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Data Analyst Python Sql Jobs in California (NOW HIRING)

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. * Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115.01K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

... Analyst), Databricks and AWS and Python 1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4. ...

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. * Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic ...

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

Senior Data Analyst

Los Angeles, CA

$92.70K - $116.90K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

Data Analyst III

San Francisco, CA · On-site +1

$114.19K - $142.74K/yr

Write production-quality SQL and Python code to extract, transform, and analyze data at scale. * Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional problem-solving ...

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional problem-solving ...

Sr. Data Analyst / Engineer

Sunnyvale, CA · On-site

$100.90K - $127.30K/yr

Job Title: Sr. Data Analyst / Engineer Location: Sunnyvale, CA (Onsite) Duration: Contract Note- EX ... SQL, Tableau, Snowflake, ETL, DBT, Reporting Tools, Python, Data Visualization Best Regards, Nisha ...

New

... analysis. * Write and maintain production-quality Python, SQL, and API service code. * Build ... Partner with Product, Data Science, and Platform Engineering teams. * Communicate technical ...

New

Data Analyst

San Francisco, CA · On-site

$123.08K - $160K/yr

Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. * Strong knowledge of Python for data manipulation and analysis (e.g ...

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Data Analyst Python Sql information

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.

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.

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 in California are hiring for Data Analyst Python Sql jobs? Cities in California with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in California as of May 2026, with employment types broken down into 5% As Needed, 62% Full Time, 7% Part Time, 25% Contract, and 1% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution.
Data Analyst I

Data Analyst I

Tristar Insurance

Signal Hill, CA • On-site, Remote

$114K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

POSITION SUMMARY: In this role, you will support data analysis, data modeling, and data warehousing efforts that directly impact our business, business partners, and clients in claims, underwriting, and risk assessment strategies. Whether you're a recent graduate or early in your career, this position offers a strong foundation in data science, data warehousing, and insurance analytics, with opportunities for growth and development.
DUTIES AND RESPONSIBILITIES:
  • Assist in building data warehouse, dashboards, and reporting tools for actuarial, claims, and underwriting teams.
  • Collaborate with business units to develop data-driven insights for loss prevention and reserve modeling.
  • Clean, organize, and merge structured data from internal and third-party sources.
  • Write queries and scripts using SQL and Python or R to extract and analyze data efficiently.
  • Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic planning.
  • Analyze claims, policy, and exposure data to identify trends in injury types, loss costs, and claim durations.
  • Apply basic statistical techniques or predictive models to support pricing, claims triage, or fraud detection.
  • Strong SQL development skillset in Postgres or any RDBMS database, data warehouse experience, Python, or Java core programming as a plus

PREFERRED SKILLS (Not Required)
  • Knowledge of workers' compensation insurance and claims workflows
  • Internship or project experience in insurance analytics, risk modeling, or predictive modeling.
  • Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO).

QUALIFICATIONS REQUIRED:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 0-3 years of experience in data science, analytics, or insurance-related projects (academic or professional).
  • Familiarity with data tools such as SQL, Python, R, or SAS.
  • Familiarity with Data warehouse techniques and practices
  • Hands on any data warehouse product
  • Exposure to data visualization tools (e.g., Power BI, Tableau).
  • Strong attention to detail, curiosity, and willingness to learn industry-specific data concepts.
  • Ability to work independently and collaboratively with cross-functional teams.

Here are some of the benefits you can enjoy in this role:
  • Medical, Dental, Vision Insurance
  • Life and Disability Insurance
  • 401(k) plan
  • Paid time off
  • Paid holidays

