Process and Data Engineer/Analyst

About the Role

This Process and Data Engineer/Analyst role is part of the Enterprise Productivity and Efficiency CitiLean Reengineering Team based out of Gurgaon.

The team runs key strategic programs based on business priorities, and this role will support and drive Global Programs.

The role is a steppingstone to build strong re-engineering skills leveraging data, deep understanding of the process, and developing solutions leveraging core tech and emerging technologies.

Responsibilities

Key Responsibilities include:

• Process Re-engineering: Support and participate in process improvement initiatives using CitiLean methodologies (e.g., Lean, Six Sigma).
• Analyze existing processes to identify pain points, bottlenecks, and opportunities for optimization.
• Develop and implement process re-engineering solutions, including process maps, value stream maps, and future state designs.
• Facilitate workshops and Kaizen events to drive process improvements.
• Conduct root cause analysis to identify and address underlying process issues.
• Develop and track key performance indicators (KPIs) to measure the impact of process changes.
• Develop compelling business cases and presentations to secure buy-in from stakeholders.
• Mentor and coach junior team members on CitiLean principles and practices.
• Support the development and implementation of mobilization plans for process improvement initiatives.
• Data Analysis: Gather, analyze, and interpret data from various sources to support process re-engineering efforts.
• Develop data-driven insights and recommendations to optimize processes and improve decision-making.
• Create visualizations and dashboards to communicate data insights effectively.
• Perform statistical analysis and modeling to identify trends and patterns in data while ensuring data quality and accuracy.
• Conduct sampling studies, time and motion studies, and DILO (Day in the Life Of) analysis to gather data on current processes.
• Prepare analysis reports to help stakeholders understand data analysis steps and make informed decisions.
• Provide quality assurance of imported data, working with quality assurance analysts if necessary.
• Develop and maintain data collection templates for accurate and timely data collection.

What You'll Need

To be successful in this role, you'll need:

• Strong analytical and problem-solving skills.
• Experience with process mapping and analysis tools.
• Proficiency in data analysis techniques and tools (e.g., Excel, SQL, statistical software).
• Intermediate-level Programming experience in Python (including relevant libraries like Flask, Selenium, Pandas, NumPy).
• Basic Programming knowledge of HTML, CSS, and JavaScript.
• Basic Knowledge of AI/ML.
• Excellent communication and presentation skills.
• Ability to work effectively with cross-functional teams and senior leadership.
• Strong project management and communication skills.

Resume Tip

Candidates possessing Lean/Six Sigma certification, experience with machine learning and AI technologies, experience in the financial services industry, and experience with data visualization tools (e.g., Tableau, Power BI) will be provided preference.