JPMorgan Lead Software Engineer- Data Analytics & Reporting 

United States, New Jersey, Jersey City 

848775712

Job Responsibilities:

• Collect, organize, and analyze large datasets to identify trends, patterns, and insights.
• Develop and maintain reporting frameworks, dashboards, and visualization tools to effectively communicate complex data to stakeholders.
• Collaborate with internal teams to identify key performance metrics and data requirements for reporting purposes.
• Conduct data mining and ad-hoc analyses to uncover business opportunities and areas for improvement.
• Monitor data quality and ensure data integrity by implementing data validation processes.
• Stay up-to-date with industry best practices and emerging trends in data analysis and reporting techniques.
• Present findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
• Work closely with the IT team to optimize data storage, retrieval, and accessibility.
• Assist in the development and implementation of data governance policies and procedures.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
• Proven experience working in data analysis, reporting, or a related field.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, QlikView) and advanced knowledge of SQL.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Overall knowledge of the Software Development Life Cycle
• Proficiency in programming languages such as Python, R, or SAS.
• Experience with statistical analysis and modeling techniques.
• Knowledge of data management principles, including data governance and data quality.

Preferred qualifications, capabilities, and skills

• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Familiarity with modern front-end technologies
• Familiarity with cloud-based data platforms (e.g., AWS, Azure Cloud) is a plus.
• A Master's degree is a plus.
• Experience with Snowflake is a plus.
• Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.
• Excellent communication skills, both written and verbal, with the ability to present complex data findings to non-technical stakeholders.