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Business Analyst Sql R Python Jobs in Santa Clara, CA

Ross

Senior Analyst, Business Intelligence

Dublin, CA · On-site

$81K - $121K/yr

... g., SQL, R, Python), data visualization tools (e.g., Tableau, Power BI, Excel), and other ... analytic solutions to solve business problems. • Experience developing short- and long-term ...

TikTok

Business Analyst, Monetization

San Jose, CA · On-site

$108K - $208K/yr

... business analysis of TikTok monetization products. Evaluate business health, identify potential ... SQL/Hive, R/Python; experience in using data visualization products; knowledge of quantitative ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

We are looking for exceptional people to scale our business and build innovative web and mobile ... Proficient in SQL, R, Python or Java * Excellent written and verbal communication skills * Attitude ...

Jobless

Senior Business Analyst

San Mateo, CA · On-site

$170 - $200/hr

Successful Business Analyst leaders at Verkada are fluent in SQL, understand the principles of ... SQL skills and knowledge of analytical programming languages including R or Python to conduct ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ... analytics as needed. 2. Develop SQL queries and data sets 3. Develop business and client facing ...

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How much do business analyst sql r python jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for business analyst sql r python in Santa Clara, CA is $55.71, according to ZipRecruiter salary data. Most workers in this role earn between $41.78 and $69.71 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

How do business analysts with SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

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Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in Santa Clara, CA as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $115,872 per year, or $55.7 per hour.

Research Data Scientist, Search Ads in AI Experiences

Socket.dev

Mountain View, CA • On-site

$147 - $210/hr

Other

Posted 2 days ago

New

Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
About the job:

The Ads in AI Experiences team is responsible for a high priority initiative at Google: reinventing Search Ads for the AI era (AI Overview, AI Mode). We are building the tech stack, the user experience, and the business model simultaneously. Our mission is to ensure that as Search experience evolves with AI, we unlock new ways for users to discover and engage with businesses through seamless, next-generation commercial experiences. We are a team of risk-takers and builders, responsible for experimenting with rapid velocity to define the next decade of Google’s business generation engine.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities:
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
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