ZipRecruiter

Log In

1

Business Analyst Sql R Python Jobs in Fontana, CA

Esri

Product Analyst

Redlands, CA · On-site

This role focuses on advanced analytics and data-driven insights to influence product and business ... • Strong SQL scripting for data extraction, transformation, validation, and analytics-ready ...

Esri

Product Analyst

Redlands, CA

You will serve as a critical bridge between business context, advanced analytics, and analytics ... Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset ...

EverCommerce

Analyst, Growth

Pomona, CA · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... B2B industries is a plus * Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL

Esri

Product Analyst

Redlands, CA · On-site

$70K - $110K/yr

You will serve as a critical bridge between business context, advanced analytics, and analytics ... Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset ...

VDart Inc

Azure HDInsight

Orange, CA · On-site

$58.75 - $73/hr

... Analytics), Business Intelligence & Infrastructure services. Three-time consecutive winner of Best ... experience in R programming and Azure ML (Must have) Programming languages - Java/Python with ...

VDart Inc

Azure HDInsight

Orange, CA · On-site

$58.75 - $73/hr

... Analytics), Business Intelligence & Infrastructure services. Three-time consecutive winner of Best ... experience in R programming and Azure ML (Must have) Programming languages - Java/Python with ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

Knowledge of scripting languages (Python, R, or similar) for advanced data processing and ... GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis ... Familiarity with SQL and database management systems. * Knowledge of statistical methods and ...

next page

Showing results 1-20

All JobsBusiness Analyst Sql R Python JobsBusiness Analyst Sql R Python Jobs in Fontana, CA

Business Analyst Sql R Python information

See Fontana, CA salary details

$18

$48

$73

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

As of Jul 20, 2026, the average hourly pay for business analyst sql r python in Fontana, CA is $48.22, according to ZipRecruiter salary data. Most workers in this role earn between $36.15 and $60.38 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

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.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

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.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What are popular job titles related to Business Analyst Sql R Python jobs in Fontana, CA? For Business Analyst Sql R Python jobs in Fontana, CA, the most frequently searched job titles are:
What job categories do people searching Business Analyst Sql R Python jobs in Fontana, CA look for? The top searched job categories for Business Analyst Sql R Python jobs in Fontana, CA are:
What cities near Fontana, CA are hiring for Business Analyst Sql R Python jobs? Cities near Fontana, 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 Fontana, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $100,304 per year, or $48.2 per hour.
Product Analyst

Product Analyst

Esri

Redlands, CA • On-site

Full-time

Posted yesterday

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies

Job description

Job Summary:
Esri is a leading company in the GIS technology sector, and they are seeking a Product Analyst to join their Product Analytics team. This role focuses on advanced analytics and data-driven insights to influence product and business decision-making, supporting the analytical data models used by Product Analysts and Data Scientists.
Responsibilities:
• Design, build, and maintain analytics‑focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling
• Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well‑structured datasets and metrics
• Contribute to the maturation of analytics engineering practices within Product Analytics, including scalable dataset design, metric logic, and operational support for analytical data assets
• Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth
• Create executive ready reports, and deep analyses that clearly communicate analytical insights, limitations, and recommendations to stakeholders across technical and non‑technical audiences
• Collaborate with other internal stakeholders – Business Managers, Product Managers, and other internal stakeholders to translate ambiguous business questions into structured analytical approaches
• Partner with technical leads and cross-functional data teams to support the evolution of Product Analytics data capabilities within Microsoft Fabric and related platforms
Qualifications:
Required:
• 2+ years of experience in product analytics, advanced data analysis, or business analytics roles, with a strong foundation in analytical reasoning, statistics, and data modeling
• Demonstrated experience building and supporting curated analytical datasets and data models used by analysts or data scientists for downstream analysis
• Proven ability to translate strategic and ambiguous questions into analytical frameworks and model requirements
• Experience working with large, multi‑source product usage or telemetry‑style data; ensuring reliability of analytical datasets, including data validation, QA and reconciliation
• Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset creation
• Solid knowledge of Python or similar analytical programming languages for modeling and analysis
• Familiarity with analytics enablement concepts, including semantic models, reusable metric logic, self‑service dataset support, and scheduled data workflows or pipeline operationalization
• Advanced Proficiency in Power BI (including analytical datasets and complex measures) and Microsoft Excel
• Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives)
• Bachelor’s degree in business analytics, statistics, mathematics, economics, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Preferred:
• Prior experience supporting analytics and predictive modeling for software products
• Hands‑on experience building predictive, forecasting, or scenario‑based models
• Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements
• Prior experience working in Microsoft Fabric environment
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

ESRI logo

About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

View All ESRI Jobs

Apply