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Data Analytics Senior Analyst - Core Banking

About the Role:

We are seeking a highly motivated and experienced Data Analytics Senior Analyst to join our growing team. In this role, you will play a crucial part in analyzing complex core banking data, uncovering valuable insights, and contributing to strategic decision-making within the organization. You will be responsible for end-to-end data analysis, from data extraction and cleaning to developing insightful reports and visualizations. The ideal candidate possesses a strong understanding of core banking systems, data warehousing principles, and data visualization best practices.
 

About the Team:

Core Accounts Data Platform (CDP) is part of Core Account team within Services group (TTS) and is responsible for building a scalable, high-performance data platform on Big Data technologies (Spark, Scala, Hive, Hadoop) along with Kafka/Java and AI technologies to support core account data needs across multiple lines of businesses. As a tenant on the Vanguard ecosystem, CDP ingests, enriches, and publishes data in both real-time and batch modes. The platform enables downstream consumption through standardized canonical data models (CDMs) and plays a critical role in regulatory reporting, reconciliation, and statement generation. We are a collaborative and fast-paced team focused on innovation, data quality, and automation.
 

Key Responsibilities:

  • Perform in-depth analysis of data attributes related to core banking systems, identifying trends, patterns, and anomalies.
  • Develop a deep understanding of core banking data models, including customer, account, transaction, and product data.
  • Design, develop, and maintain complex ETL processes for data extraction, transformation, and loading from various core banking systems.
  • Create and maintain comprehensive documentation for data definitions, data lineage, and data quality rules.
  • Collaborate with business stakeholders to understand their analytical needs and translate them into actionable insights.
  • Design and develop interactive dashb
  • oards and reports to effectively communicate findings to both technical and non-technical audiences.
  • Stay abreast of industry best practices and emerging trends in data analytics, particularly in the core banking domain.
  • Contribute to the development and maintenance of data governance policies and procedures.
  • Identify and troubleshoot data quality issues, working with relevant teams to implement corrective actions.
  • Participate in the evaluation and implementation of new data analytics tools and technologies.

Skills & Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
  • Experience in a data analytics role, with a strong focus on core banking data.
  • Proven experience working with large and complex datasets, including data extraction, cleaning, transformation, and analysis.
  • Strong SQL skills and experience working with relational databases.
  • Solid understanding of data warehousing concepts and principles.
  • Experience with ER modeling and data modeling tools.
  • Knowledge of core banking platforms such as FLEXCUBE, Finacle, or FIS is a significant plus.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to a non-technical audience.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.

What we’ll provide you

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
 

This role will be based out of our London campus but will be considered as a hybrid role with up to 2 days a week working from home

By joining Citi you receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

                •              27 days annual leave (plus bank holidays)

                •              A discretional annual performance related bonus

                •              Private Medical Care & Life Insurance

                •              Employee Assistance Program

                •              Pension Plan

                •              Paid Parental Leave

                •              Special discounts for employees, family, and friends

                •              Access to an array of learning and development resources
 

Visit our Global Benefits page to learn more. 

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

#LI-RH4

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

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What You Should Know About Data Analytics Senior Analyst - Core Banking, Citi

At Citi, we're on the lookout for a dynamic Data Analytics Senior Analyst to join our Core Banking team in London. This is your chance to dive deep into the world of data analytics, where you'll analyze complex core banking data and uncover insights that can shape strategic decisions across our organization. In this role, you’ll take charge of the complete data analysis process — from extracting and cleaning data to creating insightful reports that resonate with both technical and non-technical audiences. You'll work closely with our Core Accounts Data Platform (CDP), leveraging cutting-edge technologies like Spark and Hadoop to build a scalable data platform tailored for core account needs. If you have a solid background in core banking systems and a knack for data visualization, you'll fit right in! We believe in collaboration and innovation, and that's reflected in our fast-paced environment where your contributions will matter. So if you're looking for a role that not only challenges you but also fosters your professional growth, the Data Analytics Senior Analyst position at Citi is the perfect opportunity. Here, you’ll not only work on vital data initiatives but also enjoy a competitive salary and comprehensive benefits package. Join us in shaping the future of banking through data!

Frequently Asked Questions (FAQs) for Data Analytics Senior Analyst - Core Banking Role at Citi
What are the responsibilities of a Data Analytics Senior Analyst at Citi?

