Data Analytics Consultant - SME

About Aretum

DHS Suitability Required

Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront.

Job Summary

Aretum is seeking a Data Analytics Consultant - SME with experience in Power BI, including advanced DAX, Power Query, and the development of complex data models to support scalable reporting solutions. Strong expertise in SQL, data transformation, and dashboard design, with a proven ability to translate complex data into actionable insights while leveraging Excel and cloud-based data platforms.

Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements. 

Responsibilities

• Gather and report meaningful metrics.
• Maintain Quarterly dashboard development timelines and keep up with additional work requirements.
• Validate and replace currently captured metrics with more meaningful metrics across operational teams on a regular, routine basis, at least bi-annually.
• Ensure that as metrics, work products, and outputs mature and change over time, that definitions are updated on a routine basis from the Measures and Metrics (M&M) lexicon within current dashboard.
• Incorporate additional available metric sources (Malware Next Generation (MNG), Customer engagement data from CISA public releases, and others).
• Consolidate and align data sources to streamline the overall M&M data structure on a repeatable and routine basis to ensure that, as data sources change, the underlying framework remains efficient and trustworthy.
• Consistently and regularly enhance our relational data model and compartmentalize datasets to strengthen governance, improve data capture, and ensure long-term scalability and maintainability.
• Build and maintain predictive analytics and insights around current data holdings to enable decision making.
• Build and maintain Performance Measure Definition Forms for metrics and measures currently captured.
• Define how each measure is calculated, what fields are used, what systems they come from to ensure consistency and accuracy of measurement.
• Integrate and establish repeatable workflows and data sharing with new Performance Management Working Group (PMWG).
• Assist with standardizing and streamlining performance measurements across external organizations, to include performance measure development, tracking, reporting, and management.