ZipRecruiter

Log In

1

Senior Python Data Analysis Jobs in Spokane, WA (NOW HIRING)

STCU

Senior HR Technology Analyst

Liberty Lake, WA

The Senior HR Technology Analyst serves as the technical administrator and subject matter expert ... Analyze data trends, validate data quality, and provide actionable insights that support ...

STCU

Senior HR Technology Analyst

Liberty Lake, WA · On-site

$7.6K - $10K/mo

The Senior HR Technology Analyst serves as the technical administrator and subject matter expert ... Analyze data trends, validate data quality, and provide actionable insights that support ...

STCU

Senior HR Technology Analyst

Liberty Lake, WA

$7.6K - $10K/mo

The Senior HR Technology Analyst serves as the technical administrator and subject matter expert ... Analyze data trends, validate data quality, and provide actionable insights that support ...

Teck

Senior Engineer, Tailings and Closure

Spokane, WA · On-site

$105K - $145K/yr

Experience in geotechnical and geo-environmental data analysis, surveillance and monitoring systems ... Apply with us Take the next step in your career by applying for the Senior Engineer, Tailings and ...

Lantern

Strategy Analyst

Spokane, WA · On-site

... analysis to identify industry trends and business opportunities * Develop financial models and data ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

BuyWander

VP of Data & AI

Spokane, WA · On-site

$185/hr

... analytics, or ML engineering roles, with a proven track record of stepping into 0 ? 1 environments. • The Hacker Mentality :You are highly proficient in SQL, Python, and the modern data stack (e.g ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

Tuition reimbursement. The Metallurgical/Data Scientist is responsible for analysis, design ... Python, etc. * Background in aluminum manufacturing, physical, and mechanical metallurgy.

Altek Inc

Senior Staff Accountant

Liberty Lake, WA · On-site

$33 - $41/hr

Analyze standard costs, variances, and production performance. * Review labor and overhead ... Support ERP system reporting, data integrity, and process improvements. * Participate in cross ...

Rover.com

Sr. Benefits & HR Operations Analyst

Spokane, WA · Remote

$73K - $96K/yr

We are looking for a data-driven HR Operations & Benefits Analyst to serve as a skilled executor of our People Team's infrastructure. In this role, you will optimize our Workday ecosystem while ...

Washington Trust Bank

Senior IT Auditor

Spokane, WA · On-site

$95K - $124K/yr

Gather and analyze extensive data and interview bank personnel in order to understand the control ... Senior Auditor - $89,158 - $133,794 The compensation range represents the low and high end of the ...

next page

Showing results 1-20

All JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Spokane, WA

Senior Python Data Analysis information

See Spokane, WA salary details

$55.6K

$143.6K

$197.2K

How much do senior python data analysis jobs pay per year?

As of Jun 27, 2026, the average yearly pay for senior python data analysis in Spokane, WA is $143,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $165,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Spokane, WA? The most popular types of Python Data Analysis jobs in Spokane, WA are:
What are popular job titles related to Senior Python Data Analysis jobs in Spokane, WA? For Senior Python Data Analysis jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Spokane, WA look for? The top searched job categories for Senior Python Data Analysis jobs in Spokane, WA are:
Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Spokane, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $143,554 per year, or $69 per hour.

AI Data Center Technician II - Highrise.ai

Hut 8

Newport, WA

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago

Job description

ABOUT HUT 8

Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place.

ABOUT THE ROLE

At Highrise AI, we operate GPU clusters that power the next generation of AI — and we're looking for a sharp, hands-on Data Center Technician to help keep them running at peak performance.

As a Data Center Technician II, you'll work directly with NVIDIA H100, H200, and B300 GPU clusters alongside cutting-edge high-speed networking infrastructure. Your work directly supports the AI companies building tomorrow's most important technology — your uptime matters. You'll be responsible for diagnosing, repairing, and maintaining our systems, with a strong focus on GPU cluster health, InfiniBand and high-speed Ethernet fabric, and hardware reliability.

This role operates under general supervision and reports to the Director of AI Infrastructure.Some of the responsibilities you can expect include the following:

GPU Cluster Operations & Diagnostics

  • Perform advanced diagnostics, repair, and maintenance on NVIDIA H100, H200, and B300 GPUs and multi-node GPU clusters
  • Monitor cluster health and respond quickly to hardware failures to maximize uptime
  • Execute firmware flashing and BIOS-level configuration on GPU nodes

Networking

  • Deploy, maintain, and troubleshoot high-speed InfiniBand and Ethernet fabric (QSFP & OSFP)
  • Apply working knowledge of InfiniBand topology across multi-rack GPU cluster environments
  • Support IP addressing, subnetting, and network diagnostics

Systems & Linux

  • Work in Linux environments for system monitoring, diagnostics, and hardware management
  • Use data analysis to identify failure patterns and drive proactive maintenance
  • Assist with firmware updates, driver management, and hardware configuration

Facility & Operations

  • Maintain a clean, safe, and organized data center environment
  • Perform general facility duties and contribute to broader infrastructure projects as directed
  • Lead projects at the discretion of your supervisor or operations manager

ABOUT YOU

  • High school diploma or equivalent required; technical certifications a plus
  • 1–3+ years of experience in IT/computer hardware, AI GPU maintenance, systems/electrical engineering, or network administration
  • Hands-on experience with NVIDIA GPU hardware (H100, H200, or similar) strongly preferred
  • Familiarity with InfiniBand networking and high-speed fabric topology
  • Comfortable working in Linux environments
  • Solid understanding of IP addressing, subnetting, and basic networking concepts
  • Strong problem-solver with a diligent, team-first attitude and the flexibility to adapt in a fast-moving environment
  • Ability to be on your feet 7+ hours per day and lift/carry 30–50 lbs
  • Must pass a motor vehicle background check

ABOUT THE WORK ENVIRONMENT
This role is onsite at a Data Center in Newport, WA. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WHAT MAKES HUT 8 A GREAT PLACE TO WORK

Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.

At Hut 8, you will have the opportunity to:

▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting

▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government

▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team

▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure