ZipRecruiter

Log In

1

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

Danaher

Digital Analyst Internships

Olympia, WA · On-site

$105K - $124K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Infojini Inc

Senior Data Warehouse Analyst

Olympia, WA

$92K - $116K/yr

The data warehouse operating environment is SQL Server 2012 and 2016 on Windows 10 and our ETL tool ... analysts, report writers, and the data warehouse project manager to create ETL routines. Creating ...

FocusKPI

Marketing Operations Analyst

Olympia, WA · On-site

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

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale ...

next page

Showing results 1-20

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

Data Analyst Python Sql information

See Olympia, WA salary details

$36.5K

$88.6K

$145.8K

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 Olympia, WA is $88,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $104,000.00 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 are popular job titles related to Data Analyst Python Sql jobs in Olympia, WA? For Data Analyst Python Sql jobs in Olympia, WA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Olympia, WA look for? The top searched job categories for Data Analyst Python Sql jobs in Olympia, WA are:
What cities near Olympia, WA are hiring for Data Analyst Python Sql jobs? Cities near Olympia, WA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Environmental Data Analyst

Environmental Data Analyst

GSI Environmental Inc.

Olympia, WA • On-site, Remote

$76K - $110K/yr

Full-time

Posted 18 days ago

Job description

Description

GSI is seeking an Environmental Data Analyst who combines technical ability, analytical creativity, and business acumen to strengthen our data management, analysis, and visualization team. The ideal candidate is comfortable across the full data lifecycle—building and maintaining relational databases, developing analysis and automation pipelines in SQL, Python, and/or R, and providing query, reporting, and visualization support in a collaborative organization working closely with technical staff. Familiarity with environmental chemistry data generated from field investigations of water, soil, sediment, air, and biological matrices is valued. The candidate should know how to analyze system requirements and be familiar with relational databases, statistical analysis, and modern data visualization techniques using relevant and current tools.

GSI provides high-quality technical and regulatory expertise to industry and government to address a broad range of environmental issues. We specialize in solving complex environmental problems by leveraging our extensive knowledge of environmental regulations, stressing accurate data collection and analysis, and applying new technologies to our clients' most difficult challenges.

Responsibilities

  • Support environmental investigation projects by maintaining relational databases of environmental chemistry data from historical reports, laboratory test results, web sources, and third-party databases.
  • Build and maintain ETL (extract, transform, load) and analysis workflows in SQL, Python, and/or R to clean, transform, validate, and analyze environmental datasets.
  • Work with multi-disciplinary teams of engineers and scientists to support statistical and spatial analyses.
  • Build dashboards and visualizations, and format tables, charts, and graphs to style guidelines for technical reports and presentations.
  • Organize data in structures that support automation and downstream analysis.
  • Perform quality assurance on analytical databases to ensure data integrity, and identify and correct data gaps, errors, and relational table issues.
  • Support a wide variety of projects ranging from litigation support and site investigation to data mining for research and development.
  • Effectively communicate findings to internal and external clients.
  • Complete assigned tasks on schedule and within budget while meeting quality standards on deliverables.
  • BS/BA or higher degree in data science, computer science, statistics, environmental science, or a related field.
  • 2-5 years of work experience in data management or analysis, with strong relational database skills using PostgreSQL, Microsoft SQL Server, Microsoft Access, or other database management systems.
  • Comfortable writing advanced SQL for data management (beyond basic create, read, update, delete), to clean, transform, and structure data in relational databases.
  • Familiarity with relational database design, data modeling, and normalization.
  • Awareness of data compilation, migration, and backup/retention considerations.
  • Shell scripting (Bash) and comfort working in Linux and command-line environments.
  • Experience using Python and/or R (Tidyverse, Shiny) for data analysis, visualization, dashboards, and web applications, including hands-on project work.
  • Self-motivated and eager to learn, with a drive to adopt new data and analysis techniques, AI, and emerging technologies to improve workflows.
  • Excellent written and verbal communication, and the ability to manage multiple tasks and meet deadlines with limited supervision.
  • Strong problem-solving skills and attention to detail.
  • Additional preferred skillsets and qualifications include:
    • Familiarity with chemistry data, laboratory information management systems (LIMS), data validation, and extraction of data from online sources.
    • Version control (Git) and reproducible, scripted analysis workflows.
    • Application development and deployment, including web frameworks for data tools (e.g., Django, Flask/FastAPI, Dash, Streamlit, R Shiny). Familiarity with containerization (Docker) is a plus.
    • Experience with embedded and analytical database engines (e.g., SQLite, DuckDB) for local analysis, prototyping, and data interchange.

Job Perks

  • Competitive salary and benefits
  • Quarterly and year-end bonuses
  • Flexible work environment with potential for remote work
  • On-the-job training, mentorship, and professional development
  • Participation in conferences, technical presentations, and papers
  • Collaborative atmosphere
  • Base salary will vary depending on qualifications and experience.

The anticipated salary range for this position is $76,000–$110,000. This range represents GSI's good-faith estimate of the base salary for the position and is provided in accordance with applicable pay transparency laws. Starting salary will be determined based on several job-related factors, including relevant experience, education, professional licensure, certifications, technical expertise, geographic location, internal equity, and overall qualifications.

Apply