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Remote Data Analyst Python Jobs in Victorville, CA

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Review case data and prepare for rater discussions, ensuring all relevant documents and scale items ...

Sr. Demand Planner

Rancho Cucamonga, CA · On-site +1

$120K - $135K/yr

Success in this role requires executive presence, strong analytical expertise, and the ability to ... Play a key role in system optimization, planning tool enhancements, and data governance initiatives

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Remote Data Analyst Python information

See Victorville, CA salary details

$35.8K

$87.1K

$143.3K

How much do remote data analyst python jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data analyst python in Victorville, CA is $87,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,200.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in Victorville, CA look for?

The top searched job categories for Remote Data Analyst Python jobs in Victorville, CA are:

What cities near Victorville, CA are hiring for Remote Data Analyst Python jobs?

Cities near Victorville, CA with the most Remote Data Analyst Python job openings:

Infographic showing various Remote Data Analyst Python job openings in Victorville, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,101 per year, or $41.9 per hour.

Principal Product Engineer - Imagery & Remote Sensing

Esri

Redlands, CA

$120K - $193K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Overview
Esri's imagery and remote sensing capabilities have expanded significantly across products including ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Online. We are seeking individuals with experience applying remote sensing data and ArcGIS to solve complex problems and generate insights in areas such as agriculture, earth science, climate monitoring, conservation, and environmental studies. Ideal candidates have worked with ArcGIS to process, manage, and analyze imagery at scale and are passionate about advancing remote sensing workflows through modern analytical techniques, including machine learning and geospatial AI.
In this role, you will apply your expertise in imagery and remote sensing, combined with a strong engineering background, to help our Software Products team design and deliver innovative solutions for geospatial analysis using data from satellites, aerial platforms, and UAS devices. You will work closely with development and product leads to build capabilities that support advanced image management, visualization, and analysis while driving innovation across multispectral, multidimensional, hyperspectral, and SAR workflows. This is an exciting opportunity to shape the future of remote sensing technology and expand how airborne, spaceborne, and terrestrial data are leveraged across a wide range of GIS applications and industries.
Responsibilities
  • Collaborate with software developers on software project teams to design, develop, and release product updates which innovate and advance ArcGIS remote sensing capabilities
  • Design, test, and validate recommended patterns and practices which communicate how users can best leverage ArcGIS remote sensing advancements
  • Work with other lead engineers to develop product update roadmaps and schedules based on understanding and prioritizing user issues, requests, and feedback
  • Act as a subject matter expert for multiple products and be available as a technical point of contact for internal and external knowledge sharing and education
  • Support technology demonstrations and presentations for industry events
  • Work across engineering teams to coordinate and align development planning and roadmaps for broad reaching projects like Geospatial AI
  • Help manage software development priorities and manage user expectations through active communication and coordination
  • Understand, test, and communicate deployment patterns and recommended configurations for highly scalable imagery and remote sensing systems based on ArcGIS
  • Research, prototype, and recommend new approaches for AI-enabled image analysis, raster analytics, and imagery workflows, including emerging foundation models and embeddings

Requirements
  • 8+ years of experience in remote sensing, image processing, or image analysis
  • Strong expertise with GIS concepts and extensive experience using ArcGIS platform technologies
  • Demonstrated ability to conduct applied research and rapidly prototype analytical workflows using Python
  • Excellent written and verbal communication skills, with the ability to clearly communicate technical concepts to diverse audiences
  • Bachelor's degree in computer science, Geography, Remote Sensing, Geophysics, Geomatics, or a related field

Recommended Qualifications
  • Master's degree in computer science, Geography, Remote Sensing, Geophysics, Geomatics, or a related field
  • Experience processing and analyzing remote sensing data using modern computer vision, AI, and machine learning techniques
  • Knowledge of managing and analyzing multispectral, hyperspectral, SAR, thermal, and other remote sensing data
  • Experience automating imagery workflows using ArcPy, the ArcGIS API for Python, or similar tools
  • Familiarity with cloud platforms such as Azure and AWS for managing and processing geospatial imagery
  • Understanding of imagery management best practices, industry standards (OGC, STAC, COG), and modern data storage strategies
  • Experience working on research, product, or software development teams focused on remote sensing and integrating ArcGIS imagery capabilities with enterprise systems

#LI-TA1
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$120,640-$193,752 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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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