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Citi Group Senior Business Analyst C10 - Operations Analytics 
India, Karnataka, Bengaluru 
234928080

Yesterday



In this role, you are expected to:

  • 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.

As a successful candidate, you’d ideally have the following skills and exposure:

  • 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)
Decision Management


Time Type:

Full time

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