Business Analyst – Data Engineering

Role: Business Analyst – Data Engineering Location: Iselin, NJ (Hybrid), local only Job Overview We are seeking a highly skilled and experienced Business Analyst – Data Engineering to join our dynamic team. The successful candidate will possess substantial expertise in the financial sector, with a particular focus on fixed income products including loans, corporate bonds, and treasuries. The role requires a strategic thinker with strong leadership skills, who can innovate and drive data engineering projects. Responsibilities Aligning data solutions with business goals, overseeing and optimizing data pipelines, maintaining best practices, and ensuring data integrity. Manage and ensure the quality of data, including data cleansing, data integration, data validation, and data consistency. Collaborate with stakeholders to understand their data needs, define requirements, and translate these into data solutions. Oversee the work of data engineering team, providing guidance, support, and feedback. Required Skills • 5+ years of financial industry experience working with fixed income products like loans, corporate bonds, treasuries. • Good experience of SQL, experience working with movement of data between systems. • Data Quality Management: The candidate must have a strong understanding and experience in managing and ensuring the quality of large datasets. This includes data cleansing, data integration, data validation, and data consistency. • Data Engineering: The candidate must have a strong background in data engineering, including experience in designing, building, and maintaining data processing systems. • Business Analysis: The candidate must have experience in business analysis, including understanding business needs, defining requirements, and translating these into data solutions. Preferred Skills • Database Testing: Experience in testing databases to ensure functionality, performance, reliability, and security. • Data Visualization: Ability to use data visualization tools and software to represent complex data in a comprehensible way. • Cloud Computing: Familiarity with cloud platforms like AWS, Google Cloud, or Azure. • ETL Tools: Experience with ETL tools for data extraction, transformation, and loading. • Data Modeling: Knowledge of data modeling principles and best practices. • Project Management: Experience in managing data projects, including planning, scheduling, and monitoring tasks. • Communication Skills: Strong verbal and written communication skills to effectively collaborate with team members and stakeholders.