Data Analytics Specialist Jobs in North Carolina
Data Analytics Specialist jobs in North Carolina are in strong and steady demand, concentrated in financial services, healthcare, technology, and life sciences, with openings at every level from junior analyst through principal and director. The heaviest hiring is in Charlotte, Raleigh, and Durham, where employers like Bank of America, Duke University Health System, and SAS Institute maintain large analytics teams. The most sought-after specialties in the state are predictive modeling, business intelligence, and healthcare data analytics. Find a role that fits below and apply directly.
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We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
We are seeking an experienced Senior Data Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.
Key Responsibilities:
- Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
- Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
- Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
- Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
- Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
- Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.
Required Qualifications:
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
- Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
- Proven experience tuning and optimizing:
- Spark applications and execution plans
- Complex SQL queries
- Large-scale ETL/ELT processes
- High-volume batch processing workloads
- Strong SQL and data modeling skills.
- Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.
Preferred Qualifications:
- Experience with Oracle Exadata and large-scale Oracle analytics platforms.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
- Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
- Experience with Azure, OCI, or multi-cloud data architectures.
- Experience supporting large-scale data migration and modernization programs.
- Ideal Candidate A hands-on data engineer with strong expertise in Oracle for analytical and data warehousing workloads, advanced Spark development and performance tuning skills, and experience building scalable cloud-based analytics solutions. Experience with Google Cloud and BigQuery is highly desirable.
See All 38 Data Analytics Specialist Jobs in North Carolina
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Find JobsData Analytics Specialist Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Analytics Specialist Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
- Banking & Financial Services
What North Carolina Employers Look For
The qualifications that appear most often in data analytics specialist jobs across North Carolina.
- Bachelor's degree in statistics, computer science, mathematics, or a closely related field
- Proficiency in SQL and at least one analytics or statistical programming language such as Python or R
- Experience with business intelligence platforms such as Tableau, Power BI, or Looker
- Ability to translate complex data findings into clear recommendations for non-technical stakeholders
- Familiarity with data warehousing concepts and cloud platforms such as AWS, Azure, or Google Cloud
- Strong understanding of statistical methods including regression, clustering, and hypothesis testing
Data Analytics Specialist Jobs in North Carolina: Frequently Asked Questions
How do you become a data analytics specialist in North Carolina?
Most data analytics specialist roles in North Carolina do not require a state-issued license, but employers consistently expect a bachelor's degree in a quantitative field such as statistics, computer science, information systems, or mathematics. Candidates strengthen their applications with industry-recognized credentials like the Certified Analytics Professional or vendor certifications from platforms such as Tableau or Microsoft. North Carolina's research universities, including NC State, UNC Chapel Hill, and Duke, supply a large share of local talent and offer graduate programs that align closely with what Charlotte and Research Triangle employers hire for.
How much do data analytics specialists make in North Carolina?
Data analytics specialists in North Carolina earn a median of about $119,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,970 for the lowest 10% to over $172,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics specialists in North Carolina?
Employers hiring data analytics specialists in North Carolina right now include Marsh, Deloitte, and American Express, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of financial institutions in Charlotte and technology and life sciences companies in the Research Triangle means analytics hiring stays active across a broad range of sectors year-round.
Which North Carolina cities have the most data analytics specialist jobs?
Charlotte, Raleigh, and Durham have the most data analytics specialist openings in North Carolina. Charlotte's large banking and fintech sector drives the bulk of financial analytics hiring, while Raleigh and Durham benefit from the Research Triangle's cluster of technology firms, contract research organizations, and university health systems that require specialists in healthcare and life sciences data.
Are there remote data analytics specialist jobs in North Carolina?
Yes, and more than most fields, because data analytics work is primarily desk-based and deliverable-driven. About 59% of data analytics specialist openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how well the role translates to distributed teams. Positions focused on reporting, dashboard development, and statistical modeling tend to be the most remote-friendly, while roles requiring close collaboration with on-site clinical or operations teams are more likely to be in-person.
How can I get hired as a data analytics specialist in North Carolina with little or no experience?
The most realistic entry path is through an analyst or business intelligence associate role, which large North Carolina employers in banking, healthcare, and technology regularly post for candidates with strong academic backgrounds but limited industry experience. Bank of America and Duke Health both run structured early-career analyst programs in Charlotte and Durham respectively. Building a portfolio of projects using publicly available datasets and earning a Tableau or Power BI certification helps candidates stand out. Adjacent roles such as data coordinator, reporting analyst, or quality assurance analyst in North Carolina's contract research and hospital networks often serve as practical stepping stones.
Where can I find and apply to data analytics specialist jobs in North Carolina?
You can find and apply to data analytics specialist jobs in North Carolina on Migrate Mate, which lists current openings across the state. Search the listings, find roles that match your background and preferences, and apply directly to the ones that fit.
See All 38 Data Analytics Specialist Jobs in North Carolina
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