functional teams to ensure taxonomies align with business needs and are integrated into data models and databases.
  • Implement and maintain data governance processes to ensure data quality, consistency, and accuracy.
  • Support labor market data integration and migration projects while maintaining taxonomy integrity.
  • Organize and analyze large, unstructured datasets.
  • Monitor industry trends and best practices related to labor market taxonomies, ontologies, and data governance.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Science, Library Science, or a related field.
  • 1+ years of experience in labor market data management, analytics, taxonomy development, or a related field.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Experience working with large, unstructured datasets.
  • Familiarity with data modeling and database design principles.
  • Experience with SQL, Elasticsearch, KQL, SPARQL, or similar data query languages is preferred.
  • Experience with Python or R and data visualization tools such as Tableau, Looker, or Kibana is a plus.
  • Knowledge of labor market taxonomies and ontologies (e.g., NAICS, CIP, ESCO, O*NET-SOC) is preferred.
  • Familiarity with NLP or machine learning concepts is a plus.
  • Excellent written and verbal communication skills and the ability to work independently and collaboratively.

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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