Mental and Physical Requirements:
MENTAL AND PHYSICAL REQUIREMENTS
1. MENTAL EFFORT
a. Reasoning development::
Follow one- or two-step instructions; routine, repetitive task.
Carry out detail but uninvolved written or verbal instructions; deal with a few concrete variables.
Follow written, verbal, or diagrammatic instructions; several concrete variables.
X Solve practical problems; variety of variables with limited standardization; interpret instructions.
Logical or scientific thinking to solve problems; several abstract and concrete variables.
Wide range of intellectual and practical problems; comprehend most obscure concepts.
b. Mathematical development:
Simple additional and subtraction; copying figures, counting, and recording.
Add, subtract, multiply, and divide whole numbers.
X Arithmetic calculations involving fractions, decimals, and percentages.
Arithmetic, algebraic, and geometric calculations.
Advanced mathematical and statistical techniques such as calculus, factor analysis, and probability determination.
Highly complex mathematical and statistical techniques such as calculus, factor analysis, and probability determination; requires theoretical application.
c. Language development:
Ability to understand and follow verbal or demonstrated instructions; write identifying information; request supplies verbally or in writing.
Ability to file, post, and mail materials; copy data from one record to another; interview to obtain basic information such as age, occupation, and number of children; guide people and provide basic direction.
Ability to transcribe dictation; make appointments and process mail; write form letters or routine correspondence; interpret written work instructions; interview job applicants.
X Ability to compose original correspondence, follow technical manuals, and have increased contact with people.
Ability to report, write, or edit articles for publication; prepare deeds, contracts or leases, prepare and deliver lectures; interview, counsel, or advise people; evaluate technical data.
2. PHYSICAL EFFORT
a. Physical activity required to perform the job:
Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
X Light work:
a. Exerting up to 20 pounds of force occasionally b. Exerting up to 10 pounds frequently
c. Exerting a negligible amount of force constantly to move objects
(If the use of arm and/or leg controls requires exertion of forces greater than that for Sedentary
Work and the worker sits most of the time, the job is rated for Light Work).
Medium work:
a. Exerting up to 50 pounds of force occasionally b. Exerting up to 20 pounds of force frequently
c. Exerting up to 10 pounds of force constantly to move objects
Heavy work:
a. Exerting up to 100 pounds of force occasionally b. Exerting up to 50 pounds of force frequently
c. Exerting up to 20 pounds of force constantly to move objects
Very heavy work:
a. Exerting in excess of 100 pounds of force occasionally
b. Exerting in excess of 50 pounds of force constantly to move objects c. Exerting in excess of 20 pounds of force constantly to move objects
b. Visual requirements necessary to perform the job:
Far vision: clarity of vision at 20 feet or more
X Near vision: clarity of vision at 20 inches or less
X Mid-range vision: clarity of vision at distances of more than 20 inches and less than 20 feet
Depth perception: the ability to judge distance and space relationships, so as to see objects where and as they actually are
Color vision: ability to identify and distinguish colors
Field of vision: ability to observe an area up or down or to the right or left while eyes are fixed on a given point
2. PHYSICAL EFFORT (cont.)
FREQUENCY
c. Physical activity necessary to perform the job and frequency (e.g., continually, frequently, or occasionally):
Climbing: Ascending or descending ladders, stairs, scaffolding, ramps, poles, and
the like, using feet and legs and/or hands and arms. Body agility is emphasized. This factor is important if the amount and kind of climbing required exceeds that required for ordinary locomotion.
Balancing: Maintaining body equilibrium to prevent falling when walking, standing, or crouching on narrow, slippery, or erratically moving surfaces. This factor is important if the amount and kind of balancing exceeds that needed for ordinary locomotion and maintenance of body equilibrium.
X Stooping: Bending body downward and forward by bending spine at the waist.
This factor is important if it occurs to a considerable degree and requires full use of the lower extremities and back muscles.
X Kneeling: Bending legs at knee to come to a rest on knee or knees.
X Crouching: Bending the body downward and forward by bending legs and spine.
Crawling: Moving about on hands and knees or hands and feet.
X Reaching: Extending hand(s) and arm(s) in any direction.
Occasionally
Occasionally
Occasionally Occasionally Occasionally
X Standing: Particularly for sustained periods of time.
X Walking: Moving about on foot to accomplish tasks, particularly for long distances.
X Pushing: Using upper extremities top press against something with steady force in order to thrust forward, downward, or outward.
X Pulling: Using upper extremities to extent force in order to drag, haul, or tug objects in a sustained motion.
Foot
Motion: Using feet to push pedals.
X Lifting: Raising objects from a lower to a higher position or moving objects horizontally from position to position. This factor is important if it occurs to a considerable degree and requires substantial use of the upper extremities and back muscles.
X Fingering: Picking, pinching, typing, or otherwise working with fingers rather than with the whole hand or arm as in handling.
X Grasping: Applying pressure to an object with the fingers and palm.
Occasionally Occasionally Occasionally
Frequently
Frequently
Occasionally
2. PHYSICAL EFFORT (cont.)
FREQUENCY
X Talking: Expressing or exchanging ideas by means of the spoken word. Those activities in which workers must convey detailed or important spoken instructions to other workers accurately, loudly, or quickly.
X Hearing: Perceiving the nature of sounds with or without correction. Ability to receive detailed information through verbal communication, and to make fine discriminations in sound, such as when making find adjustments on machined parts.
Feeling: Perceiving attributes of objects, such as size, shape, temperature, or texture by touching with skin, particularly that of fingertips.
X Repetitive Substantial movements (motions) of the wrists, hands, Motion: and/or fingers.
Frequently
Frequently
Frequently
3. WORKING CONDITIONS
Disagreeable job conditions to which the employee may be exposed and the frequency (e.g., continually, frequently, or occasionally) of this exposure.
WORKING CONDITION ENVIRONMENTAL
FACTOR
NATURE/REASON OF EXPOSURE
FREQUENCY
Dirt/Dust
Noise
Temperature extremes
Dampness
Vibrations
Equipment movement hazard
Chemicals/solvents
Electrical shock
Significant work pace/pressure
Odors/Fumes
Other (specify):