Who we are! 

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.

You

Platinum Technologies is seeking a skilled Junior Data Analyst to support the enablement of data across our Federal Customer’s programs. In this role, you will provide meaningful business value through easy-to-comprehend data visualizations, efficient and secure ETL processes, and the deployment and configuration of data solutions for consumption by agency stakeholders.

You will collaborate with enterprise data analysts and data engineers to identify and acquire data, build end-to-end data preparation workflows, and ensure data assets are properly governed, secured, and shared.

This position requires a Public Trust clearance, or the ability to obtain one, and is ideal for a data professional who thrives in a federal client environment and is passionate about turning complex data into actionable insight.

This role is hybrid in Washington D.C.

Required Clearance: Active Public Trust or eligible to obtain one.

What You’ll Do

Design, develop, and maintain interactive dashboards and reports using Power BI, Google Looker Studio (Data Studio), and Tableau to support federal customer program offices.

Build and manage efficient, secure ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.

Create and maintain data models that support accurate, scalable, and reusable visualizations and analytical outputs.

Apply analytical expression languages (e.g., DAX, Calculated Fields, LOD expressions) to build complex metrics and KPIs within BI platforms.

Implement and manage row-level data security (RLS) and data sensitivity configurations to ensure compliance with federal data governance standards.

Collaborate with enterprise data analysts and data engineers to identify, acquire, and integrate data from agency systems and external sources.

Develop and document end-to-end data preparation workflows, data dictionaries, and technical documentation.

Transform raw data into clean, structured data models ready for visualization and sharing.

Deploy and configure BI solutions for consumption by federal stakeholders, ensuring usability and performance.

Present findings and dashboard outputs clearly to both technical and non-technical audiences, including federal program managers.

Support recurring and ad-hoc reporting requirements in alignment with program objectives and performance metrics.

Core Competencies

Candidates must demonstrate proficiency across the following areas:

Data Visualization Concepts: Ability to design meaningful, user-friendly visual outputs that communicate complex data simply and accurately.

Analytical Expression Languages: Proficiency in DAX (Power BI), calculated fields/LOD expressions (Tableau), and/or equivalent formula languages.

General-Purpose Scripting: Working knowledge of Python or SQL for data wrangling, transformation, and automation.

End-to-End Data Preparation: Hands-on experience with full data pipeline workflows from raw ingestion through modeling, transformation, and delivery.

Data Modeling: Ability to create logical and physical data models that support efficient querying and visualization.

Row-Level Security & Data Sensitivity: Understanding of RLS frameworks in BI tools and sensitivity labeling practices in federal or enterprise environments.

Data Sharing & Asset Management: Familiarity with publishing, sharing, and governing data assets across organizational workspaces.

Collaboration: Experience working cross-functionally with data engineers, analysts, and federal clients to define and deliver data solutions.

Required Qualifications

1–3 years of experience in a data analyst role supporting federal government clients or within a federal agency.

Demonstrated proficiency with Power BI, Google Looker Studio / Data Studio, and/or Tableau.

Experience building and maintaining ETL/data preparation workflows.

Working knowledge of SQL for querying, joining, and transforming data.

Familiarity with data modeling principles and best practices.

Understanding of row-level security, data sensitivity classification, and data governance in enterprise or federal environments.

Experience collaborating with data engineers or senior analysts to identify and acquire datasets.

Junior Data Analyst

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