Data Analyst

Greystones Consulting Group•Washington, DC

5d•Remote

About The Position

Greystones Group is a fast-growing woman-owned small business supporting the Warfighter with best-in-class artificial intelligence and big data analytics capabilities. Our capabilities include mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions. We are looking for dedicated and motivated candidates that can grow with the company. At Greystones, we recognize that everyone brings their own important skill sets and unique talents to create a highly competent team to deliver quality solutions. We ensure that each member's needs are addressed effectively, and our employees are not just a number. We offer a close-knit community that ensures your growth and development in a setting that provides world class support to our customers. Greystones is hiring for a detail-oriented and analytical Data Analyst to support data-driven decision-making through the collection, processing, analysis, and visualization of complex datasets. The ideal candidate will have experience working with IRS data, strong analytical skills, and the ability to translate technical findings into clear, actionable insights for stakeholders.

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science or a related field.
Familiarity with IRS data, including business return elements, return processing, and return metadata.
Intermediate proficiency in R and SQL.
Experience building dashboards and data visualizations in Power BI.
Hands-on experience designing and maintaining data pipelines.
Experience integrating and streamlining data from disjoint databases.
Strong analytical, problem-solving, and attention-to-detail skills.

Responsibilities

Analyze and interpret data, including business return elements, return processing data, and return metadata.
Develop, maintain, and optimize data pipelines to integrate and process data from disjoint and heterogeneous databases.
Streamline data workflows to improve efficiency, accuracy, and reliability.
Write and optimize SQL queries to extract, transform, and analyze large datasets.
Use R for data analysis, statistical modeling, and data manipulation.
Design, build, and maintain interactive dashboards and reports using Power BI.
Collaborate with technical and non-technical stakeholders to understand data needs and present insights clearly.
Ensure data quality, consistency, and compliance with applicable data governance standards.