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

Walmart

(USA)Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... changed" analysis, model cards. * Publications, patents, or open-source contributions in time series, XAI, or graph learning. Key Skills / Tech Stack * Proficiency in Python, Sql and data ...

Atria Group LLC

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

Our company provides application analysis, design, development and programming, software ... Build report interfaces and data feeds JOB REQUIREMENTS Working on the Cloud Automation ...

Cadence Design Systems Inc.

Data Warehouse Engineer

San Jose, CA · On-site

$101K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master in Azure SQL stack architecture (SQL Server, SQL Warehouse and Azure Data factory) Understanding of data analysis principles and reporting techniques. Preferred knowledge of python, Pentaho ...

Walmart

(USA) Senior, Data Scientist

San Jose, CA · On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python, SQL, and distributed data processing experience. * Familiarity with cloud-based ML ... Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications.

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... Python and Scala * With Spark and Machine Learning (3+) * Data mining, Data analysis Roles and ... write SQL queries, etc.). * Work closely with our engineering team to integrate and build ...

Joby Aviation

Staff Data Scientist

Santa Cruz, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... Python libraries and tools to automate data processing and analysis pipelines * Design and build ... Advanced SQL and data modeling experience writing complex, performant SQL queries and designing ...

Joby Aviation

Staff Data Scientist

Santa Cruz, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... Python libraries and tools to automate data processing and analysis pipelines * Design and build ... Advanced SQL and data modeling experience writing complex, performant SQL queries and designing ...

Joby Aviation

Staff Data Scientist

Santa Cruz, CA · On-site

... Python libraries and tools to automate data processing and analysis pipelines * Design and build ... Advanced SQL and data modeling experience writing complex, performant SQL queries and designing ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Watsonville, CA

Data Analyst Python Sql information

See Watsonville, CA salary details

$35.8K

$87.1K

$143.3K

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

As of Aug 13, 2026, the average yearly pay for data analyst python sql in Watsonville, CA is $87,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,200.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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

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

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

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

Data Analyst Python Sql jobs near you

Credit Strategy Data Scientist

5 Star Global Recruitment Partners

San Jose, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Credit Strategy Data Scientist

San Jose, California, United States

About the Job Credit Strategy Data Scientist

We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain.

Key Job Functions

  • Design rules to detect/mitigate loss
  • Investigate novel/large cases
  • Identify root cause
  • Set strategy for different risk types
  • Work with product/engineering to improvement control capabilities
  • Develop and present strategies and guide execution
  • Drive results that maximize eligible customers while controlling losses

Professional Experience/Background to be Successful in This Role

  • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
  • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
  • Experience using statistics and data science to solve complex business problems.
  • Proficiency in SQL, Python, Excel including key data science libraries.
  • Experience working with large datasets.
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
  • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.
  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
  • Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.

Expected Outcome in 6-12 Months

  • Development of dashboard and visualizations to track KPI of credit strategies implemented
  • Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers.
  • Utilize data analysis to design and implement credit strategies
  • Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers.
  • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

Preferred Skills

  • Data analytics
  • Rule development
  • Dashboard Creation
  • Project Management
  • Strong Communication

Notes from Hiring Manager

  • Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member).
  • Team size: 5 team members, position will work closely with a senior team member at outset, role will largely focus on reporting, so experience with visualization and data storytelling is a plus.

Must Have

  • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
  • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
  • Experience using statistics and data science to solve complex business problems.
  • Proficiency in SQL, Python, Excel including key data science libraries.
  • Experience working with large datasets.
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
  • Experience with AWS, payment rule systems, and knowledge of credit products.

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