About Aalis Management Consulting

Aalis Management Consulting is an 8(a) certified, Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB). Founded by a U.S. Army veteran, Aalis delivers mission-driven consulting support across federal agencies with a focus on data-driven decision support, operational excellence, and mission readiness.

Why Join Aalis

• Support meaningful federal legal missions.
• Work remotely while supporting a high-impact government client.
• Join a veteran-led company committed to excellence and teamwork.
• Competitive compensation and professional growth opportunities.

Title: Data Analyst
Client: Federal Agency
Location: Remote (Washington, D.C. Area)
Clearance Required: Public Trust
Schedule: Monday – Friday, 8:30 AM – 5:00 PM
Employment Type: Full-Time

Position Overview

We are actively building a pipeline of experienced Data Analysts to support upcoming federal government programs across defense, intelligence, and civilian agencies.

The Data Analyst supports federal government clients by collecting, analyzing, interpreting, and visualizing data to drive informed decision-making. This role requires strong analytical skills, experience working with large datasets, and proficiency in data tools, databases, and reporting platforms.

The ideal candidate has experience supporting federal environments, understands data governance standards, and can translate complex datasets into actionable insights for program leadership and stakeholders.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple federal systems and databases
• Develop dashboards, reports, and data visualizations to support program and leadership decision-making
• Perform data validation, quality assurance, and integrity checks
• Support data modeling, trend analysis, and predictive analytics as required
• Extract and manipulate data using SQL and other query languages
• Collaborate with program managers, engineers, and stakeholders to define data requirements
• Support performance metrics development and reporting (KPIs, SLAs, operational dashboards)
• Identify data trends, anomalies, and actionable insights
• Ensure compliance with federal data governance, security, and privacy standards
• Document methodologies, data sources, and analytical processes

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Mathematics, Economics, or related field
• 3+ years of experience in data analysis or business intelligence roles
• Experience supporting federal government or regulated environments preferred
• Strong SQL skills and experience querying relational databases
• Experience with data visualization tools (e.g., Power BI, Tableau, or equivalent)
• Strong analytical and problem-solving skills
• Ability to interpret complex datasets and present findings clearly to non-technical stakeholders

Preferred Qualifications

• Experience with Python or R for data analysis
• Familiarity with cloud-based data platforms (AWS, Azure, GCP)
• Experience working with large-scale federal data systems or enterprise data warehouses
• Knowledge of data governance, data quality frameworks, and metadata standards
• Experience with ETL processes and data pipeline concepts
• Federal consulting or contractor experience strongly preferred

Tools & Technologies (Preferred Experience)

• SQL (advanced querying and optimization)
• Power BI, Tableau, or similar BI tools
• Python (Pandas, NumPy, etc.) or R
• Excel (advanced functions, pivot tables, modeling)
• Relational databases (SQL Server, Oracle, PostgreSQL, etc.)
• Data warehousing environments
• Cloud platforms (AWS, Azure, or GCP – preferred

Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.