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Full Time Python Data Analysis Jobs (NOW HIRING)

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets ... Presenting research and analysis in a clear and concise manner. * Assisting in the creation and ...

Python Data Analyst

Denver, CO · On-site

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets ... Presenting research and analysis in a clear and concise manner. * Assisting in the creation and ...

... analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and ...

... analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and ...

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Attention to detail Preferred: * Strong Python data management programming skills * Data Visualization experience with ...

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and ... Experience with Python data science and visualization packages * Experience with Excel MBA * An ...

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Full Time Python Data Analysis information

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How much do full time python data analysis jobs pay per hour?

As of May 29, 2026, the average hourly pay for full time python data analysis in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

More about Full Time Python Data Analysis jobs
What cities are hiring for Full Time Python Data Analysis jobs? Cities with the most Full Time Python Data Analysis job openings:
What are the most commonly searched types of Python Data Analysis jobs? The most popular types of Python Data Analysis jobs are:
What states have the most Full Time Python Data Analysis jobs? States with the most job openings for Full Time Python Data Analysis jobs include:
Infographic showing various Full Time Python Data Analysis job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 9% As Needed, 28% Full Time, 23% Part Time, 34% Contract, and 4% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

$65K - $75K/yr

Full-time

Posted 9 days ago


Bet365 rating

9.7

Company rating: 9.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

Company Description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide.

Job Description

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business.

The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.

Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products.

This is an exciting opportunity for aspiring data scientists to gain hands-on experience and apply their skills to implement impactful solutions.

The salary range for this position is $65,000-$75,000 annually.

Qualifications
  • Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study.
  • Proficient in Python and SQL languages is essential.
  • Basic understanding of data science principles and methods.
  • Ability to deliver solutions through quantitative research, using multiple data sources.
  • Self-motivated to research and deliver change within the department.
  • Strong analytical and problem-solving skills
  • Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders and senior management.
  • Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning toolkits.
Additional Information
  • Collecting, processing, and analyzing large datasets using various tools and techniques.
  • Developing and maintaining dashboards and other data products.
  • Instilling accurate and effective reporting channels.
  • Presenting research and analysis in a clear and concise manner.
  • Assisting in the creation and implementation of rules-based or Machine Learning models.
  • Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.