1

Weekend Python Data Analyst Jobs (NOW HIRING)

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, develop insights, and drive data-driven decision-making across the Business. The Trading department ...

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

Data Analyst Senior

Mclean, VA

$88.20K - $111.30K/yr

Must Haves: Python is a must-have they need to be able to read existing code but they won't be ... Need seasoned Data analyst. Ideally, a Python data analyst will work here. Strong SQL Big data ...

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... Experience with analytics reporting and business analysis * Strong stakeholder communication and ...

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to ... Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and ...

New

Data Analyst Must sit in McLean - hybrid, no other locations right now Duration: ~6 months will ask ... Python - Intermediate level - makes a call to the APIs and queries to snowflake SQL - must be ...

Python - Intermediate level - makes a call to the APIs and queries to snowflake * SQL - must be ... Data analysis - Soft skills/communication - their data and communication goes all the way to the ...

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ... Analytical Skills: Ability to perform complex data manipulation, statistical analysis, and ...

next page

Showing results 1-20

Weekend Python Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jun 3, 2026, the average yearly pay for weekend python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What cities are hiring for Weekend Python Data Analyst jobs? Cities with the most Weekend Python Data Analyst job openings:
What are the most commonly searched types of Python Data Analyst jobs? The most popular types of Python Data Analyst jobs are:
What states have the most Weekend Python Data Analyst jobs? States with the most job openings for Weekend Python Data Analyst jobs include:

Python Data Analyst

bet365

Denver, CO • On-site

$65K - $75K/yr

Full-time

Posted 15 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.