Data And Analytics Jobs in Charlotte, NC
Data And Analytics jobs in Charlotte are concentrated in Uptown, South End, and the University City corridor, with strong demand across financial services, healthcare, and technology. Employers actively hiring include Central Piedmont Community College, TIAA, and Truist. Find a role that fits below and apply directly.
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At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position
Skills and Competencies
- Five or more years of experience in data engineering, building and operating production-grade data pipelines
- Strong programming experience with Python, PySpark, Scala, and SQL
- Proven experience designing or working with configuration- or metadata-driven data pipelines
- Hands-on experience working within a Databricks-based data platform
- Solid understanding of data modeling, schema evolution, and large-scale dataset management
- Experience deploying and operating data solutions in AWS and Azure cloud environments
- Working knowledge of CI/CD concepts and integrating data pipelines into automated workflows
- Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use
Education
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Responsibilities
- Develop and operate scalable ETL and ELT pipelines to ingest, transform, and publish data across domains
- Build and optimize data transformations and validations using Python, PySpark, Scala, and SQL
- Implement configuration-driven pipeline frameworks to onboard and manage datasets efficiently
- Ensure data products are structured, performant, and optimized for downstream consumption
- Partner with stakeholders to define data contracts, schemas, SLAs, and quality standards
- Apply best practices for data reliability, observability, and cost optimization
- Contribute to CI/CD practices, including automated testing, deployment, and promotion
- Support data governance initiatives, including data quality, lineage, and access controls
About the Team
For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 - $138,550.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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Who's Hiring



Top Industries Hiring
- Accounting & Auditing
- Banking & Financial Services
- Investment & Asset Management
- Consulting & Professional Services
Data And Analytics Jobs in Charlotte: Frequently Asked Questions
How do I get a data and analytics job in Charlotte?
The strongest path into Charlotte's data and analytics market is targeting its financial services and healthcare sectors, where demand for analysts, data engineers, and BI developers is highest. Uptown hosts major banking and insurance employers, while University City and South End attract tech-forward firms. Candidates with SQL, Python, Tableau, or Power BI skills stand out, and familiarity with financial or clinical data gives a clear edge over generalist applicants.
Which companies hire data and analyticss in Charlotte?
Employers hiring data and analyticss in Charlotte right now include Central Piedmont Community College, TIAA, and Truist, based on current listings on Migrate Mate as of August 2026. Charlotte's market includes a mix of Fortune 500 financial institutions, regional health systems, and fast-growing tech companies, all of which maintain dedicated analytics teams.
Are there remote data and analytics jobs in Charlotte?
Yes, data and analytics roles are well suited to remote work given their desk-based, tool-driven nature. About 18% of data and analytics openings tied to Charlotte are remote or hybrid as of August 2026, reflecting how widely distributed these teams have become. Reporting, modeling, and visualization work tends to be the most remote-friendly, while roles requiring collaboration with on-site operations teams more often stay hybrid.
How can I get a data and analytics job in Charlotte with little or no experience?
The most realistic entry point in Charlotte is targeting analyst associate or junior data analyst roles at regional banks, insurance carriers, or health systems, which regularly hire candidates with strong fundamentals over years of experience. Community college programs at Central Piedmont Community College and university pipelines through UNC Charlotte feed entry-level talent directly to local employers. Building a portfolio with public datasets and earning a certification in SQL or Tableau will differentiate an early-career candidate in Charlotte's competitive but accessible market.
Which industries hire the most data and analyticss in Charlotte?
The sectors hiring the most data and analyticss in Charlotte are Accounting & Auditing, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of August 2026. Charlotte's identity as a major U.S. banking hub and a growing healthcare and logistics center makes those industries the consistent engines of local analytics hiring.
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