Proficiency with at least one modern programming or scripting language, such as Python, C# ... data, data models, reporting, analytics, and the context required to ground AI solutions.
Proficiency with at least one modern programming or scripting language, such as Python, C# ... data, data models, reporting, analytics, and the context required to ground AI solutions.
Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g ... Analytical mindset with the ability to solve complex problems and make data-driven decisions.
Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g ... Analytical mindset with the ability to solve complex problems and make data-driven decisions.
Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...
Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...
Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...
Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...
... data extraction/transformation, organized analysis and effective visualization of information ... Programming experience. (Python preferred) * Familiarity with CMMS software (MAXIMO preferred)
... data extraction/transformation, organized analysis and effective visualization of information ... Programming experience. (Python preferred) * Familiarity with CMMS software (MAXIMO preferred)
Automation & Controls Engineer - Manufacturing Support
Spokane, WA · On-site
$70K - $125K/yr
... data extraction/transformation, organized analysis and effective visualization of information ... Programming experience. (Python preferred) * Familiarity with CMMS software (MAXIMO preferred)
Automation & Controls Engineer - Manufacturing Support
Spokane, WA · On-site
$70K - $125K/yr
... data extraction/transformation, organized analysis and effective visualization of information ... Programming experience. (Python preferred) * Familiarity with CMMS software (MAXIMO preferred)
Automation & Controls Engineer - Manufacturing Support
Spokane, WA · On-site
$70K - $125K/yr
... data extraction/transformation, organized analysis and effective visualization of information ... Programming experience. (Python preferred) * Familiarity with CMMS software (MAXIMO preferred)
Automation & Controls Engineer - Manufacturing Support
Spokane, WA · On-site
$70K - $125K/yr
... data extraction/transformation, organized analysis and effective visualization of information ... Programming experience. (Python preferred) * Familiarity with CMMS software (MAXIMO preferred)
Senior Support Engineer
Spokane, WA · On-site +1
... access to sensitive data through integrations, creating new risks most security tools miss ... Interface with Product and Engineering on root cause analysis, bug escalation, and permanent ...
Senior Support Engineer
Spokane, WA · On-site +1
... access to sensitive data through integrations, creating new risks most security tools miss ... Interface with Product and Engineering on root cause analysis, bug escalation, and permanent ...
Database Administrator III
$105K - $132K/yr
Automate routine DBA tasks using scripting (e.g., Shell, Python, PowerShell) * Research and perform ... Deep knowledge of performance tuning, execution plans, indexing, and wait event analysis
Database Administrator III
$105K - $132K/yr
Automate routine DBA tasks using scripting (e.g., Shell, Python, PowerShell) * Research and perform ... Deep knowledge of performance tuning, execution plans, indexing, and wait event analysis
Python Data Analysis information
See Spokane, WA salary details
$13.37 - $20.09
1% of jobs
$20.09 - $26.80
0% of jobs
$26.80 - $33.52
2% of jobs
$33.52 - $40.24
5% of jobs
$40.24 - $46.95
11% of jobs
$48.93 is the 25th percentile. Wages below this are outliers.
$46.95 - $53.67
18% of jobs
The median wage is $57.18 / hr.
$53.67 - $60.39
24% of jobs
$65.53 is the 75th percentile. Wages above this are outliers.
$60.39 - $67.11
18% of jobs
$67.11 - $73.82
13% of jobs
$73.82 - $80.54
5% of jobs
$80.54 - $87.26
3% of jobs
$13
$59
$87
How much do python data analysis jobs pay per hour?
What is a python data analysis?
A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.
What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?
To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.
What are the typical responsibilities of someone working in python data analysis?
Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

Full-time
Medical, Life, Retirement
Posted 14 days ago
Job description
The Forward Deployed Engineer, AI Enablement partners with business areas across the Bank to identify, design, build, document, and improve AI-enabled workflows and capabilities that make it easy to Sell, Service, and Scale the company. This role helps translate business needs into practical solutions by combining business process understanding, data literacy, AI fluency, stakeholder communication, and lightweight technical implementation. The Forward Deployed Engineer works with business users, process owners, technology, data, security, risk, and governance partners to develop safe, useful, and reusable AI-enabled tools, templates, workflows, documentation, and service patterns. This position requires curiosity, critical thinking, creativity, strong follow-through, and comfort operating in work that may not be fully defined at the start.
Essential Functions:
- Embeds with business teams and process owners to understand how work moves end to end across people, processes, systems, data, decisions, controls, handoffs, and exception paths.
- Identifies high-value opportunities to reduce cognitive, context, coordination, execution, quality, or design burden.
- Determines whether AI, deterministic automation, data capability, reporting, process redesign, or human judgment is the appropriate response.
- Designs future-state workflows with clear ownership, human and AI responsibilities, review points, exception handling, data boundaries, system interactions, and control requirements.
- Designs, builds, and validates working AI-enabled solutions that combine agents, approved data, APIs, automation, reporting, workflow components, and human review into cohesive business capabilities.
