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JPMorgan Chase Dining - Quant Analytics Associate Sr India, Karnataka, Bengaluru 964838543
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As a Quant Analytics Associate within the Dining Data & Analytics team you will be responsible for delivering against Chase Dining’s objectives and working with Dining stakeholders and Data & Analytics partners across the firm. You will work as a member of a cross-functional team to improve the Dining experience for our customers. You will be responsible for building relationships with cross-functional partners and delivering actionable business intelligence in clear and compelling terms. You will have a passion for data visualization and deep analytical understanding.
Job responsibilities
- Delivers persuasive presentations, using date-driven story telling techniques to deliver insights and inform decision makers.
- Performs analyses and dive deep into data sets to identify trends, patterns, correlations and actionable insights to guide decision making.
- Employs statistical and analytics techniques to collect, clean and prepare data to measure performance, forecast metrics, perform analyses, and extract and deliver insights.
- Develops visually engaging dashboards that present key metrics and trends for business stakeholders.
- Works seamlessly with stakeholders, fostering effective communication and joint problem-solving to achieve shared goals.
- Utilizes SQL, Python, and related languages to create elegant data solutions while optimizing database performance and scalability.
- Fosters open communication, actively engage with stakeholders, build strong relationships to ensure alignment, address concerns, and drive successful project outcomes
Required qualifications, capabilities, and skills.
- Minimum 8+ years relevant experience performing hands-on data analysis.
- Bachelor’s degree required; advanced degree in an analytics related discipline preferred.
- Proficient in SQL having the ability to write complex queries and optimize query performance.
- Proficient in Tableau having the ability create engaging dashboards and visualizations.
- Hands-on experience creating database tables and automating workflows.
- Able to multi-task and prioritize, with strong organizational and problem-solving skills.
Preferred qualifications, capabilities, and skills
- Diagnose and resolve data-related challenges, applying analytical skills to identify root causes and implement effective solutions.
- Support the development and instrumentation of frameworks and processes to create efficient and scalable data solutions addressing complex business problems.
- To enhance productivity and learning, document relevant knowledge, ensuring information is captured, organized, and accessible
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