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Statistics Python Pandas Matplotlib Tableau Jobs

Snowrelic Inc

Python Developer

Washington, DC · On-site

$57 - $78.50/hr

Hands-on experience with reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash, etc.). * Utilize Microsoft Graph API * Familiarity with PlainID platforms.

Tech Consulting

Be Seen First

Data Scientist

Tampa, FL · On-site

$35 - $42/hr

... of Python (Pandas, NumPy, Matplotlib, Seaborn) Understanding of statistics and probability ... Tableau, Power BI) Basic understanding of cloud platforms (AWS, Azure, GCP)

IT America Inc

Data Analyst

Atlanta, GA · On-site

Experience with Python libraries such as Pandas, Matplotlib, or Seaborn * Experience working in ... Familiarity with statistical analysis techniques * Experience working in Agile environments

Quanta Search

Quantitative Developer

Austin, TX · On-site

Experience with the scientific python stack, numpy, scipy, pandas, matplotlib * Ability to find practical solutions and successfully make trade-offs between long term goals and short term ...

Quanta Search

Quantitative Developer

Austin, TX · On-site

Experience with the scientific python stack, numpy, scipy, pandas, matplotlib * Ability to find practical solutions and successfully make trade-offs between long term goals and short term ...

Edify Technologies India Pvt Ltd

Data Analyst

Python/ Pandas/ Matplotlib and the rest of Pythons data science universe experience is a plus. * Statistical analysis experience is a plus. * Self-sufficiency, strong project management and ...

Apple

Cellular Data & Automation Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

... Python, Pandas, Matplotlib and other key related tools.Solid knowledge and experience with ... Proficiency in data visualization tools (such as Tableau) and a strong understanding of data ...

BravoTech

Data Modeller / Engineer II

Houston, TX · On-site

The ideal candidate will have practical experience using Python, Pandas, SQL, and statistical ... Experience with Scikit-learn, NumPy, Matplotlib, or Jupyter Notebook. * Exposure to cloud platforms ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

... Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting * Data Visualization Power BI Tableau Matplotlib Seaborn * Big ...

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). * Collaborate with cross ...

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All JobsStatistics Python Pandas Matplotlib Tableau Jobs

Statistics Python Pandas Matplotlib Tableau information

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How much do statistics python pandas matplotlib tableau jobs pay per year?

As of May 31, 2026, the average yearly pay for statistics python pandas matplotlib tableau in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst specializing in Statistics, Python, Pandas, Matplotlib, and Tableau, and why are they important?

To thrive as a Data Analyst in this area, you need a strong foundation in statistical analysis, data manipulation, and a relevant degree in mathematics, statistics, or a related field. Proficiency with Python (especially Pandas and Matplotlib for data processing and visualization) and Tableau for interactive dashboards are essential technical skills, with certifications in analytics or data science being advantageous. Strong analytical thinking, attention to detail, and the ability to communicate complex insights clearly set top performers apart. These skills are crucial for transforming raw data into actionable business insights and driving data-informed decision-making.

How does a Statistics Python Pandas Matplotlib Tableau professional typically collaborate with cross-functional teams to deliver data-driven insights?

Professionals skilled in Statistics, Python, Pandas, Matplotlib, and Tableau often work closely with stakeholders from various departments, such as marketing, finance, and product management. They gather requirements, analyze raw data using Python and Pandas, create visualizations with Matplotlib, and design interactive dashboards in Tableau to present findings. Regular meetings and clear communication are essential for understanding business needs and iterating on analyses. This collaborative approach ensures that the insights generated are actionable and tailored to support organizational objectives.

What are Statistics Python Pandas Matplotlib Tableau jobs?

Statistics Python Pandas Matplotlib Tableau jobs typically involve using statistical methods and data analysis tools to extract insights from data. Professionals in these roles use Python programming and libraries like Pandas for data manipulation, Matplotlib for data visualization, and Tableau for creating interactive dashboards and reports. These jobs are common in fields such as data science, business analytics, and research, where professionals analyze large datasets to support decision-making. The combination of these skills enables efficient data cleaning, exploration, visualization, and presentation to stakeholders.

Can you do statistics in Tableau?

Statistics is a core feature of Tableau, allowing users to perform data analysis such as trend lines, forecasting, clustering, and statistical summaries directly within the platform. As a data visualization and analysis tool, Tableau integrates statistical functions that support data-driven decision making, making it suitable for roles involving data analysis and reporting. Knowledge of statistical concepts enhances the ability to interpret and communicate insights effectively in such positions.

What is the difference between Statistics Python Pandas Matplotlib Tableau vs Data Analyst?

AspectStatistics Python Pandas Matplotlib TableauData Analyst
Required skillsStatistical analysis, programming, data visualization toolsData interpretation, reporting, basic programming
Work environmentData science teams, analytics departmentsBusiness units, marketing, finance
Tools usedPython, Pandas, Matplotlib, TableauExcel, SQL, Tableau, Python (optional)
Industry usageData science, analytics, researchBusiness intelligence, marketing, operations

Statistics Python Pandas Matplotlib Tableau specialists focus on advanced data analysis and visualization using programming skills, often within data science teams. Data Analysts perform similar tasks but typically emphasize business reporting and data interpretation with a broader set of tools. While both roles require analytical skills, Statistics Python Pandas Matplotlib Tableau roles are more technical and programming-intensive, whereas Data Analysts focus on translating data into actionable insights for business decisions.

Python Developer

Python Developer

Snowrelic Inc

Washington, DC • On-site

$57 - $78.50/hr

Contractor

Posted yesterday

Job description

Role: Python Developer 

Location: DC 

Required Skills and Experience: 

  • Hands-on experience, proficiency in Python development environment using framework such Fast API, Pandas, NumPy, bs4, AWS, Azure SDKs, AI frameworks. 
  • Experience with creating dashboards, reports based on data sources, plat file data. Microsoft Power BI reporting tool skills. 
  • MSAL and Graph API with SharePoint and Azure skills. 
  • Connector development skills using Python and APIs. 
  • Integrate Python with AI to perform access control data reviews and identify exceptions. 
  • Experience with PowerShell and bash script for CI/CD and access control reviews. 
  • Experience with Azure's OpenAI technologies and familiarity with machine learning frameworks, indicating the ability to integrate AI capabilities into applications. 
  • Strong understanding of access control data models (e.g., RBAC, ABAC). 
  • Deep understanding in using any of the DevOps tools such as Azure DevOps. 
  • Integration skills. 
  • Hands-on experience with reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash, etc.). 
  • Utilize Microsoft Graph API  
  • Familiarity with PlainID platforms.