Data Analyst

HonorVet Technologies; Raleigh (NC); Hybrid; USD 55,000 - 83,000; Full time

Job summary

HonorVet Technologies, a Service-Disabled Veteran-Owned IT staffing firm, seeks a Data Analyst to join its Raleigh hybrid team for a 5-month engagement.

You will work with Databricks (PySpark) and Power BI to build dashboards, data mappings, and data products, collaborate with data engineers and stakeholders, and help translate business needs into data solutions. Strong SQL, data modeling, and documentation skills are essential.

Qualifications

• 5 years of hands-on Databricks experience with PySpark.
• 5 years of SQL experience analyzing large datasets.
• 5 years building dashboards in Power BI and Databricks visualization tools.
• 5 years developing detailed data mappings and data integration.
• 5 years gathering business requirements and working with stakeholders.
• Strong documentation and data pipeline documentation skills.

Responsibilities

• Conduct comprehensive data analysis and create data mappings.
• Develop dashboards using Power BI or Databricks visualization tools.
• Collaborate with data engineers to design and deliver data products.
• Create detailed mappings to transform data from diverse sources.
• Design and build dashboards to communicate insights clearly.
• Develop gold-layer data products to support dashboards, APIs, and UI tools.
• Document data pipelines, mappings, models, and dashboards.

Skills

Databricks

PySpark

SQL

Power BI

Data visualization

Data analysis

Data mappings

Stakeholder collaboration

Documentation

Job description

HonorVet Technologies is a Service-Disabled Veteran-Owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline; it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you are headed and only reach out when we genuinely believe there's a fit worth exploring.

Job Title: Data Analyst
Location: Raleigh NC, 27609
Duration: 5 Months
Work Mode: Hybrid (On site visit on Tue, Wed, Thu every week)

Job Description: 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.

Required Skills/Experience:

• 5 years of hands-on experience working on the Databricks platform and using PySpark for data analysis and transformation.
• 5 years of experience and ability to write efficiently, complex queries to analyze large datasets within Databricks.
• 5 years of experience in building clear, intuitive dashboards in Power BI and Databricks' native visualization tools to communicate insight.
• 5 years of experience in developing detailed mappings that integrate and transform data.
• 5 years of experience in gathering and developing business requirements.
• 5 years of experience in conducting thorough data analysis.