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

... 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 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 ...

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 ...

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 ...

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 ...

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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

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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 May 30, 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?

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.

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.

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 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:
Infographic showing various Python Data Analyst job openings in Raleigh, NC as of May 2026, with employment types broken down into 3% As Needed, 62% Full Time, 21% Part Time, 3% Temporary, 9% Contract, and 2% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Data Engineer - Project Delivery Analyst

Data Engineer - Project Delivery Analyst

Deloitte

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm seeking an experienced Data Engineer - Project Delivery Analyst. In this role, you will support a Data & Analytics Foundry by building reliable data pipelines and curated datasets for analytics, while collaborating with various teams to optimize processes and deliver quality outcomes.
Responsibilities:
• Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
• Develop and maintain Snowflake objects (schemas, tables, views) and performant SQL transformations to produce curated, analytics-ready datasets.
• Implement workflow automation and scheduling (e.g., Airflow/MWAA, Step Functions, Glue) with proper dependencies, retries, and logging.
• Apply data quality checks and basic observability (validation rules, reconciliation, alerts) and support incident triage and remediation.
• Optimize pipeline and query performance with guidance (efficient Python, partitioning/file formats in S3, Snowflake warehouse usage and query tuning).
• Follow CI/CD and IaC standards (e.g., Git-based workflows, Terraform/CloudFormation changes) to promote code across environments.
• Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
• Contribute to code reviews (give/receive), unit tests, and peer debugging; learn and apply team engineering standards.
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
Qualifications:
Required:
• 1+ year of experience building/enhancing data pipelines and curated datasets for analytics/downstream consumers.
• 1+ year of hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
• 1+ year of experience with cloud data engineering on AWS (preferred) or Azure/GCP, including orchestration/scheduling (e.g., Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
• Understanding of ELT patterns and Lakehouse/warehouse concepts; familiarity with S3 file formats/partitioning (e.g., Parquet/Delta).
• Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
• Understanding data quality, basic observability, and metadata/governance fundamentals.
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred:
• Agile delivery experience.
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
• Can operate independently or with minimum supervision.
• Excellent written and communication skills.
• Ability to deliver technical demonstrations.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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