JPMorgan Quant Analytics Analyst 

India, Maharashtra, Mumbai 

862227762

Description:

As a Marketing Analytics Professional within our Private Banking division, you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment.

Job Responsibilities:

• Partner with marketing stakeholders to identify opportunities for leveraging data analytics to solve complex marketing challenges.
• Develop and maintain dashboards and reports in Tableau to visualize marketing data insights and track key performance indicators (KPIs).
• Utilize strong SQL and Python coding skills to manipulate and analyze large datasets, and create interactive applications using Streamlit, Dash, or Shiny.
• Conduct in-depth data exploration and mining to understand client behavior, market opportunities, and campaign effectiveness.
• Provide data-driven insights and recommendations to support strategic marketing decision-making and enhance client engagement.
• Foster a data-driven culture by promoting data literacy and encouraging innovative approaches to marketing problem-solving.

Required Qualifications, Capabilities, and Skills:

• Technical Proficiency: Strong expertise in Python for data manipulation and analysis, with experience in using libraries such as Pandas, NumPy, SciPy, Scikit-learn, and Matplotlib. Proficiency in SQL for querying and managing large datasets from various data sources.
• Application Development: Experience with interactive application frameworks like Streamlit, Dash, or Shiny to develop user-friendly data applications that enhance data accessibility and usability.
• Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or Qlik, with the ability to create interactive and insightful dashboards that effectively communicate complex data insights to stakeholders.
• Analytical Skills: Demonstrated ability to work with large datasets, perform complex data analysis, and derive actionable insights. Experience in data cleaning, transformation, and modeling to support data-driven decision-making.
• Problem-Solving: Strong problem-solving skills with the ability to identify issues, analyze data, and develop innovative solutions to complex business challenges.
• Industry Experience: Experience in the financial services industry, particularly in private banking, wealth management, asset management, or marketing analytics.
• Communication: Excellent written and verbal communication skills, with the ability to translate data findings into compelling narratives and present them to diverse audiences.
• Collaboration: Ability to work collaboratively in cross-functional teams, build strong relationships with stakeholders, and contribute to a culture of data-driven decision-making.

Preferred Qualifications, Capabilities, and Skills:

• Educational Background: Advanced degree in Business Analytics, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis and data modeling.
• Machine Learning: Familiarity with machine learning techniques and their application in predictive analytics, including experience with libraries such as Scikit-learn or TensorFlow.
• Project Management: Experience in managing data analytics projects from inception to completion, with the ability to prioritize tasks, manage timelines, and deliver high-quality results.
• Data Governance: Understanding of data governance principles, data quality management, and best practices for ensuring data accuracy and integrity across platforms.
• Innovation: A passion for technology and innovation, with a proactive approach to exploring new tools, techniques, and methodologies to enhance data analytics capabilities.