Data Analyst :: Raleigh, NC
Posted 2 hours ago USD 65.00 - 68.00 / year
Job Title: Data Analyst Databricks / PySpark
Location: Raleigh, NC 27609
Work Arrangement: Hybrid
Experience: 5+ Years
Job Summary
We are seeking an experienced Data Analyst with strong hands-on expertise in Databricks, PySpark, Spark SQL, and Power BI. The ideal candidate will be responsible for analyzing large datasets, developing data mappings, building dashboards, ensuring data quality, and translating business requirements into effective data solutions.
The candidate will work closely with data engineers, technical leads, and business stakeholders to develop reliable, business-ready data products that support dashboards, APIs, and user-facing applications.
Key Responsibilities
This is a hybrid position based in Raleigh, NC 27609. The onsite schedule has not been finalized; the maximum requirement is three days per week, Tuesday through Thursday. Candidates should be comfortable attending onsite as required.
Skill Required /Desired Amount of Experience Databricks and PySpark proficiency: hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation. Required 5 Years Advanced Spark SQL: the ability to write efficient, complex queries to analyze large datasets within Databricks. Required 5 Years Data visualization and dashboarding:building clear, intuitive dashboards in Power BI and Databricks native visualization tools to communicate insight Required 5 Years Data mapping and modeling: developing detailed mappings that integrate and transform data Required 5 Years Business requirements and stakeholder collaboration: gathering and developing business requirements Required 5 Years Data quality and analysis: conducting thorough data analysis Required 5 Years
Location: Raleigh, NC 27609
Work Arrangement: Hybrid
Experience: 5+ Years
Job Summary
We are seeking an experienced Data Analyst with strong hands-on expertise in Databricks, PySpark, Spark SQL, and Power BI. The ideal candidate will be responsible for analyzing large datasets, developing data mappings, building dashboards, ensuring data quality, and translating business requirements into effective data solutions.
The candidate will work closely with data engineers, technical leads, and business stakeholders to develop reliable, business-ready data products that support dashboards, APIs, and user-facing applications.
Key Responsibilities
- Conduct comprehensive data analysis to identify trends, patterns, and actionable business insights.
- Use Databricks and PySpark to process, transform, and analyze large datasets.
- Write efficient and complex Spark SQL queries for data extraction, analysis, and transformation.
- Develop and maintain source-to-target data mappings and data models.
- Design, develop, and maintain interactive dashboards using Power BI and Databricks native visualization tools.
- Build Gold-layer data products to support dashboards, APIs, and UI applications.
- Perform data profiling, validation, reconciliation, and quality checks to ensure data accuracy and integrity.
- Collaborate with data engineers to design and deliver high-quality data products.
- Gather, analyze, and document business requirements in collaboration with stakeholders.
- Support change management documentation and communicate changes to data solutions.
- Document data pipelines, mappings, models, transformation logic, and dashboard functionality.
- Participate in technical design discussions, project planning, and development team meetings.
- Apply statistical analysis, data mining, and machine learning techniques where appropriate.
- Minimum 5 years of hands-on experience with Databricks and PySpark.
- Minimum 5 years of experience writing advanced Spark SQL queries and analyzing large datasets.
- Minimum 5 years of experience developing dashboards using Power BI and Databricks native visualization tools.
- Minimum 5 years of experience in data mapping, data modeling, and data transformation.
- Minimum 5 years of experience gathering business requirements and collaborating with stakeholders.
- Minimum 5 years of experience in data analysis, data profiling, and data quality management.
- Strong understanding of data integration, data processing, and analytical data structures.
- Experience developing curated, business-ready datasets for reporting and application consumption.
- Excellent analytical, problem-solving, documentation, and communication skills.
- Ability to work effectively with cross-functional technical and business teams.
This is a hybrid position based in Raleigh, NC 27609. The onsite schedule has not been finalized; the maximum requirement is three days per week, Tuesday through Thursday. Candidates should be comfortable attending onsite as required.
Skill Required /Desired Amount of Experience Databricks and PySpark proficiency: hands-on experience working in the Databricks platform and using PySpark for data analysis and transformation. Required 5 Years Advanced Spark SQL: the ability to write efficient, complex queries to analyze large datasets within Databricks. Required 5 Years Data visualization and dashboarding:building clear, intuitive dashboards in Power BI and Databricks native visualization tools to communicate insight Required 5 Years Data mapping and modeling: developing detailed mappings that integrate and transform data Required 5 Years Business requirements and stakeholder collaboration: gathering and developing business requirements Required 5 Years Data quality and analysis: conducting thorough data analysis Required 5 Years
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