Quantitative Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Position: Data Analyst

Location: Onsite, Atlanta, GA
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.

Primary Responsibilities

• Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
• Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
• Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
• Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
• Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
• Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
• Assist with rapid-turn analyses and short-notice leadership requests.
• Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
• Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
• Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.

Required Qualifications

• Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
• 3+ years of post-baccalaureate professional experience performing data analysis or related work.
• 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
• 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
• 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
• 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
• 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
• US government-issued security clearance required (will be initiated upon hire)
• Valid driver’s license and ability to pass an MVR check.

Preferred Qualifications

• Demonstrated ability to work with multiple data sources and manage competing priorities.
• Strong analytical and critical thinking skills.
• Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
• Ability to communicate analytical findings clearly to both technical and non-technical audiences.
• Strong organizational skills and attention to detail.
• Ability to work independently and collaboratively in a team-based environment.
• Experience supporting federal programs or grants management environments.
• Familiarity with qualitative data analysis and review of narrative program documentation.
• Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
• Knowledge of early childhood or Head Start programs.

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.