Analytics and Information Management (AIM)
Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune 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? Media Sciences team is responsible for optimizing marketing budget through improved attribution and audience insights by measuring and tracking contribution of different channels and acquisitions campaigns; focuses on experiment design & measurement for different marketing strategies & developing dashboards for senior leadership.
The team helps drive data‑driven strategies to engage Citi client across channel.
Few notables among the multiple areas that we work in:
Marketing Analytics
– Manage marketing partners & assess the impact of marketing efforts and optimize return from campaigns in given marketing budget
Event ROI Analytics
– Source & client Events data from multiple sources, assess short & long term of impact of events on client engagement, ROI of the event and design recommendation for future events
Social & Web Analytics
– Understand engagement of Existing & prospect Citi client across Citi pages and social media partners, optimize for banners/offers placement across digital real estate for best returns in terms of client acquisition & engagement
Business critical Dashboards
– self‑explanatory and detailed dashboards to review the ongoing marketing efforts and drive real‑time insights for future actions
Opportunity sizing
– Proactively drive recommendations for future marketing strategies across channels
Process Efficacy
– Periodically review existing & new process and identify potential ways to streamline the process and make them efficient using Gen AI tools like Genesis, Github
Business Intelligence Tools
– Deploy/enhance existing/new reports to other advanced reporting platforms
In order to achieve the best‑in‑class analytical solutions across business units we use the best in class upcoming tools and technology.
What’s expected from you? As a Analytics lead, we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day‑to‑day role:
Client Obsession
– Create client centric analytic solution to business problems. Individual should be able to have a consulting mindset to interact with multiple businesses and develop analytics solutions.
Hands‑on Analytic Project Execution
– Deliver complex analytic projects that requires wrangling with multiple data sources, Digital tools & platforms. This would require an understanding of business context, conversion of business problems to formulate analytical methodology, identifying trends and patterns with data
Data Analysis & Reporting
Extract, clean, and transform data from various sources, including web analytics platforms, CRM systems, and marketing automation tools.
Conduct ad‑hoc data analysis to answer specific business questions and provide insights to stakeholders.
Create clear and concise reports and presentations to communicate findings and recommendations.
Stakeholder Management
– Experience in interacting with business stakeholders to present/discuss/articulate analytics solutions for various business problems
Presentation Skills
– Candidate should be able to convey the results through best in class presentations and dashboards
Ability to effectively
coach and mentor juniors and develop them into independent analysts .
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 /MCA or Bachelor’s degree in Engineering / Technology / computer science from premier institutes with 4-6 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
Hands on experience in SQL, Python, Pyspark, Hive, Impala
Hands on experience working with large, complex, unstructured dataset, data warehouses and ability to pull data using relevant programs and coding.
Experience in working on Investment Analytics, Retail Analytics, Credit Cards, Services, Banking & Markets Financial Services be nice to have
Understating of Customer lifecycle
Should have excellent communication and inter‑personal skills
Strong team player
Ability to guide and Mentor Juniors
Preferred Qualifications
Experience in Python, pyspark, Hive, Impala, SQL programming will be preferred
Credit card and retail banking pnl experience would be preferred
Experience in Tableau would be preferred
Knowledge on Sprinklr, Adobe and other web analytics tools
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.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
#J-18808-Ljbffr
What do we do? Media Sciences team is responsible for optimizing marketing budget through improved attribution and audience insights by measuring and tracking contribution of different channels and acquisitions campaigns; focuses on experiment design & measurement for different marketing strategies & developing dashboards for senior leadership.
The team helps drive data‑driven strategies to engage Citi client across channel.
Few notables among the multiple areas that we work in:
Marketing Analytics
– Manage marketing partners & assess the impact of marketing efforts and optimize return from campaigns in given marketing budget
Event ROI Analytics
– Source & client Events data from multiple sources, assess short & long term of impact of events on client engagement, ROI of the event and design recommendation for future events
Social & Web Analytics
– Understand engagement of Existing & prospect Citi client across Citi pages and social media partners, optimize for banners/offers placement across digital real estate for best returns in terms of client acquisition & engagement
Business critical Dashboards
– self‑explanatory and detailed dashboards to review the ongoing marketing efforts and drive real‑time insights for future actions
Opportunity sizing
– Proactively drive recommendations for future marketing strategies across channels
Process Efficacy
– Periodically review existing & new process and identify potential ways to streamline the process and make them efficient using Gen AI tools like Genesis, Github
Business Intelligence Tools
– Deploy/enhance existing/new reports to other advanced reporting platforms
In order to achieve the best‑in‑class analytical solutions across business units we use the best in class upcoming tools and technology.
What’s expected from you? As a Analytics lead, we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day‑to‑day role:
Client Obsession
– Create client centric analytic solution to business problems. Individual should be able to have a consulting mindset to interact with multiple businesses and develop analytics solutions.
Hands‑on Analytic Project Execution
– Deliver complex analytic projects that requires wrangling with multiple data sources, Digital tools & platforms. This would require an understanding of business context, conversion of business problems to formulate analytical methodology, identifying trends and patterns with data
Data Analysis & Reporting
Extract, clean, and transform data from various sources, including web analytics platforms, CRM systems, and marketing automation tools.
Conduct ad‑hoc data analysis to answer specific business questions and provide insights to stakeholders.
Create clear and concise reports and presentations to communicate findings and recommendations.
Stakeholder Management
– Experience in interacting with business stakeholders to present/discuss/articulate analytics solutions for various business problems
Presentation Skills
– Candidate should be able to convey the results through best in class presentations and dashboards
Ability to effectively
coach and mentor juniors and develop them into independent analysts .
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 /MCA or Bachelor’s degree in Engineering / Technology / computer science from premier institutes with 4-6 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
Hands on experience in SQL, Python, Pyspark, Hive, Impala
Hands on experience working with large, complex, unstructured dataset, data warehouses and ability to pull data using relevant programs and coding.
Experience in working on Investment Analytics, Retail Analytics, Credit Cards, Services, Banking & Markets Financial Services be nice to have
Understating of Customer lifecycle
Should have excellent communication and inter‑personal skills
Strong team player
Ability to guide and Mentor Juniors
Preferred Qualifications
Experience in Python, pyspark, Hive, Impala, SQL programming will be preferred
Credit card and retail banking pnl experience would be preferred
Experience in Tableau would be preferred
Knowledge on Sprinklr, Adobe and other web analytics tools
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.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
#J-18808-Ljbffr