Jr. BI Engineer
Job Description:
Tria Federal is seeking a motivated and detail-oriented Junior Business Intelligence (BI) Engineer with a strong foundation in Python, SQL, and Tableau to support data analysis, reporting, dashboard development, and business intelligence initiatives.
The ideal candidate will have good analytical and problem-solving skills, an eagerness to learn, and the ability to transform raw data into meaningful insights that support business decision-making. Familiarity with Java, R, and AI prompt engineering is a plus.
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.
Preferred candidate will be required to travel to our Baltimore office (Woodlawn MD) once a month.
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.
Good to Have Skills:
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.
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.
Preferred Candidate Profile:
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.
What We Offer:
Opportunities to work on real-world business intelligence and analytics projects.
Mentorship and professional development in data engineering and BI technologies.
Exposure to modern data tools, automation, and AI-assisted analytics.
A collaborative environment that encourages continuous learning and innovation.