ZipRecruiter

Log In

1

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

ROI Agency

Senior Energy Portfolio Analyst

Spokane, WA ยท Remote

Conduct analysis of potential energy resources, including renewables, storage solutions, demand ... Experience working with programming or data tools such as Python, R, SQL, or similar. * Experience ...

Corporate Tools

Senior Data Engineer

Post Falls, ID ยท On-site +1

$150K/yr

As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the ...

Danaher

Digital Analyst Internships

Spokane, WA

$99.60K - $117.80K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

McKinstry

Senior Production Planner

Spokane, WA ยท On-site

The Senior Production Planner plays a critical role in aligning production schedules with business ... Analyze production data, capacity models, and demand forecasts to identify bottlenecks and ...

McKinstry

Senior Production Planner

Spokane, WA ยท On-site

The Senior Production Planner plays a critical role in aligning production schedules with business ... Analyze production data, capacity models, and demand forecasts to identify bottlenecks and ...

DataAnnotation

Senior Legal Analyst

Spokane Valley, WA ยท Remote

$40 - $60/hr

We are looking for a Senior Legal Analyst (part-time work from home) to help advance AI development ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

DataAnnotation

Senior Legal Analyst

Spokane, WA ยท Remote

$40 - $60/hr

We are looking for a Senior Legal Analyst (part-time work from home) to help advance AI development ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

DataAnnotation

Senior Financial Analyst

Spokane Valley, WA ยท Remote

$40 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Masters and/or PhD is preferred ...

DataAnnotation

Senior Financial Analyst

Spokane, WA ยท Remote

$40 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Masters and/or PhD is preferred ...

FocusKPI

Marketing Operations Analyst

Spokane, WA

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

WaFd Bank

Senior SBA Analyst

Spokane, WA ยท On-site

$43.27 - $52.88/hr

... analysis of financial condition and risk of financing requests within the framework of the Bank ... Compiles data from credit bureaus, conducts industry peer comparisons, verifies SBA eligibility and ...

WaFd Bank

Senior SBA Analyst

Spokane, WA ยท On-site

$43.27 - $52.88/hr

... analysis of financial condition and risk of financing requests within the framework of the Bank ... Compiles data from credit bureaus, conducts industry peer comparisons, verifies SBA eligibility and ...

next page

Showing results 1-20

All JobsPython Data Analysis 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 1, 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 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 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 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

Senior Energy Portfolio Analyst

ROI Agency

Spokane, WA โ€ข Remote

Full-time

Posted 23 days ago

Job description

Senior Energy Portfolio Analyst

Job type: Full-Time, direct-hire, hybrid onsite

Schedule: 4X10 schedule, Monday through Thursday (2 days on site, 2 days remote)

Work Authorization: U.S. Citizenship required


Overview

The Senior Energy Portfolio Analyst is responsible for performing complex analytical work to support energy portfolio strategy and planning. This position focuses on building and refining models used to guide resource planning, procurement strategies, and compliance efforts. The role plays a key part in ensuring a balanced energy portfolio that meets reliability, cost, and sustainability objectives while supporting long-term planning and risk mitigation.


๏ปฟCore Responsibilities

  • Design, update, and manage long-range analytical models used to assess portfolio performance, including cost, reliability, and risk considerations across generation resources.
  • Conduct analysis of potential energy resources, including renewables, storage solutions, demand-side programs, and market-based options.
  • Support portfolio risk assessment through forecasting and scenario modeling to inform long-term planning initiatives.
  • Partner with internal teams such as finance, pricing, and operations to ensure alignment between analytical insights and business objectives.
  • Provide data-driven insights to support commercial activities and market participation within defined risk guidelines.
  • Maintain clear and organized documentation of modeling approaches, assumptions, and outputs to support transparency and auditability.
  • Improve and standardize analytical processes, tools, and workflows to enhance consistency and efficiency.
  • Create reports, dashboards, and visual tools to communicate key findings related to performance, forecasts, and risk exposure.
  • Present analytical results and recommendations to stakeholders, both technical and non-technical.
  • Stay aligned with applicable regulatory requirements, internal policies, and industry standards.


Preferred Qualifications

  • Familiarity with industry modeling or simulation platforms.
  • Experience working with programming or data tools such as Python, R, SQL, or similar.
  • Experience using data visualization platforms such as Power BI, Tableau, or equivalent.


Additional Skills and Competencies

  • Strong capability in quantitative analysis and model development.
  • Advanced Excel skills and proficiency with modern data analysis tools.
  • General understanding of energy markets, infrastructure systems, or comparable industries.
  • Awareness of regulatory frameworks and compliance considerations within relevant sectors.
  • Experience with financial analysis, forecasting, or risk modeling techniques.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Strong written and verbal communication skills, with the ability to convey complex information clearly.

Requirements:

Required Qualifications

  • Bachelorโ€™s degree in a relevant discipline such as Engineering, Mathematics, Business, or Computer Science (or equivalent practical experience).
  • At least two years of experience in analytical roles related to energy systems, utility analysis, power supply, resource planning, or similar fields.