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Computer Data Analyst Jobs in Spokane, WA (NOW HIRING)

Itron, Inc

Data Science Analyst

Liberty Lake, WA · On-site

$75K - $130K/yr

Bachelor's degree in Data Science, Statistics, Finance, Accounting, Economics, Computer Science, or a related field. * 3+ years of experience in data analytics, data science, or FP&A, with ...

Premera Blue Cross

Systems Analyst III

Spokane, WA · On-site

Perform data analysis to assist in defining functional requirements. Develop more complex data ... Bachelor's degree in information systems or computer science or equivalent experience. * 5+ years ...

Danaher

Digital Analyst Internships

Spokane, WA

$99K - $117K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

FocusKPI

Marketing Operations Analyst

Spokane, WA

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

... analysts, and stakeholders. Requirements: * Bachelor's (BA or BS) in computer science, or related field. * 2+ years in a full stack development role * 4+ years of experience working in a data ...

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Computer Data Analyst information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do computer data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for computer 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 a Computer Data Analyst job?

A Computer Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They work with large datasets, use statistical methods, and create reports or visualizations to identify trends and patterns. Analysts often use tools like SQL, Python, Excel, and data visualization software to transform raw data into actionable insights. Their role is essential in various industries, including finance, healthcare, marketing, and technology.

Can ISFJ be a data analyst?

Yes, ISFJ personality types can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel or SQL. While personality can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is AI replacing data analysts?

AI tools are increasingly automating routine data processing and analysis tasks, but data analysts remain essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a data analyst involves skills in data visualization, statistical analysis, and domain knowledge, which are not fully replaceable by AI at this time.

What typical career growth opportunities are available for a Computer Data Analyst?

Computer Data Analysts often have multiple paths for career advancement, including moving into senior analyst positions, data science roles, or management tracks such as Data Analytics Manager or Business Intelligence Lead. As you gain experience, you may also specialize in niche areas like machine learning, big data engineering, or industry-specific analytics (e.g., healthcare or finance). Many organizations support ongoing training and certification to help analysts stay current with emerging tools and trends. Strong performance and the ability to deliver impactful insights can lead to higher-level responsibilities and leadership opportunities within analytics teams.

What are the key skills and qualifications needed to thrive in the Computer Data Analyst position, and why are they important?

To thrive as a Computer Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms (like Tableau or Power BI), as well as relevant certifications, is typically expected. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings effectively make candidates stand out in this role. These skills are vital for accurately analyzing large data sets, generating actionable insights, and supporting data-driven decision-making within organizations.

What do computer data analysts do?

Computer data analysts collect, process, and analyze large sets of data to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. Their work helps organizations improve efficiency, optimize operations, and develop strategic plans.

Is 40 too late for data science?

A computer data analyst can transition into data science at any age, including 40, as the field values skills like programming, statistics, and data visualization. Many professionals successfully switch careers later in life by gaining relevant certifications and experience with tools like Python, R, and SQL.
What are popular job titles related to Computer Data Analyst jobs in Spokane, WA? For Computer Data Analyst jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Computer Data Analyst jobs in Spokane, WA look for? The top searched job categories for Computer Data Analyst jobs in Spokane, WA are:
Computer Data Analyst jobs near you
Data Science Analyst

Data Science Analyst

Itron, Inc

Liberty Lake, WA • On-site

$75K - $130K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Itron rating

6.2

Company rating: 6.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

121st of 139 rated electronics manufacturers

Job description

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.

Itron is seeking a Data Science Analyst to join our Digital Finance organization and help transform how Finance leverages data, analytics, and predictive modeling. This role sits at the intersection of Finance, Data, and Advanced Analytics, with a primary focus on strengthening financial data quality and governance, improving forecast accuracy through statistical and machine learning models, and delivering scalable, customercentric insights that support confident decisionmaking. You will collaborate closely with Financial Planning & Analysis (FP&A) leaders and IT partners in a modern enterprise data environment to enable more accurate, timely, and actionable financial outcomes.
Duties & Responsibilities
Predictive Modeling & Forecasting
  • Develop, validate, and deploy statistical and machine learning models to improve forecasting accuracy across revenue and expense categories in a complex Utilities & Energy business environment.
  • Build driverbased and predictive forecasting models to support annual planning, rolling forecasts, and longrange planning, with an accountable focus on measurable improvement.
  • Perform model validation, backtesting, and error analysis to continuously improve performance and ensure trusted, decisionready outputs.
  • Translate analytical results into clear financial narratives and actionable recommendations for FP&A leadership and business partners, demonstrating strong business acumen and customer focus.
Financial Data Quality & Governance
  • Champion data integrity by supporting initiatives that improve the quality, consistency, and reliability of financial and operational datasets.
  • Define and apply data validation, reconciliation, and control frameworks across key FP&A data flows to ensure accuracy and accountability.
  • Collaborate closely with IT and Data Engineering partners to ensure accurate integration of ERP, planning, and operational systems; clear data lineage; and standardized definitions that enable a single source of truth.
  • Proactively identify and remediate data issues that impact forecasting, reporting, and downstream decisionmaking in an agile and solutionoriented manner.
Advanced Analytics & Insights
  • Conduct deepdive analyses to uncover trends, risks, opportunities, and key business drivers that inform strategic and operational decisions.
  • Deliver executiveready insights, visualizations, and storytelling that enable leaders to act with confidence.
  • Design, maintain, and evolve standardized KPIs and metrics frameworks aligned to business objectives and customer outcomes.
  • Enable selfservice analytics by creating curated datasets, reusable logic, and scalable analytical solutions that drive innovation and continuous improvement.
Required Skills & Experience
  • Bachelor's degree in Data Science, Statistics, Finance, Accounting, Economics, Computer Science, or a related field.
  • 3+ years of experience in data analytics, data science, or FP&A, with demonstrated exposure to advanced analytics or predictive modeling.
  • Strong proficiency in Python and/or R for statistical analysis and machine learning in a business context.
  • Strong proficiency in SQL for data extraction, transformation, validation, and quality assurance.
  • Experience building, evaluating, and interpreting predictive or statistical models that support realworld business decisions.
  • Working knowledge of forecasting concepts, financial drivers, and data governance principles, with a strong data integrity mindset.
  • Ability to clearly and authentically communicate complex analytical concepts to nontechnical stakeholders and senior leaders.
Preferred Skills & Experience
  • Experience in FP&A, corporate finance, or financial analytics within a large, matrixed organization.
  • Familiarity with enterprise financial systems such as Oracle ERP/EPM, SAP, or similar platforms.
  • Experience working with modern data platforms such as Microsoft Fabric, Snowflake, Databricks, or comparable technologies.
  • Experience using Power BI or other business intelligence tools to deliver clear, customercentric visualizations and insights.
  • Exposure to model lifecycle concepts including deployment, monitoring, and continuous improvement.
  • Experience operating in large, multisource data environments, demonstrating collaboration, agility, and innovation.
Benefits Info:
This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills and experience and may vary by location. The base salary is $75,000-130,000 annually.

#LI-EP1

Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!
The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.
Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com.


Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com

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