Data Analyst

My3Tech; Raleigh (NC); Hybrid; USD 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

My3tech is seeking a Data Analyst in Raleigh, NC for a hybrid role focused on turning data into actionable insights. You will work with Databricks PySpark to analyze large datasets, develop dashboards, and ensure data quality.

You will partner with stakeholders and a technical lead to align data solutions with business needs. You will contribute to design discussions, plan with the development team, and build data products that empower dashboards and APIs.

Qualifications

• Hands-on Databricks PySpark analytics experience.
• Strong Spark SQL proficiency for analyzing large datasets.
• Experience building dashboards with Power BI or Databricks native tools.

Responsibilities

• Analyze data, create mappings, develop dashboards, ensure data quality and integrity.
• Query and analyze datasets using Spark SQL in Databricks.
• Collaborate with data engineers to deliver high-quality data products.
• Develop detailed data mappings to support data integration and transformation.
• Design dashboards using Power BI or Databricks visualization tools to communicate insights.
• Create Gold-layer data products to support dashboards, APIs and UI tools.
• Document data pipelines, mappings, models and dashboard functionality.
• Perform statistical analysis, data mining and machine learning to uncover patterns and insights.

Skills

Databricks

PySpark

Spark SQL

Data visualization

Power BI

Dashboards

Data mapping

Data modeling

Stakeholder collaboration

Data quality

Data analysis

Tools

Databricks

Power BI

Job description

Position: Data Analyst

Location: Raleigh, NC 27609

This is a hybrid position.

The ideal candidate will have hands‑on expertise with Databricks (PySpark) and visualization tools, including both Databricks native tools and Power BI. In this role, you will be responsible for developing business requirements, supporting change management documentation, and actively collaborating with stakeholders to ensure alignment between data solutions and business needs. You will work closely with a technical lead and participate in design discussions and planning with the broader development team.

Key Responsibilities:

• Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity
• Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
• Collaborate closely with data engineers to design and deliver high-quality data products
• Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis‑ready formats
• Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights
• Build Gold‑layer data products to support custom‑built dashboards, APIs, and UI tools
• Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
• Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights

• 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