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Business Analyst Sql R Python Jobs in Santa Clara, CA

Business Analyst

San Jose, CA · On-site

$50 - $55/hr

Business Analyst Pay Range: $50hr - $55hr The Business Analyst will support IT application ... Ability to write and execute basic SQL queries, including joins. * Experience working with AI ...

... 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 ...

Business Analyst

Mountain View, CA · On-site +1

$177K - $225K/yr

Exceptional quantitative and analytical modeling skills (e.g., advanced Excel / Google Sheets, SQL ... Ability to create ad hoc dashboards for your own or small group use, ability to leverage Python, R ...

Business Analyst

Mountain View, CA · On-site

$177K - $225K/yr

Exceptional quantitative and analytical modeling skills (e.g., advanced Excel / Google Sheets, SQL ... Ability to create ad hoc dashboards for your own or small group use, ability to leverage Python, R ...

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

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

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Business Analyst Sql R Python information

See Santa Clara, CA salary details

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

As of Jun 22, 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 are Business Analyst SQL R Python roles?

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.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

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.

How do Business Analysts utilizing 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.
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What job categories do people searching Business Analyst Sql R Python jobs in Santa Clara, CA look for? The top searched job categories for Business Analyst Sql R Python jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Business Analyst Sql R Python jobs? Cities near Santa Clara, CA with the most Business Analyst Sql R Python job openings:
Infographic showing various Business Analyst Sql R Python job openings in Santa Clara, CA as of June 2026, with employment types broken down into 1% As Needed, 57% Full Time, 31% Part Time, 8% Temporary, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $115,872 per year, or $55.7 per hour.
Senior Product Analyst, Competitive Intelligence

Senior Product Analyst, Competitive Intelligence

PlayStation Global

San Mateo, CA • Hybrid

$194K - $234K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Senior Product Analyst, Competitive Intelligence

San Mateo, CA

Role Overview

Sony Interactive Entertainment LLC seeks a Senior Product Analyst, Competitive Intelligence in San Mateo, CA to perform breakdowns and analysis on noteworthy competitive titles, analyzing revenue and engagement as well as systems and other design elements.

Requirements

  • Bachelor's degree in Business Analytics, Data Science, or related field or equivalent and five (5) years of progressively responsible experience analyzing competitive title trends and broader market trends in the video game industry by analyzing monetization strategies and virtual economies; developing revenue and financial forecasting models using SQL, R and Python to project in-game monetization performance and live service revenue outcomes; building and maintaining data pipelines (ETL workflows) using SQL and R/Python to integrate, clean, and standardize datasets from multiple sources; designing and deploying interactive dashboards and visualizations using Tableau, Looker, and Power BI to track performance metrics and KPIs; defining and monitoring key performance indicators (KPIs) for live service titles, including engagement, retention, and monetization, and creating benchmarks against industry standards; conducting competitive market analysis and creating structured reports on industry trends, competitive title performance, and monetization approaches to support strategic decision-making; applying statistical modeling techniques and performing statistical analysis on cohorts and retention, building forecasting models, automating databases, and integrating multiple internal and third party data sources; and in executing duties, utilizing data analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau, Looker and Power BI.
  • Telecommuting and/or working from home may be permissible pursuant to company policies.

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.


Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. 


In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

$194,834.00 - $234,834.00/year

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.