Data Analytics - SAS, SQL - Associate Sr
Mumbai, Maharashtra, India
JPMorgan Chase & Co.
Job Description
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
- Lead analytics initiatives, supporting multiple AML-KYC stakeholders actively seeking analytics and insights
- Bring in experience in the production, optimization and automation of recurrent reports
- Measure OKRs, monitor performance of features and capabilities, build hypotheses, conduct and identify opportunities for new features
- Get involved and deliver 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
- Manage and 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
- 7+ 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
- 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
- Excellent at completing projects and tasks independently
- Highly organized and able to prioritize multiple tasks
- Excellent written and oral communication skills
- Operational business knowledge of processes, data, controls, and technology platforms
Preferred Qualifications, Skills and Capabilities
- Very 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, etc.)
- 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
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Banking Business Intelligence Confluence CX Data analysis Data Analytics Data management Data Mining Excel Hadoop Jira OKR Python SageMaker SAS Snowflake SQL Tableau Teradata
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