1

Data Analyst Computer Science Jobs in Spokane, WA

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 ...

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 ...

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

... science and agronomic expertise across all project work. Managing Scientist tasks will include preparing monitoring plans, conducting monitoring, analyzing data, and preparing technical reports for ...

... 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 ...

... computer science, English, or linguistics. * Excellent oral and written communication skills with ... data.) This position includes a competitive benefits package. Benefits to include: * Medical ...

Communications Analyst

Spokane, WA · On-site

$25 - $45/hr

... computer science, English, or linguistics. * Excellent oral and written communication skills with ... data.) This position includes a competitive benefits package. Benefits to include: * Medical ...

next page

Showing results 1-20

Data Analyst Computer Science information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do data analyst computer science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data analyst computer science 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.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type 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, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What job categories do people searching Data Analyst Computer Science jobs in Spokane, WA look for? The top searched job categories for Data Analyst Computer Science jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Data Analyst Computer Science jobs? Cities near Spokane, WA with the most Data Analyst Computer Science job openings:
Data Science Analyst

Data Science Analyst

Itron, Inc

Liberty Lake, WA • On-site

$75K - $130K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Itron rating

6.2

Company rating: 6.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

122nd 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


What Itron employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom