Data Analyst (Databricks / PySpark / Power BI) – Hybrid, Raleigh, NC
Incept is hiring a Data Analyst for a state government technology agency in Raleigh, NC. The role is hybrid, with up to three days a week onsite (Tuesday–Thursday). You’ll work hands-on in Databricks to analyze large datasets, build dashboards, and turn business needs into well-documented, analysis-ready data products. You’ll partner with a technical lead, data engineers, and business stakeholders.
What you’ll do
- Query and analyze large datasets in Databricks using Spark SQL and PySpark
- Gather and document business requirements and support change-management documentation
- Build detailed data mappings that bring data from many sources into structured, analysis-ready formats
- Design dashboards in Power BI and Databricks’ native visualization tools
- Build Gold-layer data products that power dashboards, APIs, and UI tools
- Partner with data engineers on design and delivery of high-quality data products
- Document pipelines, mappings, models, and dashboard functionality
- Apply statistical analysis, data mining, and machine learning to find trends and insights
- Ensure data quality and integrity throughout
What you bring (5+ years each)
- Hands-on Databricks and PySpark experience
- Advanced Spark SQL: efficient, complex queries on large datasets
- Dashboard development in Power BI and Databricks visualizations
- Data mapping and data modeling
- Business requirements gathering and stakeholder collaboration
- Data quality and in-depth data analysis
Details
- Must be able to work onsite in Raleigh up to 3 days a week
- Must be available for the full contract term through April 2027
- Start date: early November
Equal Opportunity Employment Statement
Incept Data Solutions, Inc. is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable law. Employment decisions are based on qualifications, merit, and business needs.
Drug-Free Workplace Statement
Incept Data Solutions, Inc. maintains a drug-free workplace in accordance with applicable federal, state, and local regulations. The unlawful manufacture, distribution, dispensation, possession, or use of controlled substances in the workplace is strictly prohibited. Compliance with this policy is a condition of employment and assignment to client engagements.
Social Media Conduct Policy Statement
Incept Data Solutions, Inc. expects employees to exercise good judgment and professionalism on social media and to never disclose confidential, proprietary, or client-sensitive information. Employees may not post discriminatory, harassing, or defamatory content, or speak on behalf of the Company or its clients without authorization, and must make clear that any views expressed are their own. Compliance is a condition of employment and assignment to client engagements, and violations may result in disciplinary action up to termination.
Skills Required
- 5+ years of hands-on Databricks experience
- 5+ years of hands-on PySpark experience
- Advanced Spark SQL experience, including efficient complex queries on large datasets
- Dashboard development experience in Power BI and Databricks visualizations
- Experience with data mapping and data modeling
- Experience gathering business requirements and collaborating with stakeholders
- Experience with data quality and in-depth data analysis
- Ability to work onsite in Raleigh up to three days per week
- Availability for the full contract term through April 2027
What We Do
Incept Data Solutions, Inc. is a global professional services and consulting firm that helps enterprises improve the value, trust, and usability of their data. Its work spans data governance, master data management, data quality, privacy, strategy, integration, architecture, and analytics. The company combines practical advisory services with hands-on implementation, training, and staff augmentation to support sustainable data-management operations and digital transformation.







