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

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Remote Data Analyst

San Jose, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data & Analytics Technologies SQL - Advanced querying, data extraction, analysis. Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports.

Aivra Health LLC

Big Data Engineer

San Jose, CA · On-site

$65.25 - $86.50/hr

Strong knowledge of SQL and Python or Scala. * Experience with distributed data processing frameworks. * Understanding of ETL/ELT concepts and data warehousing. * Strong analytical, problem-solving ...

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

... analytics. WhatYou'llDo * Design and deploy modern data platforms in Azure Databricks, including ... Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and orchestration across ...

Walmart

(USA) Principal, Data Analyst

San Jose, CA · On-site

$117K - $234K/yr

Strong SQL and Python skills , with experience working with large-scale behavioral, transactional ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Cypress HCM

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

... analytics product that will generate insights into financial metrics and customer journey ... Strong Python, SQL/PLSQL skills and big data technologies like Azure Databricks with enterprise ...

eBay

Data Science - Analyst 2

San Jose, CA · On-site +1

Proficiancy with Python and SQL, including data manipulation, visualization, and working in common analysis environments (2 years) * Foundational understanding of statistics, experimentation, and ...

eBay, Inc.

Data Science - Analyst 2

San Jose, CA · On-site

Proficiancy with Python and SQL, including data manipulation, visualization, and working in common analysis environments (2 years) * Foundational understanding of statistics, experimentation, and ...

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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 Jul 30, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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

AI Strategy analyst

Rays Techsolutions Inc.

San Jose, CA • On-site

Other

Posted yesterday

New

Job description

Job Title: AI Strategy analyst
Location: San Jose, CA (Hybrid)
Client: Latent View/Google

Job Description:

We are looking for a strategy analyst to act as the architect and evaluator for our emerging agentic AI workstreams. This individual will focus on systems thinking and strategy. They will be responsible for understanding state-of-the-art internal AI agent platforms, exploring how these tools can be combined to improve existing systems, and synthesizing findings into compelling points of view and strategic roadmaps for executive leadership.

Key responsibilities

Tool exploration and systems mapping: Actively learn and test internal AI agent platforms and orchestration tools to understand their capabilities, limits, and potential integrations.

Strategic POV generation: Translate technical experiments and tool capabilities into clear, digestible, and persuasive points of view, 1-pagers, and executive briefings.

Workflow architecture: Analyze current team processes and identify where AI agents can be glued together or layered on top of existing systems to unlock efficiency.

Rapid prototyping: Use low-code environments, terminal commands, and configuration files to set up proof of concept agentic loops without needing to write production-grade backend code.

Stakeholder alignment and agility: Rapidly adapt documentation, priorities, and project direction based on feedback from senior management and evolving business goals.

Skills:

AI strategy analyst (Python, SQL, AI Tools & Infra)

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