Final Interview round will be F2F Title: Technical Business Analyst Location: Dallas, TX (Onsite With Hybrid) Long Term Contract Start: ASAP Education: • Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. • Advanced certifications in data analytics and business analysis are a plus. Technical Skills: Data Warehouse Expertise: • In-depth knowledge of data warehouse core concepts, including data architecture, data integration, and data governance. • Strong understanding of logical data modeling and relational database design. Query Writing: • Proficiency in writing SQL queries for data extraction, analysis, and reporting. Azure Services: • Experience working with Azure cloud services, including (preferred but not mandatory): • Azure SQL Server • Azure Data Factory (ADF) • Azure Databricks. Tools & Technologies: • Familiarity with ETL tools like SSIS. • Exposure to data visualization tools such as Power BI or Tableau. Industry Knowledge: • Prior experience in the financial industry is a strong advantage, with knowledge of financial data structures and reporting requirements. Soft Skills: • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. • Excellent communication and interpersonal skills to collaborate effectively with technical teams and business stakeholders. • Ability to work independently and manage multiple priorities in a fast-paced environment. • Attention to detail and a commitment to delivering high-quality work. Responsibilities: Requirements Gathering: • Collaborate with business stakeholders to gather and document requirements for data engineering projects. • Translate business needs into technical specifications for data pipelines, data models, and reporting solutions. Data Analysis: • Analyze large datasets to identify trends, patterns, and insights that support business decision-making. • Write and optimize SQL queries to extract and manipulate data for analysis. Data Modeling: • Design and maintain logical data models to support data warehouse architecture and reporting needs. Collaboration with Data Engineers: • Work closely with senior and junior data engineers to ensure data pipelines and ETL processes align with business requirements. • Provide input on database schema design and optimization. Azure Services Utilization: • Leverage Azure cloud services to support data integration, storage, and analytics workflows. • Collaborate on projects involving Azure Data Factory, Azure SQL Server, and Databricks. Documentation: • Create and maintain comprehensive documentation for business requirements, data models, and technical workflows. Financial Industry Insights: • Apply knowledge of financial data structures and reporting standards to ensure compliance and accuracy in data solutions. Technology Evaluation: • Stay updated with emerging technologies and best practices in data analysis and business intelligence. • Recommend new tools and technologies to improve efficiency and scalability.