Process and Data Engineer/Analyst

This role is part of Enterprise Productivity and Efficiency CitiLean Reengineering Team based out of Gurgaon. The team runs key strategic program based on business priorities. This role will be responsible to support and drive Global Programs.

Some of the key offerings of the Team are Revenue Enhancement, Operating Model and Process Optimization, Data Analytics, Project Management Framework, Digitization / Automation, and Training / Certifications.

CitiLean team works closely with senior leadership to deliver on strategic problem statements across the franchise. 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. A successful candidate will have a passion for problem solving taking a process-driven approach, leveraging and analyzing data and working with a strong aptitude towards driving technology flexibility and solutions. The candidate should have a strong flair for researching and keeping-up-to-date on new and emerging industry-relevant technologies with potential to impact/disrupt the financial industry.

Key Responsibilities:

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.

 Core Tech:

• Develop and implement automation solutions using Core and Emerging technologies 
• Build and customize automation solutions from use case identification through to technical handover and implementation.
• Write scripts and code in Python (including Flask, HTML, CSS, JavaScript) to automate tasks and integrate with systems.
• Support the identification of automation opportunities and help build automation book of work in partner areas.
• Conduct Proof-of-Concepts (POCs) and develop Minimal Viable Products (MVPs) to demonstrate the value of automation solutions.
• Research and evaluate new automation tools and technologies.
• Support the implementation of best practices for automation development and deployment.

Required Skills/Experience:

Below are the required skills/experience for the role: 

Process:

• Strong analytical and problem-solving skills.
• Experience with process mapping and analysis tools.

Data Analysis:

• Proficiency in data analysis techniques and tools (e.g., Excel, SQL, statistical software).

Core Tech:

• 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

Others:

• Excellent communication and presentation skills.
• Ability to work effectively with cross-functional teams and senior leadership.
• Strong project management and communication skills.

Desired Skills/Experience:

Candidates possessing below skills/experience will be provided preference: 

• Lean/Six Sigma certification.
• Experience with machine learning and AI technologies.
• Experience in the financial services industry.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of relevant regulatory and compliance requirements.

Educational Level

• Bachelor's/University degree or equivalent experience. A graduate degree from a top-tier institution is preferred.

Required Travel

• Yes, up to 25-30% of the time (based on business requirements).

Competencies

• Highly motivated, organized, and methodical.
• Logical, analytical, and rational thinker.
• Demonstrated team player.
• Willingness to continuously learn and adapt to new technologies and practices.

Citi is an Equal Opportunities Employer.

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.