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JPMorgan Lead Software Engineer- Data Analytics & Reporting 
United States, New Jersey, Jersey City 
848775712

21.09.2024

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.