Data Analytics | SAS SQL

💰 ₹21,600 - ₹34,560 (Est.) 📍 Bengaluru

Job Description

Responsible for providing data analysis and insights for Retention/Engagement Marketing and Product teams.
Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers.
Additional responsibilities may include offer sizing, forecasting and developing and maintaining dashboards.
Using new analytical tools and enhancing existing ones where needed.
Providing insight into and develop new ideas and approaches to improve operational results.
Partner with cross functional teams such as Finance, Strategy and Customer Care to understand enterprise trends, competitive environment and their impacts on subscriber behavior and provide conclusions and recommendations to business owners.
Consolidate information and present to senior management in a clear and concise manner.

Required qualifications, capabilities, and skills
BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance) with 4-7 years of relevant work experience
Expert in SAS/SQL. Proficiency with programming languages such as R/Python is preferred
Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)
Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
Excellent communication skills including an ability to communicate and work effectively with business managers and diverse cross-functional groups
Ability to accommodate change and adapt accordingly
Understanding of credit card P&L is preferred
Preferred qualifications, capabilities, and skills


Experience in summarizing data and building presentations using Powerpoint
Proficiency in standard MS Office applications
Have participated or led data analysis in highly complex business problems
Have developed executive level presentations that identify business trends, operational successes and opportunities based on transactional data
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, ****** orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

💡 Quick Summary

Seeking a career-building opportunity? The Data Analytics | SAS SQL position is now open for candidates interested in the Customer Care Executive sector. This role in Bengaluru offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Customer Care Executive is a plus.

Sponsored

Job Details

Company Name: JPMorgan Chase Bank, N.A.

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The expected salary for Data Analytics | SAS SQL in Bengaluru is ₹21,600 - ₹34,560 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Analytics | SAS SQL is an on-site position based in Bengaluru . Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Analytics | SAS SQL. Previous experience in Customer Care Executive is a plus. Freshers may also apply depending on the employer's requirements.
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