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

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

... are analytics, with limited supervision from the Senior AI Solutions Engineer. * Designs and ... Ensures security, data privacy, and human-in-the-loop review where needed. * Maintains and ...

Platform Engineer I/II

Spokane, WA · On-site +1

$99K - $149K/yr

... data processing. * Partner with other engineers and Product Owners throughout the Bank. * Collaborate with Azure service owners (AAD, VM, LB, GitHub Enterprise, etc.). * Analyze, design, and evaluate ...

Platform Engineer I/II

Spokane, WA · On-site

$99K - $149K/yr

... data processing. * Partner with other engineers and Product Owners throughout the Bank. * Collaborate with Azure service owners (AAD, VM, LB, GitHub Enterprise, etc.). * Analyze, design, and evaluate ...

Data Analyst Github information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do data analyst github jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data analyst github 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 data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

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

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Spokane, WA?

For Data Analyst Github jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Spokane, WA look for?

The top searched job categories for Data Analyst Github jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Data Analyst Github jobs?

Cities near Spokane, WA with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% 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.

Information Technology Specialist (DATAMGT)

Spokane, WA • On-site


Criminal Investigation & Law Enforcement | IRS Careers
Public Administration • 10K+ employees

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

131st of 294 rated public sector bodies

People enjoy working here

Good employer

Recommended by students


$125K/yr

Full-time

Re-posted 5 days ago


Job description

WHAT IS INFORMATION TECHNOLOGY?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Data and Platform Engineering - Data and Reporting
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
Minimum requirements for Grade 12 and UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.
Specialized Experience GS-14 Level: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service, specialized experience includes:

  • Leading or coordinating IT projects, application-related efforts, operational initiatives, or system-related activities that affect multiple users, teams, programs, or business processes.
  • Applying advanced IT principles, concepts, methods, and practices to evaluate requirements; resolve technical issues; guide system, application, or code testing and configuration decisions; and ensure technical documentation and federal cybersecurity, privacy, or regulatory requirements are addressed.
  • Engaging customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or improvement efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists on the selection, design, configuration, implementation, or improvement of IT solutions with organizational impact.
  • Experience designing, developing, testing, deploying, and maintaining ETL and ELT pipelines that ingest structured and unstructured data, apply transformation rules, manage processing failures, and publish curated datasets using distributed data processing platforms (e.g., Databricks, Apache Spark).
  • Experience defining and implementing logical and physical data models, schemas, semantic mappings, metadata standards, and tiered data structures to maintain consistent data definitions and relationships across systems and platforms.
  • Experience implementing source control, peer review, automated testing, workflow orchestration, and continuous integration and continuous deployment (CI/CD) processes using source code management and automation tools (e.g., GitHub, GitHub Actions) to promote code and data pipeline changes through development, testing, and production environments.
  • Experience preparing and maintaining system documentation, data dictionaries, architecture and data flow diagrams, interface specifications, deployment procedures, and operational runbooks to support system deployment, maintenance, troubleshooting, and audit reviews.
  • Experience translating organizational objectives into data and artificial intelligence (AI) infrastructure requirements, implementation tasks, acceptance criteria, and operational controls to deliver solutions that support defined mission outcomes and comply with applicable policies.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER


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