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Tier-1 brand, metro location, mid-level generalist data/process role increases applicant competition.
Data and process skills transfer well across industries, though financial domain knowledge is beneficial.
Required Python, SQL and process skills but no explicit years, so moderate filter.
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Support and drive global strategic programs focused on process re-engineering, data analytics, automation, and operational efficiency.
Analyze and optimize business processes using CitiLean methodologies, including developing process maps, conducting root cause analysis, and tracking KPIs.
Develop and implement automation solutions using Python and emerging technologies, including conducting POCs and building MVPs to demonstrate automation value.
Bachelor's degree or equivalent; graduate degree from top-tier institution preferred.
Proficient in Python programming (including Flask, Selenium, Pandas, NumPy) and basic knowledge of HTML, CSS, and JavaScript.
Experience with process mapping, data analysis tools (Excel, SQL, statistical software), and automation development.
Work Experience Required: Not explicitly mentioned in the JD; willing to travel up to 25-30% as per business needs.
Experienced in process re-engineering and analytics with strong problem-solving and process improvement skills using Lean/Six Sigma preferred.
Capable of working with senior leadership and cross-functional teams to deliver data-driven insights and automation solutions.
Familiarity with financial services industry, machine learning/AI technologies, and data visualization tools (Tableau, Power BI) is advantageous.