- Participate in the build out of strategic data platforms which entails collaboration with our business and technology partners to build out a robust, scalable data environment
- Partner with client analytic groups to understand business specific data sources, data elements, relationships, and their applicability
- Translate high level business requirements into fully realized, end-to-end analytical solutions
- Identify opportunities & applications for advanced analytics and reporting across the business-aligned testing teams
- Partner with clients to expand machine learning, natural language processing, and automation capabilities
- Conduct exploratory analysis to achieve a strong foundational knowledge of specific business areas
- Apply statistical and mathematical techniques for risk analysis using tools such as Python, R, and SQL
- Streamline processes and reporting using Python and VBA automation
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
What You’ll Bring with You:
- 8+ years in a Data Analytics, Data Mining, Data Science role
- Proficiency in SQL.
- Must have experience working with Agile teams and able to create business and technical user stories in Jira.
- Prefer resources who have Freddie Mac/Client experience.
- Familiarity with working on the command line, able to execute python scrips, navigate to log directories to analyse logs.
- Strong analytical skills including the ability to quickly understand a variety of disparate data sources, distill complex data into analysis that drive decisions, and apply business knowledge to derive valuable insights
- Ability to understand and translate non-technical business requirements into technical rules or methodologies
- Ability to quickly learn business operations and processes
- Strong communication skills and ability to articulate complex material to a diverse audience
- Ability to be flexible and adjust plans quickly to meet changing business needs
- Experience coordinating multiple tasks within aggressive time frames