The
Senior Business Analyst
will be part of Operations Analytics within Citi AIM vertical, a global community driving data-driven transformation across Citi. AIM's objective is to generate actionable intelligence for business leaders. The role is critical for driving strategy, process discovery, design, and implementation of analysis solutions and recommendation within Citi Personal Banking Operations. This includes areas such as Customer Service, Core Operations, Credit Operations, Collections, and Recoveries for various lines of business. The role aims to enhance the Operations startegy, reduce expenses, and improve operational efficiency through data-driven insights, analysis and automation.
In this role, you are expected to:
- Gathers operational data from various cross functional stakeholders to examine past business performance
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
- Involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
- Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, 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 onshore business partners in building, implementing, tracking and improving decision strategies
- Bring thought leadership in team projects discussions and help team manger as SME for business and team members
- Mentor juniors in teams and provides guidance day to day basis
- 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 Analytical problem formulations, statistical analysis, data mining and analysis, process mapping, and process re-engineering.
- Automation & Programming: Experience with automation tools (e.g., SAS, PySpark) and programming languages (e.g., Python, SQL) to develop and implement analytics 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): Knowledge of financial services operations, regulatory requirements (e.g., Contact centers, Collections, Core Banking, KYC, AML), and industry best practices is highly beneficial.
Qualifications:
- Experience:
- At least 5+ years with Masters as Education background,
- 7+ years with Bachelors as Education background and experience in relevant domain.
- Analytics Solutions: Proven experience in providing end to end analytics solutions, building story, analysis output presentations, and data management.
- Technical Skills: Exposure in leveraging appropriate tools / technology for data extraction, manipulation and analysis and solutions building solution, including SQL, SAS, Python, Pyspark, MS Excel, Tableau, and other BI tools.
- Coding Expertise: Strong coding expertise in SQL, Pyspark, Python and SAS
- Visualization Tools: Experience with data visualization tools such as Tableau is advantageous.
- Banking Knowledge: Good understanding of the banking domain, banking products and Operations in banking is preferred.
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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