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Data Analytics

4 months ago

Mumbai, India JPMorgan Chase & Co. Full time
The Voice Product Analytics (within CCB Data & Analytics organization) is looking for a talented, highly motivated individual with strong data analysis and strategic thinking skills to support advanced analytics projects across Operations functions, channels and products.
Job Summary:
The Voice Product Analytics (within CCB Data & Analytics organization) is looking for a talented, highly motivated individual with strong data analysis and strategic thinking skills to support advanced analytics projects across Operations functions, channels and products. The Voice Product Analytics team is responsible for deriving insights about our customers’ journeys across voice and digital channels and developing and implementing innovative strategies and advanced analytics solutions to improve the customer experience. We work collaboratively with all functional teams across CCB Operations as well as Strategic and Analytics teams across CCB.
The individual will lead initiatives focused on improving the customer experience, reducing operating expenses for Ops Product Groups. S/he will be involved in all phases of the analytics lifecycle, including documenting data lineage, analysis scoping, data development, hypothesis development, data analysis, generating insights, developing and delivering presentations of findings. Our team’s projects range from simple trend analysis to cross-channel journey analysis to prescriptive analytics. The common theme of all the projects is data mining, business judgment and collaboration to improve the customer experience.
You will serve as an expert in leveraging the agile process to deliver on a wide range of business and product-focused analytics including building and updating business cases, exploratory analysis to identify product enhancement opportunities, generating feature performance metrics and dashboards, and crafting data stories and presentations of key findings to stakeholders. You will also leverage enterprise data to develop the right automated data solutions using a mix of customer, account, digital, telephony, financial and operational data. You will have the opportunity to work collaboratively with partners such as Service Product Group, Claims & Disputes Product organization, Machine Learning and Intelligence Operations, Finance, Marketing, Area Product Owners, Operations specialists, and other analytics teams across CCB.
Job Responsibilities:
Support & lead partnerships with key Ops stakeholders and Ops Product groups with 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
Required Qualifications, Capabilities, and Skills:
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 modeling, 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