- Develops agent instructions, system prompts, tool-use patterns, structured outputs, context and retrieval approaches, evaluation criteria, error handling, and escalation paths appropriate to the use case.
- Uses programming, scripting, agentic development workflows, APIs, approved platforms, and automation tools to build, inspect, test, debug, and refine solutions.
- Builds small, testable versions; validates them with domain experts and users; and iterates based on workflow fit, output quality, reliability, usability, adoption, and business value.
- Advances successful prototypes toward operational use by defining production-readiness requirements, runbooks, monitoring expectations, service ownership, permissions, support paths, change requirements, and control points with appropriate partners.
- Documents assumptions, decisions, limitations, risks, dependencies, evaluation results, support requirements, and handoff information so capabilities can be reviewed, maintained, supported, and reused.
- Measures outcomes such as reduced cycle time, fewer handoffs, less rework, improved consistency, stronger decision context, increased operating capacity, adoption, governance confidence, and reuse.
- Converts successful local solutions into reusable agents, modules, templates, data or context assets, playbooks, evaluation patterns, and service models that accelerate future work.
- Identifies when an AI-enabled approach is inappropriate and recommends deterministic process, data, reporting, automation, or human-owned alternatives.
- Escalates data, security, privacy, risk, compliance, governance, production, integration, or supportability concerns early and works with the appropriate owners to resolve or document them.
Qualifications:
- Demonstrated ability to understand complex business processes, identify high-value improvement opportunities, and translate them into practical technology-enabled solutions.
- Experience designing, building, testing, and operationalizing AI-enabled workflows, agents, automations, applications, reporting, or decision-support capabilities.
- Working knowledge of agentic AI concepts, including instructions, tool use, structured outputs, contextual grounding, retrieval, human review, exception handling, orchestration, and evaluation.
- Proficiency with at least one modern programming or scripting language, such as Python, C#, JavaScript, or TypeScript, with the ability to learn and apply new technologies quickly.
- Experience using agentic and command-line development workflows—including tools such as GitHub Copilot and Codex-style coding agents—to plan, generate, inspect, test, debug, and refine solutions.
- Ability to direct coding agents through clear goals, context, constraints, acceptance criteria, and iterative review while maintaining human accountability for the resulting solution.
- Experience integrating systems and data through APIs, connectors, automation platforms, relational databases, analytical platforms, or event-driven patterns.
- Ability to build small, testable solutions, validate them directly with users, and iteratively improve reliability, usability, workflow fit, and measurable business value.
- Strong data fluency, including experience with structured and unstructured data, data models, reporting, analytics, and the context required to ground AI solutions.
- Experience within Microsoft’s enterprise technology ecosystem, which may include Microsoft Fabric, Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Power BI, Power Platform, Azure, and related services.
- Understanding of production-readiness considerations, including permissions, security, monitoring, error handling, documentation, support ownership, change management, and operational controls.
- Ability to work across business, operations, technology, data, security, risk, compliance, and governance teams in a regulated enterprise environment. Banking or financial-services experience is preferred.
- Strong written, verbal, documentation, and facilitation skills, including the ability to create clear technical and operational materials, embed with business teams, learn unfamiliar domains quickly, explain technical concepts clearly, and navigate ambiguity.
- Sound judgment in determining when AI is appropriate and when deterministic processes, traditional automation, reporting, data, or human-owned solutions would be more effective.
- A builder mindset characterized by curiosity, adaptability, ownership, practical problem-solving, accountability for measurable outcomes, and the ability to convert successful solutions into reusable components and patterns.
- Demonstrated self-motivation, initiative, attention to detail, and organizational ability; works effectively both independently and collaboratively.
- Ability to prioritize multiple assignments, manage interruptions, and maintain a high level of service in a deadline-driven environment.
- Ability to work additional hours as required by operational and production workloads.
Compensation:
Forward Deployed Engineer I - $87,093 - $130,697
Forward Deployed Engineer II - $99,830 - $149,745
The compensation range represents the low and high end of the base compensation range for this position located in Spokane, WA. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. This position is eligible to participate in an applicable incentive plan.
What Our Culture Can Offer You:
Our benefit philosophy is to provide you with a comprehensive package to secure your overall wellness and help you become and remain a fulfilled and productive employee. Our benefits include Health, Financial, Retirement and Work/Life Benefits. We are proud to share an overview of our benefits HERE as part of your total compensation.
Washington Trust Bank celebrates diversity in the workplace and actively recruits talent to help reflect the unique communities where we live and work. We are proud to be an equal opportunity employer and prohibit discrimination or harassment based on race, religion, sex, gender identity, sexual orientation, national origin, age, pregnancy, disability, genetic information and any other protected characteristics outline by state, federal and local laws. We believe strength comes from the diverse backgrounds and experiences of our team, and we are dedicated to fostering a supportive and inclusive work environment.
About Washington Trust Bank
Sourced by ZipRecruiter
Industry
Commercial banking
Company size
501 - 1,000 Employees
Headquarters location
Spokane, WA, US
Year founded
1902