1

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

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

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

Responsibilities include delivering direct analytical and modeling support for HAC initiatives ... Fluency in the Python programming language and competency using Python's standard machine learning ...

SQL DBA

Sacramento, CA · 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.

Showing results 21-40

Data Analyst Python Sql information

See Folsom, CA salary details

$36.4K

$88.4K

$145.4K

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 Folsom, CA is $88,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $103,700.00 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 are popular job titles related to Data Analyst Python Sql jobs in Folsom, CA?

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

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

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

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

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

Reporting Data Scientist

Luster National

Sacramento, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago


Job description

About the Position
We're seeking a Reporting Data Scientist to support large, complex infrastructure programs, including highways, roads, bridges, transit (rail and bus), international airports, and water/wastewater projects delivered through both traditional and alternative project delivery methods. This role will support enterprise-level project controls and program management functions by developing advanced analytics, predictive models, automated reporting solutions, and executive dashboards that transform complex project, program, financial, cost, schedule, and risk data into actionable business intelligence. The successful candidate will help drive data-informed decision-making across some of the nation's largest infrastructure programs. Based on the source materials, this role will support program-wide analytics, forecasting, reporting automation, and visualization initiatives within a Project Controls organization.
This is a long-term, full-time, on-site position located in Sacramento, CA.
Responsibilities may include, but are not limited to, the following:
  • Develop, maintain, and continuously improve enterprise-level data models, analytics frameworks, reporting workflows, and performance measurement systems.
  • Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management.
  • Design, develop, and maintain Power BI dashboards, visualizations, and automated reporting solutions for executive leadership and project stakeholders.
  • Analyze large and complex datasets to identify trends, risks, anomalies, performance drivers, and opportunities for process improvement.
  • Partner with project controls, scheduling, cost management, risk management, finance, and program management teams to integrate data from multiple sources and produce unified analytical outputs.
  • Support monthly, quarterly, and executive-level reporting cycles through preparation, validation, and analysis of project and program data.
  • Identify opportunities to automate manual reporting processes and improve data accessibility, quality, and efficiency.
  • Establish and maintain data governance, quality assurance, and validation procedures to support reliable decision-making.
  • Collaborate with project teams and stakeholders to collect, validate, consolidate, and interpret data from multiple systems and platforms.
  • Present analytical findings, dashboard insights, trends, and recommendations to executive management and other stakeholders.
  • Support board-level reporting requirements and strategic program performance initiatives.
  • Contribute to PMIS, reporting, analytics, and business intelligence improvements across major capital infrastructure programs.

Attributes
  • Excellent written and verbal communication and interpersonal skills.
  • Excellent analytical thinking, problem-solving, and data storytelling capabilities.
  • Collaborative mindset that fosters teamwork, trust, positive relationships, and effective coordination across cross-functional stakeholders.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines simultaneously.
  • Strong attention to detail and commitment to accuracy, quality, accountability, and continuous improvement.

Minimum Qualifications
  • Master's degree in data science, computer science, statistics, engineering, business analytics, or related field.
  • 8+ years of experience performing data analytics, business intelligence, reporting, predictive modeling, or data science functions in large infrastructure construction programs, collaborating with (at a minimum) program controls, program scheduling, and program risk management teams.
  • Experience supporting major capital infrastructure, transportation, transit, aviation, water/wastewater, or construction programs.
  • Strong knowledge of project controls, management reporting, business intelligence, data management, and performance measurement methodologies as they relate to heavy civil infrastructure programs.
  • Demonstrated experience developing executive-level reporting, dashboards, analytics, and data visualization solutions.
  • Experience implementing data strategies, analytics workflows, reporting processes, and data governance practices.
  • Experience integrating data from multiple systems and sources to create unified reporting and analytical outputs.
  • Experience developing predictive models, forecasting tools, statistical analyses, and performance metrics.
  • Strong proficiency with Python, R, SQL, or similar programming and analytics tools.
  • Proficiency with Power BI and other dashboarding, visualization, and business intelligence platforms.
  • Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, Excel, PowerPoint, etc.).

Preferred Qualifications
  • Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification.
  • Experience leading analytics initiatives or contributing to analytics/reporting teams supporting major infrastructure programs.
  • Experience supporting project controls, cost management, scheduling, risk management, or PMO functions.
  • Experience developing Kanban-style, Agile, or workflow visualization dashboards.
  • Experience with PMIS, Oracle, Primavera P6, enterprise reporting platforms, or large-scale business intelligence environments.
  • Proficiency with desktop publishing software, Visio, and professional graphics software.

Compensation Details
Expected Salary: $140k-$210k/year ($67-$101/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate's level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.
Just LOOK at the Benefits We Offer!
  • Unlimited flexible time off
  • Paid holidays
  • Paid parental leave
  • Health, dental, and vision insurance
  • Flexible spending accounts (healthcare and dependent or elder care)
  • Long-term disability insurance
  • Short-term disability insurance
  • Life insurance and accidental death and dismemberment
  • 401(k) plan with guaranteed employer contribution
  • Formal career planning and development program
  • $2,500 annually toward professional development
  • Wellness program with monthly wellness stipend
  • Company cell phone or cell phone plan reimbursement
  • Free personalized meal planning and nutrition support with a registered dietitian
  • Free personal financial planning services
  • Employee assistance program
  • Employee discounts
  • Employee referral bonus

Specific plan details and coverage for each benefit noted above will be provided upon offer. #IN-LNJS
If you wish to be considered for a position where there is not an active job posted, please search for our 'General Application' and apply.
Luster is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to criminal history, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
All positions may be subject to a background check and drug test once a conditional offer of employment is made for any convictions directly related to its duties and responsibilities, in accordance with all applicable local, state, and/or federal regulations.
This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
Luster does not accept unsolicited resumes from any third-party. In the absence of a signed agreement, Luster will not consider or agree to payment of any kind. Any unsolicited resumes presented to Luster personnel, including those submitted to Luster hiring managers, are deemed to be the property of Luster.
Please email hiring@luster.com for accommodations necessary to complete the application process.