Position- Technical Business Analyst with Capital market/Hedge fund exp, Local

Type- Hybrid- 3 Days/week onsite

Location- Dallas, TX

Visa- NO OPT & H1B

Must Have

• Need local people to do in person interviews
• Must come from capital markets or hedge funds – industry exp is important
• Dallas preferred, unless there is an extremely strong candidate
• Must have LinkedIn
• Need long term project Not a short-term gig

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.