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

BI Data Analyst III

Durham, NC · On-site

$90K - $118K/yr

Advanced SQL knowledge and experience working with messy data required * Working knowledge of dbt ... Experience with a scripting language (preferably Python) for data processing and analysis a plus

Data and AI Analyst Location: Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI ... with Python, R, SQL, or other data programming languages. • Understanding of ethical AI, data ...

Experience with tools and software such as Databricks, SQL, and data visualization platforms such ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.

Digital Analyst Internships

Raleigh, NC · On-site

$95K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Durham, NC · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Senior Data Engineer

Durham, NC

$102K - $139K/yr

Performs distributed application design and development, using Informatica, Python, SQL, Oracle ... Performs independent and complex technical and functional analysis for multiple projects supporting ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Performs distributed application design and development, using Informatica, Python, SQL, Oracle ... Performs independent and complex technical and functional analysis for multiple projects supporting ...

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

Job Requirements Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an ... Strong analytical thinking and problem-solving capabilities. Collaborate effectively with ...

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

Job Requirements Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an ... Strong analytical thinking and problem-solving capabilities. Collaborate effectively with ...

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Data Analyst Python Sql information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jun 24, 2026, the average yearly pay for data analyst python sql 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.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Raleigh, NC? For Data Analyst Python Sql jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Raleigh, NC look for? The top searched job categories for Data Analyst Python Sql jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analyst Python Sql jobs? Cities near Raleigh, NC with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. 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.
Senior Enterprise Data Analyst

Senior Enterprise Data Analyst

First Citizens Bank

Raleigh, NC • Hybrid

$145K - $200K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks


Job description

Overview

This is a hybrid role, with the expectation that time working will regularly take place inside and outside of a company office.

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

The Senior Analyst will play a critical leadership role within an Agile data pod supporting the enterprise data environment that underpins Corporate Finance and Regulatory Reporting. This role bridges business, data, and technology to ensure delivery of high-quality, compliant, and scalable data solutions. 

Operating at a strategic and execution level, the individual will drive regulatory data remediation, strengthen data governance, and enable Corporate Finance and Regulatory Reporting teams to meet evolving regulatory expectations with confidence and precision. 


Responsibilities

Finance andRegulatory Data Strategy & Remediation Leadership 

  • Lead end-to-end data remediation initiatives focused on accuracy, completeness, and timeliness of regulatory reporting data 
  • Define and prioritize remediation roadmaps aligned with regulatory commitments (e.g., FR Y-14, Y-9C, Call Reports) 
  • Provide thought leadership on improving data quality frameworks and control environments 
  • Partner with senior stakeholders to drive enterprise data maturity 

Requirements & Agile Delivery Leadership

  • Own requirements lifecycle: intake, decomposition, prioritization, and traceability 
  • Lead Agile ceremonies and guide backlog prioritization to align with regulatory and business goals 
  • Translate complex regulatory/data requirements into structured user stories and technical specifications 

Data Quality, Governance & Controls

  • Design and implement robust data quality rules, controls, and monitoring frameworks 
  • Strengthen data lineage, reconciliation, and traceability across critical data flows 
  • Partner with Data Governance teams to enforce standards across metadata, lineage, and critical data elements 
  • Drive data defects to remediation and closure working with key stakeholders 
  • Drive adoption of enterprise tools (e.g., Collibra) and governance practices 

Stakeholder Engagement & Executive Communication

  • Serve as a key interface between Finance, Regulatory Reporting, Technology, and Data  
  • Influence senior stakeholders and provide clear, actionable insights on data risks and remediation progress 
  • Lead data and regulatory discussions, including responses to edit checks and supervisory inquiries 
  • Communicate program status, risks, and dependencies to leadership forums 

Root Cause Analysis & Issue Resolution

  • Lead deep-dive analyses of data quality issues  
  • Identify systemic root causes and define sustainable remediation solutions 
  • Establish issue management frameworks with clear ownership, SLAs, and escalation paths 

Data Architecture & Modernization

  • Partner with Data and Enterprise Architecture and Engineering teams to drive migration to modern data platforms (e.g., Snowflake, AWS, Azure) 
  • Ensure modernization initiatives improve data quality, scalability, and regulatory compliance 
  • Promote adoption of advanced data capabilities including automation and AI/ML where appropriate 

Testing, Validation & Documentation

  • Define acceptance criteria and oversee validation of data solutions 
  • Ensure completeness of documentation including:  
  • Business requirements 
  • Source-to-target mappings 
  • Data lineage and metadata 
  • Support internal audits and regulatory reviews 

Qualifications

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Preferred Experience 

  • 15+ years of experience in data management, data quality, or regulatory data within financial services 
  • Proven leadership in regulatory reporting data remediation (FR Y-14 strongly preferred) 
  • Experience working with large, complex banking organizations 

Functional Expertise 

  • Deep knowledge of:  
  • Finance and Regulatory data in banking industry 
  • Data quality frameworks and controls 
  • Data governance and lineage 
  • Strong understanding of Finance data domains and regulatory expectations 

Technical Skills 

  • Strong SQL and experience with enterprise data platforms:  
  • Snowflake, Oracle, SQL Server, Netezza 
  • Familiarity with:  
  • ETL/data pipelines and data virtualization 
  • Data governance tools (e.g., Collibra) 
  • Data visualization (Power BI, Tableau) 
  • Python / advanced analytics (preferred) 
  • Experience with cloud platforms (AWS/Azure) 

Leadership & Collaboration 

  • Demonstrated ability to lead cross-functional initiatives across global teams 
  • Strong executive communication and stakeholder management skills 
  • Ability to operate in ambiguity and drive outcomes in fast-paced environments 

#LI-XG1

If hired in CA, the base pay for this position is generally between $145,000 and $200,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Preferred Experience 

  • 15+ years of experience in data management, data quality, or regulatory data within financial services 
  • Proven leadership in regulatory reporting data remediation (FR Y-14 strongly preferred) 
  • Experience working with large, complex banking organizations 

Functional Expertise 

  • Deep knowledge of:  
  • Finance and Regulatory data in banking industry 
  • Data quality frameworks and controls 
  • Data governance and lineage 
  • Strong understanding of Finance data domains and regulatory expectations 

Technical Skills 

  • Strong SQL and experience with enterprise data platforms:  
  • Snowflake, Oracle, SQL Server, Netezza 
  • Familiarity with:  
  • ETL/data pipelines and data virtualization 
  • Data governance tools (e.g., Collibra) 
  • Data visualization (Power BI, Tableau) 
  • Python / advanced analytics (preferred) 
  • Experience with cloud platforms (AWS/Azure) 

Leadership & Collaboration 

  • Demonstrated ability to lead cross-functional initiatives across global teams 
  • Strong executive communication and stakeholder management skills 
  • Ability to operate in ambiguity and drive outcomes in fast-paced environments 

#LI-XG1

If hired in CA, the base pay for this position is generally between $145,000 and $200,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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