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Business Analyst Sql R Python Jobs in Castro Valley, CA

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 ...

Sidecar

Junior Business Analyst Engineer

San Francisco, CA

$31.25 - $41.75/hr

Fluent in writing SQL queries (mySQL, PostgreSQL). * Experience with relational databases and query ... PHP, Python, Perl or Ruby is highly recommended. * Experience with statistical computation tools ...

AS TRADE LLC

Business Analyst

San Francisco, CA · On-site

Business Analyst -- 3-4 Years of ExperienceAbout the Role We are looking for a Business Analyst ... Perform data analysis and validation using SQL and Excel. * Create reports and dashboards using ...

IrisLogic, Inc

Sr BA/ Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

... Business Analyst, Data Analyst, or similar role with increasing scope Expert-level SQL skills for ... Python or R for data analysis and automation Solid understanding of data modeling, metric design ...

New

WinWire

Business Analyst

Foster City, CA · On-site

Foster City, CA We are seeking a Business Analyst with experience in requirement gathering ... Basic SQL, Python skills for data analysis and data verification Why Join WinWire: Your Path to ...

Jobsbridge

Business Analyst

Palo Alto, CA

Company Description Intelliswift Software, Inc Must have experience in managing applications on SQL ... Must have design and analysis experience in large full life cycle software development projects ...

ACME Tire

Business Analyst

Palo Alto, CA

$75K - $95K/yr

You're a Business Intelligence or Market/Financial Analyst who is looking for an opportunity where ... Experience with BI and data warehouse technologies, primarily SQL Server and SSIS * Experience with ...

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Business Analyst Sql R Python information

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

As of Aug 6, 2026, the average hourly pay for business analyst sql r python in Castro Valley, CA is $54.73, according to ZipRecruiter salary data. Most workers in this role earn between $41.06 and $68.51 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.

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.

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 job categories do people searching Business Analyst Sql R Python jobs in Castro Valley, CA look for? The top searched job categories for Business Analyst Sql R Python jobs in Castro Valley, CA are:
What cities near Castro Valley, CA are hiring for Business Analyst Sql R Python jobs? Cities near Castro Valley, CA with the most Business Analyst Sql R Python job openings:
Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in Castro Valley, CA as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,848 per year, or $54.7 per hour.

Data Scientist

Apex Informatics

Pleasanton, CA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Details: Data Scientist
Location: Pleasanton, CA
Top Skill:
Qualifications for Data Scientist Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests anritaprikhodkod proper usage, etc.) and experience with applications.
Experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Top Daily Responsibilities:
1. Support Data-Science and other analytics as needed.
2. Develop SQL queries and data sets 3. Develop business and client facing reports
Skills a Top Candidate Should Have:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Client Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Client Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Desired Skills:
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We're looking for someone with experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with software.

Skills:
1. Excellent Communication Skills.
2. Ability to work with business to gather report requirements.
3. Team player. Custom Job Description: If you have a custom job description that you would like to use. Please paste it here: Knowledge and experience with large data sets, event streams and distributed computing (Hive,Impala,Hadoop etc.) Ability to gather requirements and develop reports in tool selected by business and KPIT.

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