JPMorgan Operational Risk & Control - Data Analytics Senior Associate 

United Kingdom, Scotland 

555625839

As a Senior Associate in the Operational Risk Framework team, you will be a highly skilled and motivated Data Analytics Specialist. You will have a strong background in data analysis and a deep understanding of tools like Alteryx and Tableau and strong knowledge of SQL. In this role, you will play a critical role in analyzing large datasets, generating insights, and presenting findings to key stakeholders and Senior Management. This is a great opportunity to leverage your skills and make a significant impact in our team.

Job Responsibilities

• Support CIB Op Risk Framework Data & Metrics Lead to document, streamline and deliver metrics.
• Collaborate with cross-functional teams to identify data analysis needs and develop solutions using Alteryx and Tableau.
• Design, develop, and maintain data models, dashboards, and reports in Tableau to visualize complex data sets.
• Perform data analysis, data mining, and data cleansing to identify trends, patterns, and insights.
• Conduct ad-hoc analysis and deep dives into data to answer business questions and support decision-making.
• Identify areas for process improvement and automation to streamline data analysis workflows.
• Present findings and insights to stakeholders in a clear and concise manner.
• Stay up-to-date with industry trends and best practices in data analytics and visualization.

Required qualifications, capabilities and skills

• High attention to detail.
• Bachelor's degree in a relevant field such as Data Science, Computer Science, or Statistics.
• Proven experience in data analysis, data modeling, and data visualization using tools like Alteryx and Tableau.
• Strong knowledge of SQL and proficiency in querying and manipulating large datasets.
• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Strong attention to detail and ability to work with accuracy in a fast-paced environment.
• Excellent communication and presentation skills, with the ability to effectively communicate complex findings to both technical and non-technical stakeholders.
• Ability to work independently, prioritize tasks, and meet deadlines.

Preferred Qualifications, capabilities and skills

• Experience with other data analysis and visualization tools such as Python or Power BI.
• Knowledge of statistical analysis techniques and predictive modeling.
• Familiarity with data warehousing concepts and ETL processes.
• Experience working with large-scale databases and cloud platforms.