ZipRecruiter

Log In

1

Weekend Python Data Analyst Jobs in Raleigh, NC (NOW HIRING)

TEKsystems

Data Scientist

Cary, NC · Hybrid

$60 - $65/hr

Perform analysis using SQL and Python on large datasets * Partner cross-functionally to define metrics and measure impact Must-Have Qualifications * 3-5+ years of data science or analytics experience

Apex Systems

Python Developer

Durham, NC · Remote

$70 - $75/hr

Gather and analyze system requirements, document specifications, and develop software solutions ... Work with databases, utilizing strong SQL fundamentals and ORM tools for data handling. Utilize ...

Duke University

Data Analytics Fellow

Durham, NC

Proficiency with data analysis in Python or R, and SQL. Experience with creating dashboards or other data visualizations within analytics platforms. Understanding of different data formatting (JSON ...

Duke University

Data Analytics Fellow

Durham, NC · On-site

... Python or R, and SQL. • Experience with creating dashboards or other data visualizations within analytics platforms. • Understanding of different data formatting (JSON, CSV, Parquet) and data ...

GFT.

Senior GIS Analyst

Raleigh, NC

$90K - $115K/yr

GFT is seeking a Senior GIS Analyst to join our Geospatial team on the East Coast. Preference will ... Python scripting for data ingestion and normalization. * Proficient with ArcGIS Online and ArcGIS ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

SQL, Python, PySpark. Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics technologies including SQL/NoSQL/Graph databases, ETL, and BI. * Knowledge of CI/CD and ...

next page

Showing results 1-20

People also search for

All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in Raleigh, NC

Weekend Python Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of May 31, 2026, the average yearly pay for weekend python data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 near Raleigh, NC are hiring for Weekend Python Data Analyst jobs? Cities near Raleigh, NC with the most Weekend Python Data Analyst job openings:
Weekend Python Data Analyst jobs near you
Data Analytics Senior Consultant - Data Lake

Data Analytics Senior Consultant - Data Lake

Deloitte

Raleigh, NC • On-site

Other

Posted 4 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Senior Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
  • Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
  • Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
  • Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.

Qualifications:

Required:

  • 2+ years of relevant Analytics consulting or industry experience
  • 2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
  • 2+ years experience in statistical analysis, machine learning, and data mining techniques.
  • 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
  • 2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 1+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
  • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

#CDRCyber26
Qualifications:

Senior Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
  • Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
  • Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
  • Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.

Qualifications:

Required:

  • 2+ years of relevant Analytics consulting or industry experience
  • 2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
  • 2+ years experience in statistical analysis, machine learning, and data mining techniques.
  • 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
  • 2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 1+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
  • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

#CDRCyber26
Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply