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

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

$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 ...

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics. * DE performing ...

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

About Sennos Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and ... Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

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

Python Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do python data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for 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 does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Raleigh, NC? The most popular types of Python Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Python Data Analyst jobs in Raleigh, NC? For Python Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Python Data Analyst jobs in Raleigh, NC are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% As Needed, 33% Full Time, 53% Part Time, 10% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Lead Data Engineer

Envestnet

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

Description

Job Location   

The primary work location for this role is Raleigh, NC with a hybrid work model.   

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.   

The Team You’ll Join  

The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and be responsible for data pipeline solutions design and development, troubleshooting, and optimization tuning on the next generation data and analytics platform being developed with leading edge big data technologies in a highly secure cloud infrastructure. The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on functional teams or projects.

How You’ll Contribute   

  • Deliver end-to-end data and analytics capabilities, including data ingest, data transformation, data science, and data visualization in collaboration with Data and Analytics stakeholder groups. 
  • Design and deploy databases and data pipelines to support analytics projects.
  • Develop scalable and fault-tolerant workflows.
  • Clearly document issues, solutions, findings and recommendations to be shared internally & externally.
  • Learn and apply tools and technologies proficiently, including: 
  • Languages: SQL (standard and DB-specific), Python, Scala, Bash 
  • Frameworks: Hadoop, Spark, Kafka 
  • Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning 
  • Cloud Computing: AWS 
  • Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI 
  • Performance optimization for queries and dashboards.
  • Develop and deliver clear, compelling briefings to internal and external stakeholders on findings, recommendations, and solutions.
  • Analyze client data & systems to determine whether requirements can be met.
  • Test and validate data pipelines, transformations, datasets, reports, and dashboards built by team.
  • Develop and communicate solutions architectures and present solutions to both business and technical stakeholders.
  • Provide end user support to other data engineers and analysts.
  • Be a team leader and take lead role on functional teams or projects.
  • Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions. 
  • Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
  • Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested. 
  • As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.

What You’ll Need to Bring  

  • 8-12 years of relevant experience or equivalent combination of experience and education.
  • Expert experience in the following: 
  • 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 related tools such as Gitlab, AWS CodeCommit, etc.
  • AWS services including EMR, Glue, Athena, Batch, Lambda Cloudwatch, DynamoDB, EC2, Cloudformation, IAM and EDS.
  • Solid scripting skills (e.g., bash/shell scripts, Python). 
  • Proven work experience in the following: 
  • Data streaming technologies 
  • Using LLMs, creating RAG, choosing vector vs graph db for embedding, etc. 
  • Big Data technologies including, Hadoop, Spark, Hive, Teradata, etc. 
  • Linux command-line operations.
  • Networking knowledge (OSI network layers, TCP/IP, virtualization).
  • Candidate should be able to lead the team, communicate with business, gather and interpret business requirements.
  • Experience with agile delivery methodologies using Jira or similar tools.
  • Experience working with remote teams

Nice-to-Haves  

  • AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus.
  • Bachelor Degree in Computer Science or relevant field, Masters Degree is a plus.

Why You’ll Enjoy Working at Envestnet  

Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. 

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.  

The opportunity is now!  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

Our Investment in You 

At Envestnet, our total rewards philosophy is designed to attract, motivate, and grow exceptional talent. We offer competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs that recognize and reward impact.  

 

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

   

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

 

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at  careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.      

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

#LI-AQ1 #LI-REMOTE

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