Jr. Data Analyst

Vybond•Franklin, KY

4d•Onsite

About The Position

The Junior Data Analyst role emphasizes hands-on data exploration, validation, and analysis while developing foundational skills in SQL, business metrics, and data interpretation. The analyst will collaborate with senior analysts, data engineers, and business users to gather requirements, create specification documents, and support reporting solutions. In addition, the analyst will contribute to the development of well-structured data models and reporting assets that align with defined business metrics and analytical standards.

Requirements

Bachelor’s degree in business Analytics, Data Science, Statistics, or a related field, or equivalent practical experience.
Basic to intermediate experience with Power BI (Create reports and visualizations, beginner DAX, Power Query)
Foundational SQL skills (SELECT, JOIN, WHERE, GROUP BY)
Understanding basic data concepts (tables, keys, relationships)
Experience with Microsoft Excel for data analysis and validation
Strong organizational skills and attention to detail
Work well in teams and motivated to learn, adapt, and improve continuously
Effective written and verbal communication for both technical and non-technical audiences

Nice To Haves

Exposure to Microsoft Fabric, data warehouses, or lakehouse environments
Knowledge of manufacturing processes and industry standards is a plus

Responsibilities

Collaborate with business users to understand analytics needs, questions, and success criteria
Assist in defining and documenting key performance indicators, metrics, data definitions, assumptions, and calculation logic
Query, analyze, and validate data from structured data sources
Perform data validation, reconciliation, and reasonableness checks to ensure accuracy and reliability
Design, develop, and maintain Power BI reports and dashboards with a focus on performance, usability, and business relevance
Ensure data accuracy, consistency, and governance across reports, analytics and datasets
Support deployment processes across environments (Dev/Uat/Prod)
Document data models, metrics definitions, and reporting standards
Train and support staff on data tools and best practices
Perform additional responsibilities as needed.