Data Analytics and Transformation- Senior Associate

JPMorgan Chase & Co.•Columbus, OH

About The Position

As a Data Analytics and Transformation Associate within the Incentive Compensation team, you will support data-driven decision-making, improve operational efficiency, and help transform processes through analytics, KPI planning, and automation. You will identify root causes of operational issues, develop solutions, and contribute to a culture of continuous improvement.

Requirements

5+ years of experience in data analytics and transformation with strong data-driven decision-making skills.
At least 2 years in project management and operations, supporting automation projects and process improvements.
Skilled in managing and analyzing large volumes of granular data.
Expertise in Excel and PowerPoint for actionable insights and presentations.
Proficiency with automation tools (UiPath, Automation Anywhere, Pega, Alteryx).
Experience with business process modeling tools (Visio, Lucidchart, Signavio).
Ability to develop and maintain automation scripts or workflows using Python.

Nice To Haves

Team player with the ability to meet tight deadlines.
Strong influencing, problem-solving, and communication skills.
Experience integrating LLMs for document processing, data extraction, and conversational interfaces.
Experience with ServiceNow to streamline inquiries and enhance efficiency.
Strong storytelling skills with analytics; able to communicate insights effectively.
Experience with Tableau for data visualization.
Bachelor’s degree in Information Technology, Business, or a related field.

Responsibilities

Collaborate in planning and developing KPI metrics aligned with organizational goals.
Conduct in-depth data analysis to uncover operational issues and identify root causes.
Streamline daily activities by assessing and improving current processes.
Analyze manual processes to identify inefficiencies and automation opportunities.
Develop process maps and flowcharts to document workflows.
Work with cross-functional teams to implement data-driven improvements.
Develop and execute change management plans, including communication and training.
Map user interfaces for seamless integration with automated solutions.
Identify and implement continuous improvement opportunities.
Utilize ServiceNow to identify root causes of inquiries and enhance customer experience.
Integrate data from legacy systems and multiple flat files for comprehensive analysis and reporting.