Senior Data Analyst

As a Senior Technical Data Analyst or Data Engineering Analyst at Insight Global, you will play a crucial role in driving analysis, solution design, and delivery across complex, high-impact initiatives within a global asset management environment. Your responsibilities will include: - Operating at the intersection of technology, data, and investment domain expertise to provide advanced analytical leadership - Partnering closely with Investments and Operations teams on the business side and other engineering teams - Ensuring that solutions align with business strategy, regulatory needs, and enterprise technology standards - Defining end-to-end data pipeline requirements covering all phases of data management, including Data Integration, Data Quality, Data Ingestion, Data Modeling, Data Warehousing, Data Security, Business Intelligence, and Data Analysis - Overseeing the implementation of new applications or enhancements to existing ones, ensuring projects are delivered on time, within budget, and meeting business requirements - Contributing to resource planning for analysis workstreams and functional technology needs - Supporting integration initiatives involving APIs, ETL processes, and cloud-based data platform - Guiding analysts and cross-functional teams through the entire project lifecycle, including requirements, refinement, planning, UAT, and go-live Qualifications required for this role include: - 5+ years of experience as a Technical Analyst or Data Engineering Analyst in financial services, with Asset Management preferred - 5+ years of experience with Oracle relational database technologies - Strong Experience with SQL Server - Proficiency in querying for data extraction, validation, and troubleshooting - Proficient/advanced Excel capabilities including pivot tables, advanced formulas, data modeling, and analysis for large datasets - Experience working in Agile environments (Scrum/Kanban) - Experience with AWS - Excellent communication skills and experience facing high-level business stakeholders/clients Nice to have skills and experience include: - Informatica experience - Snowflake experience - PostgreSQL (Aurora) is a plus - Python experience Note: The additional details of the company were not explicitly mentioned in the job description provided. As a Senior Technical Data Analyst or Data Engineering Analyst at Insight Global, you will play a crucial role in driving analysis, solution design, and delivery across complex, high-impact initiatives within a global asset management environment. Your responsibilities will include: - Operating at the intersection of technology, data, and investment domain expertise to provide advanced analytical leadership - Partnering closely with Investments and Operations teams on the business side and other engineering teams - Ensuring that solutions align with business strategy, regulatory needs, and enterprise technology standards - Defining end-to-end data pipeline requirements covering all phases of data management, including Data Integration, Data Quality, Data Ingestion, Data Modeling, Data Warehousing, Data Security, Business Intelligence, and Data Analysis - Overseeing the implementation of new applications or enhancements to existing ones, ensuring projects are delivered on time, within budget, and meeting business requirements - Contributing to resource planning for analysis workstreams and functional technology needs - Supporting integration initiatives involving APIs, ETL processes, and cloud-based data platform - Guiding analysts and cross-functional teams through the entire project lifecycle, including requirements, refinement, planning, UAT, and go-live Qualifications required for this role include: - 5+ years of experience as a Technical Analyst or Data Engineering Analyst in financial services, with Asset Management preferred - 5+ years of experience with Oracle relational database technologies - Strong Experience with SQL Server - Proficiency in querying for data extraction, validation, and troubleshooting - Proficient/advanced Excel capabilities including pivot tables, advanced formulas, data modeling, and analysis for large datasets - Experience working in Agile environments (Scrum/Kanban) - Experience with AWS - Excellent communication skills and experience facing high-level business stakeholders/clients Nice to have skills and experience include: - Informatica experience - Snowflake experience - PostgreSQL (Aurora) is a plus - Python experience Note: The additional details of the company were not explicitly mentioned in the job description provided.