DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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 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.