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Remote Data Analyst Python Jobs in Fremont, CA (NOW HIRING)

Data Engineer - REMOTe

San Jose, CA · Remote

$134K - $161K/yr

Key Responsibilities · Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze ... Preferred Qualifications · Experience with Python or similar programming languages for advanced ...

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Sunnyvale, CA Or Remote - PST Time zone Duration: 6 to 12+ Months Rate: DOE Summary : Seasoned ... Design and Implement Data driven product workflows. Analyze and Fine tune Django ORM queries for ...

... data analyses, modeling, visualization and communication of results. * Knowledge of Python ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Finance Data Lead

San Francisco, CA · Remote

$210K - $250K/yr

... analyses to scalable reporting infrastructure. What You'll Be Doing: * Own financial data workflows end-to-end -- from sourcing and transforming raw data (SQL, Python, etc.) to building clean ...

The James/Jayne Bond of Data Analysis * Sophisticated technical mastery of SQL, Python, Databricks, BigQuery * Cool under pressure - thrives in tackling high-stakes, complex data challenges.

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Remote Data Analyst Python information

See Fremont, CA salary details

$37.2K

$90.5K

$148.9K

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

As of Jun 20, 2026, the average yearly pay for remote data analyst python in Fremont, CA is $90,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,200.00 per year, depending on experience, location, and employer.

How can I make $2000 a week working from home?

A remote data analyst can earn $2000 or more weekly by working on multiple freelance projects, consulting for clients, or securing high-paying contracts that leverage skills in Python, data visualization, and statistical analysis. Building a strong portfolio, gaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities.

What is the meaning of the word remote?

In the context of a remote data analyst role, 'remote' means working outside of a traditional office environment, often from home or another location of the employee's choice. It allows for flexible scheduling and requires strong communication skills and proficiency with digital collaboration tools.

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 best remote control for Alzheimer's patients?

A remote data analyst role involves working with data tools and software, but it does not relate to remote controls for Alzheimer's patients. For managing Alzheimer's, specialized remote controls with simplified interfaces, large buttons, and voice-activated features are recommended to assist patients with cognitive impairments. Consulting healthcare professionals or caregivers can help identify the most suitable devices based on individual needs.

What is the meaning of remote in one word?

In the context of a remote data analyst Python role, 'remote' means working outside a traditional office environment, typically from any location with internet access. It allows flexibility in work setting and often involves virtual collaboration tools. The term emphasizes location independence for the job.

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), and why are they important?

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.

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.

What job categories do people searching Remote Data Analyst Python jobs in Fremont, CA look for? The top searched job categories for Remote Data Analyst Python jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Remote Data Analyst Python jobs? Cities near Fremont, CA with the most Remote Data Analyst Python job openings:
Principal Operations Data Analyst

Principal Operations Data Analyst

Pacific Gas and Electric Company

Oakland, CA • On-site, Remote

$140K/yr

Other

Posted 13 days ago


Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Requisition ID # 171393 

Job Category: Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland

Department Overview 

The Procurement Organization includes a staff of more than two hundred sourcing managers, buyers, analysts, and supplier diversity personnel. Our mission is to deliver cost effective and valued procurement services through strategic, diverse, and sustainable business solutions. Our work requires close integration with all lines of business, finance, and our suppliers.

The Procurement Excellence Center (PEC) is a strategic function dedicated to driving procurement transformation, operational efficiency, and value creation across the organization. Within the Procurement organization, the PEC establishes best practices, standardizes processes, and leverages advanced analytics and market intelligence to enable data-driven decision-making. The PEC collaborates with all Procurement teams to enhance capabilities, improve performance, and optimize costs. Key focus areas include market intelligence and analytics, digital procurement transformation, risk management, supplier relationship management, governance, and capability development.

Position Summary

The Principal Operations Data Analyst  drives advanced analytics and modeling efforts to support strategic, datadriven decisions across PG&E's Procurement Excellence Center. The role leads complex initiatives that enhance procurement performance, operational efficiency, and cost optimization.

This role is accountable for identifying, prioritizing, and deploying AI use cases across Procurement and Supply Chain, from problem framing through production deployment and value realization. The Principal Operations Data Analyst acts as a bridge between business, digital, and IT teams to operationalize AI solutions that improve productivity, reduce cost, manage risk, and enhance supplier collaboration. 

This position is hybrid, working from your remote office and Oakland based on business needs or company requirements. 

PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint <$140,000 - $189,000>. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.

Bay Area Min: $140,000

Bay Area Mid: $ 189,000

Bay Area Max: $ 238,000

Reporting Relationship

The Principal Operations Data Analyst will report to the Sr Director, Procurement Excellence Center.

Job Responsibilities

  • Owns the endtoend lifecycle of AI use cases across SourcetoPay and Supply Chain, including ideation, business case development, pilot execution, scaling, and sustained adoption.
  • Partners with Procurement, Supply Chain, IT, Digital, and Data teams to translate business problems into deployable AI solutions.
  • Measures and communicates realized value (cost savings, cycletime reduction, risk mitigation, productivity gains) from AI deployments.
  • Leads the design and deployment of agentic AI and intelligent automation solutions across SourcetoPay and Supply Chain processes, including sourcing, contracting, buying, supplier management, and fulfillment.
  • Acts as a thought leader applying extensive data processing and data analysis expertise in the development of strategy or resolution to complex data issues. Creates very complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
  • Applies advanced analytics and data engineering techniques to support AI- driven decision making Presents/communicates clear, concise and actionable data analyses for clients.
  • Acts as team lead and provides direction to less experienced employees.
  • May work with Senior Management to develop business related strategy, leveraging data in decision making.
  • Ensures data quality, governance, and traceability across integrated tools and analytical models.

Background Qualifications

Minimum

  • BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
  • 8 Years related work experience

Desired

  • 6 Years in Supply Chain and Procurement as a data analyst or a data scientist
  • Masters Degree
  • Handson experience deploying machine learning, generative AI, or agentbased systems into production business workflows for Supply chain
  • Experience operationalizing AI solutions within enterprise platforms (e.g., SAP, Ariba, or adjacent procurement technologies).
  • Familiarity with utility operations.
  • Understanding of SAP and Ariba
  • Ability to influence senior leaders and drive adoption of AIenabled ways of working.
  • Advanced skill in writing SQL queries using Oracle or Business Objects
  • Expertise in project management to lead large, cross functional projects and develop concise data findings for Sr. Management.