TheStaffed
Our client, a top‑tier Management Consulting firm, is seeking a
Lead and Securitisation Data Analyst
to support a top tier Mortgage industry client.
Requirements
8+ years of experience in Business and Data Analysis
Proficiency in SQL
Experience working in Agile teams, including creating business and technical user stories in Jira
Mortgage domain experience (required)
Securitization or Freddie Mac/Fannie Mae experience
Familiarity with command-line operations, including executing Python scripts and navigating log directories to analyze logs
Strong analytical skills with the ability to interpret disparate data sources, distill complex information, and generate actionable insights
Ability to translate non-technical business requirements into technical rules or methodologies
Ability to quickly learn business operations and processes
Strong communication skills, capable of articulating complex concepts to diverse audiences
Flexibility and adaptability to adjust plans based on evolving business needs
Responsibilities
Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders
Partner with client analytics teams to understand business-specific data sources, elements, and relationships
Translate high-level business requirements into complete, end-to-end analytical solutions
Identify opportunities for advanced analytics and reporting across business-aligned testing teams
Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation
Conduct exploratory data analysis to develop a strong understanding of targeted business areas
Work closely with peers, colleagues, and managers to resolve issues and drive project goals
#J-18808-Ljbffr
Lead and Securitisation Data Analyst
to support a top tier Mortgage industry client.
Requirements
8+ years of experience in Business and Data Analysis
Proficiency in SQL
Experience working in Agile teams, including creating business and technical user stories in Jira
Mortgage domain experience (required)
Securitization or Freddie Mac/Fannie Mae experience
Familiarity with command-line operations, including executing Python scripts and navigating log directories to analyze logs
Strong analytical skills with the ability to interpret disparate data sources, distill complex information, and generate actionable insights
Ability to translate non-technical business requirements into technical rules or methodologies
Ability to quickly learn business operations and processes
Strong communication skills, capable of articulating complex concepts to diverse audiences
Flexibility and adaptability to adjust plans based on evolving business needs
Responsibilities
Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders
Partner with client analytics teams to understand business-specific data sources, elements, and relationships
Translate high-level business requirements into complete, end-to-end analytical solutions
Identify opportunities for advanced analytics and reporting across business-aligned testing teams
Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation
Conduct exploratory data analysis to develop a strong understanding of targeted business areas
Work closely with peers, colleagues, and managers to resolve issues and drive project goals
#J-18808-Ljbffr