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The Operations Analytics & Reporting team uses data analysis to improve efficiency, reduce costs, and enhance customer experience across the front and back office. They focus on optimizing contact center performance, automating processes, resolving customer issues, and supporting KYC operations. Projects include enhancing First Contact Resolution, improving complaint and sentiment analysis, streamlining card issuance and return mail processes, and optimizing capacity planning and staffing. They leverage tools like NLP and AI to reduce complaints and identify agent coaching opportunities. Their goal is to drive data-driven decision-making for operational improvements.
Job Responsibility:
Gather operational data from various cross functional stakeholders to examine past business performance
Identify data patterns & trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
Recommend actions for future developments & strategic business opportunities, as well as enhancements to operational strategies
Perform exploratory data analysis, confirmatory data analysis and/or qualitative analysis using relevant tools & techniques
Translate data into insights to drive business strategies for various Operations functions like Customer Service, Collections, KYC & Back Office, Global Workforce Optimization, and communicate clearly and effectively to business partners and senior leaders all findings
Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
Data Analysis & Process Improvement: Expertise in statistical analysis, data mining, process mapping, and process re-engineering (Lean, Six Sigma). Proficiency in data visualization tools (e.g., Tableau, QlikView) to identify trends and present findings
Automation & Programming: Experience with automation tools (e.g., SAS, PySpark) and programming languages (e.g., Python, SQL, Hive) to develop and implement automated solutions for operational processes
Business Acumen & Communication: Strong understanding of business operations and financial metrics. Ability to translate data insights into actionable recommendations and communicate effectively with stakeholders
Customer Focus & Problem-Solving: Demonstrated ability to analyze customer feedback (complaints, sentiment), identify pain points, and develop solutions to improve customer experience. Strong analytical and problem-solving skills to address operational challenges
Domain Expertise (Finance/Banking/Operations): Knowledge of financial services operations, regulatory requirements (e.g., KYC, AML), and industry best practices is highly beneficial
Eligibility Criteria: 2-5 years relevant analytics experience (For Masters)
4-7 years relevant analytics experience (For 4 years Bachelors degree)
What we offer:
Global Benefits: We bring the best to our people. We put our employees first and provide the best-in-class benefits they need to be well, live well and save well
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