Data Analytics Associate (SQL, Tableau, Alteryx) Job in Mumbai at JPMorgan Chase & Co.

JPMorgan Chase & Co. is hiring for the role of Data Analytics Associate (SQL, Tableau, Alteryx)!

Responsibilities of the Candidate:

• Support & lead partnerships with key Ops stakeholders and Ops Product groups with a strong understanding of business drivers, underlying data and processes
• Support demand mitigation programs by providing data and analytics leadership across the servicing organization
• Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
• Contribute to business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly scheduled analytics meetings chaired by the analyst in this role
• Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics

Requirements:

• 3+ years of related experience
• Bachelor's degree in a quantitative or related field or Graduate degree in a related field preferred
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
• Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta)
• Familiarity with AWS, data mining, statistical modelling, machine learning and other advanced analytics methods
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills