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

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 ...

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 ...

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 ...

Data Strategy-Manager

Sacramento, CA ยท On-site

$99K - $232K/yr

... SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary ...

Showing results 41-60

Data Analyst Python Sql information

See Roseville, CA salary details

$35.6K

$86.6K

$142.6K

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

As of Aug 19, 2026, the average yearly pay for data analyst python sql in Roseville, CA is $86,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $101,700.00 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 cities near Roseville, CA are hiring for Data Analyst Python Sql jobs?

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

Infographic showing various Data Analyst Python Sql job openings in Roseville, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $86,628 per year, or $41.6 per hour.

$113K - $154K/yr

Full-time

Re-posted 29 days ago


Job description

The salary above reflects the entire range for this classification. Starting salary is dependent on experience and may be offered up to the midpoint of the salary range. Any starting salary above the midpoint requires authorization by the PRISM Executive Committee.

PRISM is a joint powers authority (JPA) that provides risk management and coverage programs for over 1,700 public entities throughout California. Our organization is member driven meaning that our public entity members have numerous opportunities available to participate in the governance of our JPA.

One of PRISM's greatest assets is its staff. PRISM employees are smart, creative, hard-working, and passionate individuals working in areas ranging from member services, risk control, claims administration, information technology, accounting, and risk pool administration. Working here requires energy, commitment, and teamwork. At the same time, we offer a great work environment built upon our Core Values ofPeople, Families, Trust, Integrity, and Growth. We are looking for an individual who shares these values to join the PRISM team.

We are seeking a Senior Data Engineer to play a central role in our data platform modernization. This is a hands-on technical position focused on migrating our on-premises MS SQL Server environment and Qlik reporting layer into Microsoft Fabric (Fabric Lakehouse, Data Factory, and Data Warehouse) with Power BI as our reporting layer. You will design and build robust data pipelines, establish solid data modeling standards, and help set the engineering foundation that the team will scale on for years to come.

This role also carries mentorship responsibility - you will collaborate with others in the Data & Analytics team, conduct code reviews, and help grow the team's collective capability on the new platform.

Job Responsibilities

Migration & Platform Engineering

  • Contribute to the technical migration from MS SQL Server (on-prem) and Qlik to Microsoft Fabric and Power BI
  • Design and implement data pipelines using Fabric Data Factory (pipelines and dataflows) and Fabric Notebooks, leveraging Python and Spark SQL for complex transformations and business logic
  • Build and maintain Lakehouse architecture on OneLake, including medallion layer design (Bronze / Silver / Gold)
  • Develop and optimize data models in Fabric Data Warehouse and/or Fabric Lakehouse
  • Write performant transformation logic using Python, Spark SQL, and T-SQL

Data Modeling & Architecture

  • Design scalable, maintainable data models aligned to business and reporting needs
  • Establish and enforce naming conventions, schema standards, and documentation practices
  • Collaborate with analysts and Power BI developers to ensure the semantic layer is well-structured and performs at scale

DevOps & Engineering Excellence

  • Own and maintain CI/CD pipelines for data assets using Azure DevOps.
  • Implement version control practices, testing frameworks, and deployment automation for data pipelines
  • Design and manage data platform orchestration across pipelines, notebooks, and warehouse workloads - including scheduling, dependency management, alerting, and failure handling
  • Proactively identify and resolve performance bottlenecks across pipelines, notebooks, SQL code, and overall platform architecture
  • Participate in architecture discussions and contribute to platform roadmap decisions

Compliance & Data Governance

  • Ensure all data handling practices comply with regulatory requirements and organizational PII/PHI policies
  • Implement appropriate data masking, access controls, and audit logging within the platform
  • Partner with security and compliance teams to maintain data governance standards

Mentorship

  • Partner with and actively uplift team members who are growing their Fabric skills
  • Conduct code reviews with constructive, solutions-oriented feedback
  • Contribute to internal documentation, runbooks, and knowledge sharing
  • Approach technical challenges with a growth mindset by modeling curiosity, continuous learning, and a bias toward practical, solutions-focused problem solving