Process and Data Analyst

This role is part of Enterprise Excellence CitiLean Reengineering Team based out of Gurgaon. The team runs key strategic programs based on business priorities. You will be responsible for supporting and driving Global EE Lean programs. The team offers services in Revenue Enhancement, Operating Model and Process Optimization, Data Analytics, Project Management Framework, Digitization/Automation, and Training/Certifications. You will work closely with senior leadership to address strategic problem statements across the franchise. This role is an opportunity to develop strong re-engineering skills by leveraging data, deep process understanding, and creating solutions using core and emerging technologies. A successful candidate will have a passion for problem-solving, take a process-driven approach, analyze data effectively, and demonstrate a strong aptitude for driving technology solutions. You should possess a keen interest in researching and staying updated on new and emerging industry-relevant technologies that could impact the financial industry. ### Key Responsibilities: #### Process Re-engineering: - Support and participate in process improvement initiatives using CitiLean methodologies such as Lean and Six Sigma. - Analyze existing processes to identify pain points, bottlenecks, and optimization opportunities. - Develop and implement process re-engineering solutions, including process maps and future state designs. - Facilitate workshops and Kaizen events to drive process improvements. - Conduct root cause analysis and develop key performance indicators (KPIs) to measure process changes impact. - Create compelling business cases and presentations to secure stakeholder buy-in. - Mentor and coach junior team members on CitiLean principles. #### Data Analysis: - Gather, analyze, and interpret data to support process re-engineering efforts. - Develop data-driven insights and recommendations for process optimization. - Create visualizations and dashboards to communicate data insights effectively. - Perform statistical analysis and modeling to identify trends and patterns in data. - Prepare analysis reports and ensure data quality and accuracy. #### Core Tech: - Develop and implement automation solutions using core and emerging technologies. - Write scripts and code in Python to automate tasks and integrate systems. - Identify automation opportunities and build automation book of work. - Conduct Proof-of-Concepts and develop Minimal Viable Products for automation solutions. - Research and evaluate new automation tools and technologies. ### Required Skills/Experience: #### Process: - Strong analytical and problem-solving skills. - Experience with process mapping and analysis tools. #### Data Analysis: - Proficiency in data analysis techniques and tools such as Excel and SQL. #### Core Tech: - Intermediate-level Programming experience in Python. - Basic Programming knowledge of HTML, CSS, and Javascript. #### Others: - Excellent communication and presentation skills. - Ability to work effectively with cross-functional teams and senior leadership. - Strong project management skills. ### Desired Skills/Experience: - Lean/Six Sigma certification. - Experience with machine learning and AI technologies. - Financial services industry experience. - Knowledge of data visualization tools like Tableau and Power BI. - Familiarity with 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. *If you are a person with a disability and need a reasonable accommodation to use our search tools or apply for a career opportunity, review Accessibility at Citi. Citi is an Equal Opportunities Employer.*,