JPMorgan Lead Software Engineer - Business Intelligence 

United States, New Jersey, Jersey City 

839020698

Posting Description

As a Lead Software Engineer at JPMorgan Chase within the Reporting & Analytics team, you will have the opportunity to promote innovation with cutting-edge technologies. You will play a key role in defining product strategy, tool selection, and resolving technical blockers while participating in agile ceremonies. This role offers a chance to deliver creative reporting and analytics solutions, analyze source data, and define optimal data models for reporting and analytics delivery. You will manage Jira backlog, dependencies, and end-to-end delivery responsibilities, including testing and entitlement, to meet business demand.

Job Responsibilities:

• Deliver creative Reporting & analytics solutions and design, with the ability to think beyond routine or conventional approaches
• Analyze source data and define optimal data models for reporting and analytics delivery.
• Manage Jira backlog, dependencies, and end-to-end delivery responsibilities, including testing and entitlement, to meet business demand.
• Define product strategy, select tools, and resolve technical blockers.
• Prepare and deliver presentations summarizing insights and conclusions for executives, leadership teams, and business partners in scheduled analytics meetings.
• Develop a roadmap of advanced analytics initiatives to support multiple lead channels, focusing on agent-facing applications and their knowledge management repositories.
• Create behavioral analytics to understand specialists and personalize their experience.
• Identify, test, and deploy new data types to enhance prediction capabilities and offer analytical recommendations aligned with core objectives.
• Perform technical troubleshooting to resolve issues permanently.
• Investigate issues in model building and production phases, documenting KPI, PoC, workflow, and data sources clearly.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Practical experience in data analysis using tools like SQL, PLSQL, Alteryx, etc.
• Strong coding skills in Alteryx, SQL, Tableau, and Python.
• 12+ years of experience applying statistical methods to real-world problems using SQL and analytical tools like Alteryx, Python, and Tableau.
• Experience in advanced SQL, data warehousing, and development of dashboards and reports in BI tools such as Tableau.
• Experience with reporting tools like QlikSense, Sigma, Tableau, ThoughtSpot, etc.
• Experience with visualization techniques for data analysis and presentation.
• Strong mathematical/statistical skills using Alteryx/Python/SQL/Tableau.
• Knowledge of advanced statistical techniques and concepts: Linear/logistic regression, statistical models, clustering, decision tree, and experience in statistical and data mining techniques: GLM, Random Forest, Boosting, text mining, NLP, etc.
• Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies.
• Experience with Databricks.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.
• Experience in Financial Services or similar industry desired.