We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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 approachesAnalyze 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 experiencePractical 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.