Jr. BI Engineer

Tria Federal • Woodlawn, MD

2d

About The Position

Tria Federal is seeking a motivated, detail-oriented Junior Business Intelligence (BI) Engineer to support data analysis, reporting, dashboard development, and business intelligence initiatives. The role uses Python, SQL, and Tableau to transform raw data into meaningful insights that support business decision-making. The successful candidate will bring analytical and problem-solving skills, attention to detail, and a willingness to learn and adapt to evolving business requirements.

The position involves developing and maintaining dashboards and reports, querying and analyzing relational data, supporting data pipelines, validating data, and collaborating with stakeholders to deliver actionable insights. The engineer will also document data and reporting solutions and explore improvements to analytics workflows through automation and AI-assisted tools. Basic knowledge of Java, R, and AI prompt engineering is beneficial.

The candidate must be able to obtain a U.S. Federal Position of Trust clearance designation, reside in and be able to work in the United States, and have lived in the United States for three of the last five years. The preferred candidate will travel to the Baltimore office in Woodlawn, Maryland, once a month. A master’s degree in a relevant field or equivalent practical experience and at least one year of experience are specified.

Requirements

• Ability to obtain a U.S. Federal Position of Trust clearance designation.
• Must reside in and be able to perform work in the United States.
• Must have lived in the United States for 3 of the last 5 years.
• Master’s degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field, or equivalent practical experience.
• At least one (1) year of experience.
• Good working knowledge of Python, including data manipulation libraries such as Pandas and NumPy.
• Strong foundational knowledge of SQL, including joins, subqueries, aggregations, CTEs, and window functions.
• Hands-on knowledge of Tableau for creating dashboards, visualizations, calculated fields, and reports.
• Understanding of relational databases, data modeling concepts, and data quality principles.
• Strong analytical thinking, problem-solving, and attention to detail.
• Good communication skills and the ability to work collaboratively in a team environment.
• Willingness to learn new technologies and adapt to evolving business requirements.

Nice To Haves

• Basic knowledge of Java and object-oriented programming concepts.
• Familiarity with R for statistical analysis and data visualization.
• Understanding of AI prompt engineering, including designing effective prompts for data analysis, code generation, documentation, and productivity improvements.
• Exposure to generative AI tools, APIs, or AI-assisted development workflows.
• Familiarity with Git/version control, cloud platforms, or data warehousing technologies.
• Basic understanding of statistics, business metrics, and KPI development.
• Preferred candidate will be required to travel to the Baltimore office (Woodlawn MD) once a month.
• Curious and proactive, with a strong interest in data analytics and business intelligence.
• Able to translate business questions into analytical requirements and reporting solutions.
• Comfortable working with structured datasets and identifying data inconsistencies.
• Demonstrates a learning mindset and takes ownership of assigned tasks.
• Has academic projects, internships, certifications, or personal projects involving Python, SQL, or Tableau.

Responsibilities

• Develop, maintain, and enhance interactive dashboards and reports using Tableau.
• Write, optimize, and troubleshoot SQL queries to extract, transform, and analyze data from relational databases.
• Use Python for data cleaning, manipulation, automation, and exploratory data analysis.
• Collaborate with business stakeholders and cross-functional teams to understand reporting requirements and deliver actionable insights.
• Assist in developing and maintaining ETL/ELT processes and data pipelines.
• Perform data validation, quality checks, and reconciliation to ensure accuracy and consistency.
• Identify trends, patterns, and opportunities through data analysis and visualization.
• Document data processes, business logic, SQL queries, and reporting solutions.
• Explore opportunities to improve analytics workflows through automation and AI-assisted tools.

Benefits

• Top-tier benefits package supporting physical, mental, and financial health and wellness.
• Mentorship and professional development in data engineering and BI technologies.
• Opportunities to work on real-world business intelligence and analytics projects.
• Exposure to modern data tools, automation, and AI-assisted analytics.
• Collaborative environment that encourages continuous learning and innovation.
• Opportunities to learn new skills, take on new challenges, and advance your career.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level