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

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 ...

CGI Inc.

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

Perform large scale data analysis, transformation, and automation using Python, including handling massive datasets. . Develop and maintain Java based APIs and microservices for data access ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Pwc

GenAI Python Systems Engineer-Manager

Raleigh, NC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics. * Build and maintain reliable data integrations from internal and ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise reporting and analytics. * Build and maintain reliable data integrations from internal and ...

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Weekend Python Data Analyst information

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$33.1K

$80.3K

$132.2K

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

As of Jul 12, 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 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 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 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.

Weekend Python Data Analyst jobs near you
Senior Manager, Advanced Data Analytics and Insights

Senior Manager, Advanced Data Analytics and Insights

Fidelity Investments

Durham, NC • On-site

Full-time

Posted 25 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


Position Description:
Develops, debugs and supports Python, complex SQL on Snowflake (AWS) and Oracle. Optimizes performance for large data sets. Manages ELT/ETL pipelines. Creates Data models in Atscale, Power BI and Tableau for reporting and analytics. Builds, updates and maintains technical documentation for software-based projects and products. Interacts effectively with business partners to understand requirements and assist in creation of technical requirements. Translates the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Works closely with architects to design most viable products for future solutions and benefits.
Primary Responsibilities:
  • Participates in architecture design teams.
  • Defines and implements application-level architecture.
  • Develops applications on complex projects, components, and subsystems for the division.
  • Recommends development testing tools and methodologies and reviews and validates test plans.
  • Responsible for QA readiness of software deliverables.
  • Develops comprehensive documentation for multiple applications or subsystems.
  • Establishes full project life cycle plans for complex projects across multiple platforms.
  • Responsible for meeting project goals on-time and on-budget.
  • Advises on risk assessment and risk management strategies for projects.
  • Plans and coordinates project schedules and assignments for multiple projects.
  • Acts as a primary liaison for business units to resolve various project/technology issues.
  • Provides technology solutions to daily issues and technical evaluation estimates on technology
  • Advises senior management on technical strategy.
  • Performs independent and complex technical and functional analysis for multiple projects

supporting several divisional initiatives.
  • Develops original and creative technical solutions to on-going development efforts.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) designing and developing applications for a finance environment -- Assets & flows, Profitability, Expenses, Revenue, Tax and Treasury, and Technology Business Management.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) designing and developing applications for a finance environment -- Assets & flows, Profitability, Expenses, Revenue, Tax and Treasury, and Technology Business Management.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") building universal semantic layers and complex data models in Atscale and Power BI desktop using multiple data sources -- Snowflake, Oracle, and SQL Server; building composite models using Assets and Flows, profitability, revenue, expense and UID critical data; and scaling data models by bridging data and decision-making functions using Python scripts.
  • DE designing and building Enterprise standard security process for universal semantic layer (Atscale) common to Power BI, Tableau, and Portal; designing large data sets and implementing pre-aggregations, using Snowflake's data modeling patterns to avoid data wrangling and inaccuracies; and processing data into analytics and reports for real-time insights using Azure analytics, Power BI, and Tableau.
  • DE implementing ETL/ELT using python snowsql on Snowflake (AWS), and adhering the enterprise standards and solutions; designing and implementing solution architecture for the business functions using Devops tools -- Git, Jenkins, Udeploy and CNTLM; completing data analysis for the end-to-end data life cycle -- using advanced SQL, modeling (multi-dimensional cubes), mapping, transformation, and distribution using Snowflake, AWS, Azure and Python; and performing impact analyses, reporting, visualization, and dashboard creation using Power BI and Tableau.
  • DE adhering to Agile methodologies to review and plan the deliverables within prescribed time frames for current and future sprints; utilizing API calls to analyze technology solutions for supporting model deployment and integration in Cloud and on-premises environments, and building model deployment and integration workflows.

#PE1M2
#LI-DNI
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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