SAS SQL BI - Python
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 16, 2026. Citi scores A on the Alion truth index.
About CITI
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
Analytics and Information Management (AIM)
Citi AIM was established in 2003, and is located across multiple cities in India - Bengaluru, Chennai, Pune, Gurugram and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.
What do we do?
The North America and APAC Consumer bank information management team provides business insights, strategies, recommendations, retrospective reporting, modelling and GenAI support to facilitate faster data driven decisions. The team helps do this based on lots of data exploration, thorough understanding of business needs backed by structured thinking.
Few notables among the multiple areas that we work in:
- Drive Reporting Solutions & Insights: Relevant insights to the business that can accelerate strategic decisions effectively pointing towards early data trends and their drivers
- Business critical Dashboards: self-explanatory and detailed dashboards to review the portfolio health with the business leaders with analytical backing of particular trends of interest
- Assessing Campaign Impacts: Understand the campaign setup and through data exploration get the actual campaign performance in terms of P&L. Using the data put together a solution to optimize the marketing spends based on campaign performance.
- Process Efficacy/Automation: Periodically review existing process and identify potential ways to streamline the process
- Data Visualization
To achieve the best in class analytical solutions across business units we use the best in class tools and technology.
What’s expected from you?
As a Data Information Intermediate Analyst, we are seeking a 4-8 years experienced analytics candidate who should be able to perform below behaviors in their day to day role:
- Client Obsession through structured thinking - Lead client centric analytical and insightful reporting solutions to accelerate strategic decisioning for the business. Individual should be able to have a holistic view of multiple businesses and develop analytics solutions accordingly.
- Analytic Project Execution - Own and deliver multiple and complex analytical projects. This would require an understanding of business context, deeper understanding of the business critical KPIs along with their behavior and impact, identifying trends and patterns with data
- Process Efficacy/Automation: Periodically review existing process and identify potential ways to streamline the process
- Stakeholder Management: Experience in stakeholder management across various functions and regions and should be able to effectively handle partner communications independently.
- Articulation & Presentation Skills: Creating and delivering high class presentations to share the thoughts, the solutions or the problem statement to business stakeholders and senior management
- Ability to coach and mentor juniors.
Skillset you should possess
The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems. Apart from these, they should also have the following skillset
Basic Qualifications
- Master’s or Bachelor’s degree in Engineering/computer science/Statistics from premier institutes with 4+ years of experience in delivering analytical solutions
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Demonstrate thought leadership to approach open ended problems and build solutions
- Should be able to story board solutions - story telling through data is a key qualification for this role.
- Must have hands-on experience in SAS, SQL & Python (good to have)
- Experience in Tableau or similar BI tool.
- Strong hold on excel and power point.
- Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
- Experience in banking with good understanding of the PNL
- Should have excellent communication and inter-personal skills
- Strong process/project management skills
- Multiple stake holder management
- Strong team player
- Ability to guide and mentor Juniors
- Control orientated and Risk awareness
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Data/Information Management------------------------------------------------------
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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