Management Analyst

Lawelawe Technology Services; Alexandria (VA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Medical, dental, vision coverage

401(k) with matching

Professional development

Employee discounts

Job summary

Lawelawe Technology Services seeks a data analytics professional to support NSF OIG-related audits and investigations. You will turn complex data into actionable insights, build models, and deliver practical dashboards while ensuring data integrity and security.

Work will involve collaborating with investigators and analysts, designing experiments, and delivering clear recommendations. Proficiency in Python, SQL, and visualization tools is required, with a focus on reproducible analyses and

Qualifications

• Bachelor's degree in business administration, public administration, or a related discipline.
• 3-5 years of experience in management analysis, program evaluation, or a related role.
• Strong analytical and problem-solving skills; ability to analyze complex data.
• Experience conducting research, evaluating programs, and developing data-driven recommendations.
• Experience planning, organizing, coordinating, and managing projects to timely completion.
• Excellent written and verbal communication skills; ability to convey findings to diverse stakeholders.
• Demonstrated collaboration with cross-functional teams and stakeholders.
• Strong organizational skills and attention to detail with data analysis and documentation quality.
• Proficiency with Microsoft Word, Excel, and PowerPoint, plus data-analysis, dashboard, and visualization tools.
• Ability to work independently and handle confidential information with discretion and integrity.
• Familiarity with Office of Inspector General functions preferred.
• U.S. citizen and successful completion of background investigations required.

Responsibilities

• Perform data analytics, statistical and computational modeling to support projects and initiatives.
• Gather and store source data, clean, normalize, validate, and integrate data from multiple sources.
• Design, develop, and maintain analytical models, scripts, and automated workflows.
• Design experiments and develop scalable models using data-science and AI methods.
• Develop analytical solutions supporting audit, investigative, and program evaluation activities.
• Develop interactive dashboards and reporting tools using Power BI or Tableau.
• Conduct risk modeling, anomaly detection, trend analysis, and predictive analytics.
• Collaborate with investigators, auditors, analysts, and subject-matter experts to define requirements.
• Use Python, SQL, and other languages to manipulate and transform datasets; automate processes.
• Perform ad hoc data-analysis and communicate findings in written and verbal formats.
• Prepare comprehensive reports addressing data quality, methodologies, results, and recommendations.
• Document data sources, methodologies, and workflows for transparency.
• Provide staff training and user guides for developed products.
• Monitor and update models and data workflows as needs evolve.
• Ensure compliance with security, privacy, accessibility, and data governance requirements.

Skills

Data analytics

Python

SQL

Modeling

Visualization

Communication

Team collaboration

Education

Bachelor's degree

Tools

Power BI

Tableau

Excel

Word

PowerPoint

Job description

Who We Are

At Lawelawe, our mission is to deliver innovative solutions that empower organizations and enhance their operational efficiencies. We pride ourselves on fostering a collaborative environment where technical excellence meets strategic vision. Our dedication to quality and client satisfaction drives us to exceed expectations and deliver impactful results.

You Are

An analytical and detail-oriented professional who can turn complex data into clear, actionable insights. You bring strong research, problem-solving, and programming skills, with the ability to develop analytical models, automate workflows, and communicate findings to technical and nontechnical audiences. You work effectively with multidisciplinary teams and approach sensitive information with accuracy, discretion, and integrity.

How You Will Make an Impact

You will develop data-driven solutions that strengthen audits, investigations, inspections, and program evaluations. Using Python, SQL, statistical modeling, machine learning, and visualization tools, you will integrate and analyze data to identify risks, detect anomalies, and inform oversight decisions. Your work will deliver reliable, reproducible analyses, practical dashboards, and clear recommendations, while equipping staff with the documentation and training needed to sustain these capabilities.

