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Data Analyst Python Sql Jobs in Pasco, WA (NOW HIRING)

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Sr. Data Engineer

Richland, WA · On-site

$119K - $143K/yr

... Synapse Analytics) * Proficiency with a range of programming and scripting languages commonly used in data engineering, including SQL, Python, Scala, Java, Bash or PowerShell, and R. * Advanced ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Pasco, WA

Data Analyst Python Sql information

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$34.4K

$83.7K

$137.8K

How much do data analyst python sql jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst python sql in Pasco, WA is $83,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $98,300.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Pasco, WA look for? The top searched job categories for Data Analyst Python Sql jobs in Pasco, WA are:
What cities near Pasco, WA are hiring for Data Analyst Python Sql jobs? Cities near Pasco, WA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Pasco, WA as of July 2026, with employment types broken down into 2% Internship, 68% Full Time, 8% Part Time, and 22% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $83,720 per year, or $40.2 per hour.

Quality Data Analyst II

Good Shepherd Health Care

Hermiston, OR • On-site

Full-time

Medical, Dental, Vision

Posted 3 days ago

Job description

Overview
Employer Paid Benefits for You & Your Family!! Medical, Dental, & Vision.
Definition of Position:
The Senior Quality Data Analyst is the technical lead for data analytics and business intelligence within the Quality & Patient Safety division, responsible for enterprise Epic reporting and the full lifecycle of report and dashboard development that supports clinical quality, patient safety, regulatory compliance, and organizational performance. This role owns the design, build, and maintenance of reporting infrastructure across SQL, Crystal Reports, SSRS, Power BI, and Epic Clarity and Caboodle, transforming complex data into actionable insights for clinical, operational, and executive leadership. The Senior Quality Data Analyst also serves as a technical resource to other analyst staff and partners closely with Information Technology on data warehouse structure, Epic build governance, and data integration.
Responsibilities
  • Serves as the primary technical lead for enterprise Epic reporting within Quality & Patient Safety, owning the design, build, and maintenance of reports and data models in Epic Clarity and Caboodle.
  • Designs, develops, and maintains SQL queries against the enterprise data warehouse to support production reporting, ad hoc analysis, and validation of clinical and operational data.
  • Builds and maintains reports in Crystal Reports and SSRS, ensuring accuracy, version control, and alignment with source system logic.
  • Designs, builds, and deploys Power BI dashboards and scorecards for clinical, operational, and executive audiences, including data model design and refresh scheduling.
  • Collaborate with the Quality Manager and division leadership to identify data needs, translate requirements into technical specifications, and design meaningful analyses.
  • Collects, organizes, and validates data from multiple clinical and operational sources, including electronic health records, safety event reporting systems, and external benchmarking databases.
  • Partners with Information Technology to optimize data warehouse structures, manage Epic build governance, and integrate new data sources.
  • Develop analytic tools to monitor performance against national benchmarks and identify opportunities for improvement.
  • Partners with interdisciplinary teams, including nursing, medical staff, finance, and operations, to define data needs and deliver actionable insights.
  • Provides data and insights to support committees, leadership councils, and the Board of Trustees
  • Translate complex technical data into clear, compelling narratives that inform executive decision-making.
  • Serves as a technical resource and mentor to other Quality Data Analyst staff, providing guidance on report development standards and best practices.
  • Contributes to organizational readiness for regulatory surveys and quality reporting requirements.
  • Ensures data accuracy, integrity, and compliance with privacy and security requirements, including adherence to data governance standards for Epic build access.
  • The employee supports the hospital mission, vision, values, policies, and procedures.
  • Participates in required education for DNV programs as applicable to position (reference program education curriculum).
  • Performs other related duties as assigned.

Qualifications
Education
Required: High school diploma or equivalent.
Preferred: Bachelor's degree in data analytics, statistics, public health, health informatics, nursing, or related field.
Licenses/ certifications/ registrations
Required: Epic Cogito Certification required or obtained within 1 year of hire. Epic Clarity and Caboodle certification, or demonstrated equivalent proficiency, required at hire or obtained within one year of hire.
Preferred: NA
Experience
Required: Minimum of five years of experience in healthcare data analysis, including demonstrated experience building reports or dashboards in Epic Clarity and/or Caboodle, and hands-on experience writing SQL queries against a relational database or data warehouse.
Preferred: Experience with Crystal Reports or SSRS report development, Power BI dashboard design, ADW, and statistical software.
Other:
NA
Physical Requirements:
Prolonged periods of sitting at a desk and working on a computer. Occasional walking, standing, bending, or lifting light office items (up to 25 pounds). Visual acuity to view computer screens and read detailed financial documents. Ability to communicate effectively in person, by phone, and electronically. May be required to move throughout the healthcare facility, including administrative and clinical areas.
Working Conditions:
This position operates in a professional office setting within a healthcare facility. The role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. The office environment is climate-controlled, well-lit, and ergonomically designed for extended computer work. While this role is primarily office-based and does not involve direct patient care, the employee may occasionally be present in clinical areas or interact with staff working in clinical environments. As such, there is a potential for exposure to infectious diseases. The organization provides appropriate training and personal protective equipment (PPE) as needed to ensure safety.
40 Hours USD $0.00/Hr. USD $0.00/Hr. 01-8040 Quality Management First Shift

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