Data Analytics/Automation SME

Redhawk Administrative Services; Washington (District of Columbia); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Potawatomi Federal Solutions is seeking a Data Analytics/Automation SME in Washington, DC, offering a hybrid work arrangement. The role focuses on delivering AI products and data analytics support for FEMA, leveraging Microsoft Power Platform and UiPath to drive automation and efficiency.

The candidate will develop automation use cases for accounting, perform financial trend analysis, and ensure data quality.

Qualifications

• Bachelor’s degree required.
• Active Secret clearance required.
• 5+ years in BI/Data Analytics/Automation.
• Willingness to travel.
• Knowledge of DHS systems and data analytics/Big Data platforms.

Responsibilities

• Develop AI products and user-facing apps in Power Platform and UiPath.
• Identify opportunities to modernize financial management through automation and data analytics.
• Deploy and operate AI/Automation tools for grants management and data review.

Skills

BI and data analytics

Data visualization

Education

Bachelor’s Degree in Computer Science, Statistics, Mathematics or related field

Tools

UiPath

Microsoft Power Platform

Job description

Position Title: Data Analytics/Automation SME

Location: Washington, DC (Hybrid)

EEO Class: Professional

FLSA Classification: Exempt

Employment Class: Full Time-Salary

Clearance: Active Secret Clearance Required

Position contingent upon award of contract, government acceptance of candidate, and positive adjudication of government investigation.

Position Summary

The Data Analytics / Automation SME provides technical systems/analytics/automation expertise and data and analytics support to the Federal Emergency Management Agency (FEMA) - Data and Analytics Team. Specifically:

• Develop Artificial Intelligence products, tools, etc. and User Facing Products in Microsoft Power Platform, and UiPath
• Identify opportunities to improve Financial Management remediation processes and propose modernized, data-driven approaches (e.g., automation, data analytics, workflow improvements) to increase efficiency, improve traceability, and reduce rework.
• Deploy AI/Automation tools and products and operate these products to provide client assistance with Grants management, review of grant data and information, etc.
• Developing strategies to identify areas of opportunity to optimize statistical efficiency and quality of accounting data
• Review, recommend, and develop use cases and tools/bots for Accounting related Automation efforts, specifically related to the following activities:
  • Financial transaction clean-up and processing
  • Risk Management and Internal Controls testing, processing, tracking, and review
  • Feeder system data and financial system use cases
  • IDOC error report (DTS, AXOL, DCPS, etc.) clean-up and report generation
• Design and deploy attended automations in UiPath to address the client's most pressing accounting issues
• Conduct analysis on financial, accounting, and budgetary trends impacting the client's operations
• Performing financial data collection through available tools (Discoverer, OBIEE, and APEX)
• Identifying accounting anomalies and recommend corrective (preventative) actions
• Ability to leverage Oracle Federal Financials functionality and domain knowledge to assist in solution development

Education & Experience Requirements

Education

• Bachelor’s Degree in Computer Science, Statistics, Mathematics or a related field

Clearance

• Active Secret clearance required

Experience

• 5 years of experience in BI/ Data Analytics/Automation and Data Analytics
• Proficient with UiPath and Microsoft Power Platform (PowerBI, PowerAutomate, Power Apps, etc.)
• Must be willing and able to travel as required
• Knowledge of DHS Systems and Data Analytics/Big Data Platforms and Automation tools

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Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.