Business Data Analyst

We are seeking a Data Analyst (C12 Equivalent) to join our team. The candidate will demonstrate strong experience in business and data analysis, SQL, data modeling, and data engineering concepts with a proven ability to deliver accurate insights, optimize data pipelines, and improve data quality and visualization outcomes . Responsibilities: Perform business and data analysis to define requirements and translate them into technical specifications. Design, write, and optimize complex SQL queries, including analytical and aggregate functions on views. Map data across systems, identify critical data elements, and maintain data assets and models. Build and maintain ETL and data pipelines, ensuring data ingestion, storage, processing, and governance meet standards. Create dashboards and data visualizations to communicate insights and performance metrics. Collaborate across SDLC phases, partnering with cross-functional teams to deliver data solutions. Support testing activities including manual, UAT, functional, and regression testing. Apply data quality and governance practices to ensure reliability and compliance. Required Skills & Qualifications: 5-8 years of experience in business and data analysis, process improvement, and project management. Proficiency in complex SQL, including analytical and aggregate functions on views. Hands-on experience with data assets, critical data elements, data mapping, data models, and data aggregation. Proficiency in at least one data engineering concept: ETL ingestion, data visualization, storage, querying, processing analysis, or data quality governance. Experience across SDLC and familiarity with infrastructure analysis frameworks. Knowledge of relational databases and NoSQL databases. Experience with PySpark scripting or similar data processing technologies. Ability to develop data visualizations and apply analytical and interpretive techniques. Strong interpersonal, verbal, and written communication skills. Bachelor’s/University degree or equivalent experience. Preferred Skills: Experience with Tableau, PySpark, Airflow, Git, JIRA, and Confluence. Experience in data modeling, ETL technologies, and data pipelines. AI and machine learning exposure. Testing experience across manual, UAT, functional, and regression testing. #J-18808-Ljbffr