JP Morgan Chase

2 days ago


Mumbai, India JP Morgan Chase Full time

Quant Analytics Senior Associate - SQL, Alteryx & Tableau


Job Description:


- Join the Card Data & Analytics: Reporting & Automation Team to drive business growth with impactful insights and recommendations.

- As a Quant Analytics Senior Associate within the Card Data and Analytics Team, you'll focus on cross-channel and cross-product analytics and data visualization. You'll analyze customer data across card products, design dashboards using Tableau, and present insights to executive staff. This high-visibility role involves collaborating with senior leaders to contribute innovative ideas and actionable insights, supporting the growth of the Chase credit card business.

Job Responsibilities:

- Design, develop, and maintain customer dashboards for the CCB Card D&A group using Tableau.

- Analyze insights from Tableau dashboards to identify actionable opportunities and monitor initiative effectiveness.

- Present data and insights in an executive, visualized format.

- Automate data preparation for Tableau dashboards using tools like Alteryx, Snowflake, SAS, SQL, and Excel.

- Identify growth opportunities and communicate recommendations to influence marketing strategies.

- Collaborate with cross-functional teams to deliver analyses and strategic roadmaps, driving business strategies.

- Identify opportunities to improve marketing cost efficiency and drive sustainable growth.

Required qualifications, capabilities and skills:

- Minimum 6 years of experience in data visualization and analytics, with strong knowledge of Tableau and Tableau Server.

- Proficient in analytical and statistical tools such as Alteryx, SAS, and SQL.

- Excellent communication skills for effective interaction with leadership, delivering insightful analyses and recommendations.

- Skilled in translating metrics into insights and presenting trends and projections in an executive format.

- Experienced in data automation and ETL tools like Alteryx.

- Proven ability to analyze large datasets and conduct research into data mining issues.

- Strong problem-solving skills, especially in fast-paced environments.

Preferred qualifications, capabilities and skills:

- Bachelor's degree in a quantitative field; Master's in STEM preferred.

- Experience with digital platforms and tools like Adobe Analytics is a plus.

- Preferred understanding of key drivers within credit card P&L.

- Experience with big data technologies and machine learning is advantageous.

JP Morgan Chase, 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.

Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

(ref:iimjobs.com)
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