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You will be updated with latest job alerts via emailThe Senior Data Analyst will support the AntiMoney Laundering (AML) and Sanctions business by creating insightful visualizations to aid in the detection and prevention of financial crimes. The role requires a strong understanding of data analysis data visualization tools and AML/sanctions regulations. The Senior Data Analyst will be responsible for interpreting complex data sets developing insightful reports and collaborating with compliance legal and risk teams to promote a culture of compliance and risk management across the organization.
We are seeking a highly skilled and experienced Senior Data Analyst to join Compliance Technology Operations (CTO) team which is part of the Global Ethics and Compliance organization.
Responsibilities:
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Basic Qualifications
5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.
Preferred Qualifications
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
Bachelors/Masters Degree in Engineering Economics Statistics Mathematics or related technical discipline
Minimum of 5 years of experience in data visualization and data analysis
Proficiency in data visualization tools such as Tableau Power BI or similar and programming languages such as Python R and SQL
Strong background in data analysis visualization and storytelling with the ability to transform complex data sets into actionable insights and visually compelling narratives
Excellent knowledge of database management data extraction and data manipulation skills
Excellent storytelling and presentation skills with the ability to communicate complex data insights to nontechnical audiences
Ability to work independently and manage multiple projects simultaneously
Open to work in a flexible schedule across different time zones
Preferred Skills:
Knowledge of UX/UI principles to enhance user interaction with data visualizations
Understanding of AML and sanctions regulations
Familiarity with data warehousing and ETL processes
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Full-time