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Data Analyst Python Sql Jobs in Sacramento, CA (NOW HIRING)

SQL DBA

Sacramento, CA ยท On-site

$46.25 - $57.75/hr

SQL DBA Location: Sacramento, CA Duration: 12+ months In person interview & Onsite role Client is ... Work closely with Business Analysts and customers to refine requirements, and ensure data quality.

Data Architect - PST TIme zone

Sacramento, CA ยท Remote

$65.25 - $84/hr

Needs: Sql Architecture Knowledge Data Analysis Starting as an analyst, moving to engineering, then architecture Top 3 Must-Have Skill Sets * SQL 4-5 years * Data Analysis 4-5 years * Architecture ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SQL - Experience with Docker and containerized deployments - Skilled in AI techniques enhancing ...

Develops, validates, and deploys analytics & data science models and agentic AI solutions using ... Proficiency with SQL and cloud data platforms (e.g., Azure, Databricks, or equivalent); comfort ...

Develops, validates, and deploys analytics & data science models and agentic AI solutions using ... Proficiency with SQL and cloud data platforms (e.g., Azure, Databricks, or equivalent); comfort ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... SQL and relational databases - Writing and maintaining FastAPI endpoints for applications ...

Reporting Data Scientist

Sacramento, CA ยท On-site

$135K - $170K/yr

Strong proficiency with data analysis, statistical tools, and modern programming languages (e.g., Python, R). * Excellent communication skills, including the ability to convey complex data clearly ...

Showing results 21-40

Data Analyst Python Sql information

See Sacramento, CA salary details

$36.3K

$88.1K

$145K

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

As of Sep 2, 2026, the average yearly pay for data analyst python sql in Sacramento, CA is $88,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $103,400.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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.

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 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 Sacramento, CA?

For Data Analyst Python Sql jobs in Sacramento, CA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Sacramento, CA look for?

The top searched job categories for Data Analyst Python Sql jobs in Sacramento, CA are:

What cities near Sacramento, CA are hiring for Data Analyst Python Sql jobs?

Cities near Sacramento, CA with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Sacramento, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $88,121 per year, or $42.4 per hour.

Full-time

Re-posted yesterday


Job description

ETL Engineer
West Sacramento, CA
36+ months
Mandatory Qualifications:
At least 5 years of industry experience in ETL, data engineering, BI, and Quality Assurance.
At least 5 years of experience of using ETL tools like: FiveTran, Informatica, AWS Glue, or Talend.
At least 3 years of experience of Microsoft Power BI or Tableau
At least 5 years of experience in Python, SQL.
At least 3 years of experience in testing ETL pipeline and Reports.
At least 3 years of experience in working with large-scale Enterprise data warehouse, data integration, data migration, and data quality verification.
At least 3 years of experience with continuous-integration process (CI/CD).
At least 5 years of experience using industry-standard test automation tools and experience in developing product test harnesses and instrumenting products to gather test results.
At least 5 years of hands-on experience working on relational and NoSQL databases, and queries.
BA/BS Degree in Computer Science or related technical discipline, or practical experience. CalSTRS may request a copy of the degree.
Desirable Qualifications:
Experience of cloud data warehousing like: SQL Server, Snowflake, and/or AWS Redshift.
Experience in State agency or Financials or Investment portfolios or other regulated industry highly preferred.
Ability to use business knowledge and expertise to build analytical data models and reports that can serve to all business users.
Experience and capability using visualization software such as Power BI, Tableau and familiarity with SAP, CRM or other Insurance and Benefits systems.
Exceptional ability to multi-task while maintaining tight schedules.
Excellent writing and documentation skills.
Education: BA/BS Degree in Computer Science or related technical discipline, or practical experience.
Regards
Naresh Damagalla
West Advanced Technologies, Inc
E: naresh.d@wati.com