Responsibilities

• Perform data analytics, statistical and non-statistical modeling, data mining, and data-management activities supportingprojects and initiatives.
• Gather and store source data in its original form, then process, clean, normalize, validate, and integrate structured and unstructured data from multiple sources.
• Design, develop, and maintain analytical models, scripts, algorithms, and automated workflows.
• Design experiments, test hypotheses, and develop scalable analytical models using data-science and artificial-intelligence methods, including machine learning.
• Design, develop, and adapt mathematical, statistical, econometric, and other analytical solutions supporting audit, investigative, research, and program evaluation activities.
• Develop interactive dashboards and reporting tools using Power BI, Tableau, or similar platforms.
• Conduct risk modeling, anomaly detection, trend analysis, and predictive analytics to support investigations, audits, and inspections.
• Collaborate with investigators, auditors, analysts, and subject-matter experts to define analytical requirements and deliver data-driven solutions.
• Use Python, SQL, and other programming languages to manipulate, analyze, and transform datasets and automate analytical processes.
• Perform ad hoc audit and investigative data-analysis requests and communicate findings in written and verbal formats.
• Prepare comprehensive reports addressing data adequacy and quality, methodologies, assumptions, results, findings, recommendations, and the relevance of the issues under review.
• Document data sources, methodologies, model assumptions, analytical workflows, code, data pipelines, and models to ensure transparency, reproducibility, and continuity.
• Provide training to staff on all work products developed, including preparing user guides, manuals, technical documentation, and other knowledge-transfer materials.
• Monitor, maintain, and update analytical models, scripts, and data workflows as technologies, data sources, and mission requirements evolve.
• Ensure compliance with applicable federal security, privacy, accessibility, and data-governance requirements.

The Team

Lawelawe Technology Services is a forward-thinking solutions provider dedicated to delivering excellence through innovation and collaboration. Our team is composed of highly skilled professionals who are passionate about technology and committed to making a difference. We work together to solve complex challenges and drive successful outcomes for our clients.

Here's What You Need

• Bachelor's degree in business administration, public administration, or a related discipline
• 3-5 years of experience in management analysis, program evaluation, or a related role
• Strong analytical and problem-solving skills, including the ability to gather, analyze, and interpret complex data and information
• Experience conducting research, evaluating programs or processes, and developing data-driven recommendations for improvement
• Experience planning, organizing, coordinating, and managing projects through timely completion
• Excellent written and verbal communication skills, including the ability to communicate findings, recommendations, and complex information to diverse stakeholders
• Demonstrated ability to collaborate effectively with cross-functional teams and stakeholders
• Strong organizational skills and attention to detail, with demonstrated accuracy in data analysis, process documentation, and report preparation
• Proficiency with Microsoft Word, Excel, and PowerPoint, as well as relevant data-analysis, dashboard, visualization, and project-management tools
• Ability to work independently, manage multiple assignments, and handle sensitive or confidential information with discretion, ethical conduct, and integrity
• Familiarity with the functions, operations, and objectives of an Office of Inspector General or a similar oversight organization (highly preferred)
• Must be a U.S. citizen and successfully complete the required background investigation and onboarding process.

Work Location

This position supports the National Science Foundation Office of Inspector General (NSF OIG) located in National Science Foundation. Work may be performed onsite, hybrid, or as otherwise directed.

Benefits

• Competitive compensation package
• Comprehensive medical, dental, and vision coverage
• Company-sponsored retirement plans with matching contributions
• Professional development and continued learning opportunities
• Additional perks and discounts available to employees

Compensation

Salary is dependent on experience (DOE) and will be determined based on qualifications, relevant experience, and applicable requirements.

The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Candidates possessing the necessary qualifications for the position will be considered.

Lawelawe Technology Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.

Offers of employment are contingent upon satisfactory completion of a comprehensive background verification, inclusive of a criminal record check. Employment may be subject to other background checks, as required by the position.

We are committed to fair and equitable compensation practices and are transparent about our pay structures. Our pay transparency efforts are aligned with state laws and regulations to ensure compliance and promote pay equity.