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Business Analyst Sql R Python Jobs in Cary, NC (NOW HIRING)

Iatinsurancegroup

Business Intelligence Analyst

Raleigh, NC · On-site +1

  • Medical

  • Retirement

  • PTO

IAT Insurance Group has an immediate opening for a Business Intelligence Analyst from our Raleigh ... Basic SQL and Python experience. * Collaborates productively with internal/external partners ...

Dlapiper

Market & Business Intelligence Manager

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Lead analytics projects from scope to delivery, ensuring timelines, quality standards, and ... Strong skills in the Microsoft environment (e.g., Fabric, Azure), Python, R, or SQL, with ...

Dellfor Technologies

SQL developer

Raleigh, NC

$80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Participates in project stand-up meetings with Business Analysts and IT staff to assess business ... Previous experience with SSIS and SSRS is preferred * Demonstrates initiative and works ...

Infojini Inc

Sr. Programmer Analyst / Developer

Raleigh, NC

$43.25 - $58.50/hr

Strong Business Analyst Skills MS-SQL SSIS C# ASP.net Web Services XSLT and XML Team Foundation 2010 SQL Server 2012 Extensive knowledge of the SDLC (System Development Life Cycle) Experience with ...

Infojini Inc

Quality analyst

Raleigh, NC

We are Looking for Business analyst position based in Raleigh NC for 3 years contract position ... Prepare and executes SQL commands to manage and verify data. * Designs, maintains, executes, and ...

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

  • Medical

  • PTO

... business decisions. Create interactive dashboards and reports to let important players grasp ... SQL, Excel, or data visualization technologies including Tableau and Power BI. Knowing R or Python ...

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Business Analyst Sql R Python information

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How much do business analyst sql r python jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for business analyst sql r python in Cary, NC is $43.94, according to ZipRecruiter salary data. Most workers in this role earn between $32.98 and $55.00 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do business analysts with SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

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Senior or Lead Azure Databricks Engineer with Python and Spark - W2 Role

Saransh Inc

Raleigh, NC • On-site

Contractor

Re-posted 29 days ago

Job description

Role: Senior / Lead Azure Databricks Engineer with Python & Spark
Location: Raleigh, NC (Onsite from Day 1)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Senior (Min 10 plus yrs with Azure Data)
 

Main skill: Data Software Engineering

Skill Spec: DSE Python Azure Databricks

 
Must have skills (Mandatory):
  • Apache Spark
  • Python
  • Azure Data Factory
  • Azure SQL Microsoft
  • Azure Synapse Analytics
  • ETL/ELT Solutions
Nice to have skills:
  • Apache Kafka
  • CI/CD
 
Experience & Qualifications:
  • Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
  • Working knowledge of Python
  • Expert level skills writing and optimizing complex SQL
  • Experience with complex data modeling, ETL design, and using large databases in a business environment
  • Experience with building data pipelines and applications to stream and process datasets at low latencies
  • Fluent with Big Data technologies like Spark, Kafka and Hive
  • Designing and building data pipelines using API ingestion and Streaming ingestion methods
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code
  • Experience in developing NoSQL solutions using Azure Cosmos DB
  • Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Key Responsibilities:
  • Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
  • Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
  • Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
  • Utilize Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making
  • Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging