Quant Analytics-Associate
- Collaborate to understand and translate business needs into data models supporting long-term solutions
- Synthesize data from a number of different sources to identify meaningful trends and patterns
- Support creating data points using best practices to ensure high data quality and reduced redundancy
- Assist in rationalizing complex normalized data sets allowing for ease of cross org consumption
- Work directly with business partners across multiple functional organizations to evaluate needs, develop, and implement end-to-end solutions aligned with business objectives.
- Translate data into meaningful insights and present a compelling story to stakeholders for decision making
- Leverage expertise in in the production, optimization and automation of recurrent reports
- Intermediate knowledge of SQL, Alteryx or Tableau
- Experience with Hadoop, Teradata, Oracle or SQL DBs
- Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise
- Intellectually curious and eager to learn new things with an eye for innovation
- Able to demonstrate initiative by completing projects and tasks independently
- Highly organized and able to prioritize multiple tasks
- Good written and oral communication skills
- Operational business knowledge of processes, data, controls, and technology platforms
- Bachelors Degree and 2+ years of analytics or business experience
- Functional industry experience in operations, marketing, credit/risk, technology or finance
- SQL skills with the ability to pull data in an enterprise-scale database environment
- Experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx
- Experience with visualization techniques for data analysis and presentation
- Basic skills with JIRA, Confluence
- Proficiency in Microsoft Word, Excel, PowerPoint
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