Data Analytics

3 weeks ago

mumbai, India JPMorgan Chase & Co. Full time

Job Summary:

The AML-KYC Analytics team is part of the CCB Data and Analytics Organization. It supports AML-KYC teams and is responsible for delivering customer insights to drive data-driven decision-making throughout the product development lifecycle. 

This role represents a core analytics responsibility and offers opportunities to contribute thought leadership with exposure to senior leadership. Success in this role will require technical skills, attention to detail, and strong project management skills. You will use your advanced SQL, SAS and Alteryx Analytical tools and project management expertise to deliver insights/reporting on exciting service features and capabilities.

A successful candidate will be an enthusiastic, self-motivated senior analyst with strong execution skills and demonstrated experience managing a diverse suite of analyses. In addition, this role requires critical thinking, analytical storytelling, presentation, technical abilities, and flexibility/ adaptability to change.

Job Responsibilities

Work on analytics initiatives, supporting multiple AML-KYC stakeholders hungry for analytics and insights Bring in experience in the production, optimization and automation of recurrent reports Help measure OKRs, monitor performance of features and capabilities, build hypotheses, conduct and identify opportunities for new features Get involved and work in projects ranging from simple trend analysis to cross-channel journey analysis to prescriptive analytics, which includes data mining, business judgment, and collaboration to improve the customer experience Work on all phases of the analytics lifecycle, including documenting data lineage, scoping, data development, hypothesis development, data analysis, generating insights, developing, and delivering presentations of findings. Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional units. Translate data into meaningful insights and present a compelling story to stakeholders for decision making

'Required Qualifications, Skills and Capabilities:

4+ years of industry experience in a data product/analytics field in a large-scale data environment or equivalent experience Previous experience in the financial services industry preferred Experience working with stakeholders and driving data-driven decision making is desired Bachelor’s degree is required, and a master’s degree is preferred. Intellectually curious and eager to learn new things with an eye for innovation Being able to demonstrate initiative, completing projects/tasks independently is highly desired Highly organized and able to prioritize multiple tasks Good written and oral communication skills  Operational business knowledge of processes, data, controls, and technology platforms

Preferred Qualifications, Skills and Capabilities:

Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key Experience with visualization techniques for data analysis and presentation (Tableau preferred) Basic skills with JIRA, Confluence Familiarity with Cloud (AWS, Snowflake, SageMaker) based data solutions and tools Proficiency in Microsoft Word, Excel, PowerPoint

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