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Remote Data Analyst Python Jobs in Frisco, TX (NOW HIRING)

VytlOne

Sr. Epic Data Acquisition Analyst

Plano, TX · On-site +1

$82K - $103K/yr

Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ... Coordinate with VytlOne data platform, analytics, and 340B business teams, and with external ...

VytlOne

Sr. Epic Data Acquisition Analyst

Plano, TX · On-site +1

$82K - $103K/yr

Position Location This is a remote-based position within the Continental US. Who We Are VytlOne is ... Coordinate with VytlOne data platform, analytics, and 340B business teams, and with external ...

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... to join the data analytics team. You will have the opportunity to work as part of a cross ...

CEDENT

Python Developer (Dallas, TX; Remote)

Dallas, TX · On-site +1

$40 - $60/hr

... huge plus Strong Analysis skills Working knowledge of Unix OS /Shell scripting Basic Python ... Worked on NetSuite ERP system for setting up data transfer and invoice generation using SOAP Web ...

Cedent

Python Developer (Dallas, TX; Remote)

Dallas, TX · On-site +1

$40 - $60/hr

... Data Governance and Business Intelligence teams to support Fidelity's or vendor Data Management ... Strong Analysis skills * Working knowledge of Unix OS /Shell scripting * Basic Python knowledge is ...

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ... Collaborate with cross functional teams including data architects, analysts, scientists, and ...

YO AI Labs

GIS/Geospatial Expert

Dallas, TX · Remote

$80 - $100/hr

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

Confie

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... analysis, and integration using Python Ability to work with multiple data sources and types ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Frisco, TX

Remote Data Analyst Python information

See Frisco, TX salary details

$31.8K

$77.3K

$127.3K

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

As of Sep 3, 2026, the average yearly pay for remote data analyst python in Frisco, TX is $77,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 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 are popular job titles related to Remote Data Analyst Python jobs in Frisco, TX?

For Remote Data Analyst Python jobs in Frisco, TX, the most frequently searched job titles are:

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

The top searched job categories for Remote Data Analyst Python jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Remote Data Analyst Python jobs?

Cities near Frisco, TX with the most Remote Data Analyst Python job openings:

Remote Data Analyst Python jobs near you
Infographic showing various Remote Data Analyst Python job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 19% Part Time, and 13% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,346 per year, or $37.2 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • Remote

Full-time

Re-posted 11 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.