JP Morgan Recruitment Drive 2025 | JP Morgan Hiring Software Engineer

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JPMorganChase, 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.

As a Lead Data Analyst Senior Associate in Operations you will systematically collect, process, and performs analyses on large data sets.
You will turn data into information and information into insights to help drive business decision.

Previous experience in mining large datasets as a data analyst
Draw valid inferences and present them to management leveraging appropriate tools
Exceptional analytical abilities to compile, structure, examine, and present large complex data sets with precision and thoroughness
Strong Alteryx and tableau skills, with aptitude for learning other analytics tools
Good communication and presentation skills to simplify complex data insights for audiences without a technical background
Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking to deliver on-time, to a high standard

Cleans and prepares data: this involves filtering data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance
Explores and analyses data: uses digital tools and techniques to explore and analyse data, identifies patterns, relationships, and trends
Delivers data for multiple large complex strategic programmes and Identify ways to automate data readiness in partnership with product owner(s) and technology
Creates visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance
Analyses quality of critical data elements and works with data owners and / or tech partners to ensure data is ‘fit-for-purpose’
Prepares presentations to communicate the insights and findings from the data to project lead and stakeholders, which can influence decision-making processes
Works with other departments to understand their data needs and help them make informed decisions based on data insights.