As a Data Analytics Senior Analyst at Citi, your responsibilities include conducting thorough analyses of core banking data, identifying trends, and designing interactive dashboards. You'll handle all aspects of data, from extraction and transformation to visualization and reporting. Your role also involves collaborating with various business stakeholders to turn analytical needs into actionable insights that drive decision-making within the team.

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What qualifications do I need to be a Data Analytics Senior Analyst at Citi?

To qualify for the Data Analytics Senior Analyst position at Citi, you should have a bachelor's degree in a relevant field such as Computer Science or Statistics. Experience in data analytics, particularly with core banking data, is essential. Proficiency in SQL, data warehousing principles, and familiarity with core banking platforms like FLEXCUBE or Finacle will set you apart from other candidates.

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What skills are essential for a Data Analytics Senior Analyst at Citi?

Essential skills for a Data Analytics Senior Analyst at Citi include strong analytical and problem-solving abilities, proficiency in SQL, and an understanding of data modeling. You should be adept at working with large datasets and capable of explaining complex technical concepts to a non-technical audience. Excellent communication skills and a collaborative mindset are also crucial for success in this role.

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What tools and technologies do Data Analytics Senior Analysts use at Citi?

At Citi, Data Analytics Senior Analysts utilize a range of tools and technologies, including Big Data frameworks like Spark and Hadoop, as well as data visualization tools. Knowledge of ETL processes, relational databases, and analytical tools is critical for managing and interpreting the vast data sets pertinent to core banking, contributing to the innovations within our CDP.

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What is the work environment like for a Data Analytics Senior Analyst at Citi?

The work environment for a Data Analytics Senior Analyst at Citi is collaborative and fast-paced, fostered by a culture of innovation and continuous improvement. You will work alongside diverse teams passionate about data quality and governance, enabling a setting where everyone's contributions are valued. The role also supports hybrid working, allowing for a balance between in-office and remote work.

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Common Interview Questions for Data Analytics Senior Analyst - Core Banking
Can you describe your experience with core banking data?

When answering this question, explain the specific core banking systems you have worked with, such as FLEXCUBE or Finacle. Provide examples of data analysis projects you've undertaken and highlight your ability to identify trends and anomalies within core banking datasets.

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What ETL processes have you developed or worked on?

For this question, emphasize your experience in designing, developing, and maintaining ETL processes. Discuss the tools and technologies you've used, like SQL or specific ETL frameworks, and provide examples of how these processes contributed to data quality and accessibility.

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How do you ensure data quality in your analysis?

Discuss your methods for maintaining data quality, such as implementing data validation rules, maintaining documentation for data lineage, and collaborating with teams to troubleshoot data quality issues. Provide specific examples that showcase your attention to detail and problem-solving skills.

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How do you communicate complex data insights to non-technical stakeholders?

When answering this question, focus on your ability to simplify complex concepts using clear language and visual aids. Share examples of reports or dashboards you've created and emphasize your strategies for tailoring your presentation to the audience's level of understanding.

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What methodologies do you use for data analysis?

Discuss the methodologies you prefer, such as regression analysis, trend analysis, or statistical testing, and explain why these are effective in evaluating core banking data. Share specific examples of how your analytical approach has led to actionable insights.

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How do you stay updated with the latest trends in data analytics?

Highlight the resources you use to stay informed, such as industry publications, online courses, and professional communities. Explain how you're proactive in learning about emerging technologies and best practices that enhance your data analytics skills.

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Describe a challenging data analytics project you've worked on.

Use the STAR method (Situation, Task, Action, Result) to frame your response. Share details about the project scope, the challenges you faced, the solutions you implemented, and the positive outcome that resulted from your efforts.

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How do you approach collaboration with cross-functional teams?

Describe your experience working with various departments, such as IT and business stakeholders. Highlight your communication skills, your ability to understand differing perspectives, and examples where collaboration led to successful project outcomes.

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What role do you believe data governance plays in analytics?

Discuss the importance of data governance in ensuring data accuracy, consistency, and compliance with regulations. Highlight how you have contributed to or supported the maintenance of data governance policies in your past roles.

Join Rise to see the full answer
What tools and technologies are you proficient in?

Make a list of tools and technologies relevant to the Data Analytics Senior Analyst role, such as SQL, Spark, Hadoop, and data visualization suites. Explain how you've utilized each effectively in past projects to extract meaningful insights from data.

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Citi’s mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capi...

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Full-time, hybrid
DATE POSTED
April 14, 2025

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