C11 - Data/Information Management Analyst (Global Data Strategy)

About Us

With Citi’s Analytics & Information Management (AIM) group, you will do meaningful work from Day 1. Our collaborative and respectful culture lets people grow and make a difference in one of the world’s leading Financial Services Organizations. The purpose of the group is to enable building Citi’s data assets and to analyze information and create actionable intelligence for our business leaders. We value what makes you unique so that you have opportunity to shine. You also get the opportunity to work with the best minds and top leaders in the analytics space.

Position

We are hiring for the position of Officer – Data Management/Information Analyst in Wealth Data Strategy with technical expertise, based in Chennai, India. In this role, you will be a key individual contributor, responsible for bridging the gap between business needs and technical solutions, working closely with stakeholders, product owners and development team to ensure platform development meets business objectives and requirements. You will be an SME in the group supporting one of our key wealth platform developments team analyzing the data and improvements in platform features and performance.

Key Responsibilities

Requirement Gathering. Engage with stakeholders to identify, gather and document requirements for framework, pipelining solutions and translate business requirements to detailed technical specifications that can be understood and acted upon by development teams.

Technical Solutions Mapping. Collaborate with tech team to map business processes that will be supported by framework and pipelines. Work with cross-functional teams to design end to end technical solutions that optimize business workflows and ensure seamless integration.

Technology Partnership. Work closely with technology teams to identify opportunities for automation, process improvement, and system optimization.

Stakeholder Communication & Collaboration. Serve as the liaison between business stakeholders, product owners, and the tech teams. Facilitate regular meetings and manage stakeholder expectations by delivering clear, concise, and timely updates on development progress, risks, and issues.

Process & Controls Orientation. Develop strong processes, and indestructible controls to address risk and seek to propagate that culture to become the core value of the team.

Agile Project Management. Work with product owners to prioritize features and improvements based on business impact and technical feasibility. Use Agile methodologies (Scrum/Kanban) to facilitate the development process, ensuring efficient execution of tasks within sprints

Quality Assurance. Support the creation and execution of test cases, focusing on validating technical solutions against business requirements. Ensure that the tools, frameworks, and pipelines are thoroughly tested for performance, security, and business continuity.

Documentation & Reporting: Create detailed documentation of requirements, processes, and system interactions for technical solutions and frameworks. Prepare reports and presentations that provide insights and recommendations for stakeholders regarding system performance, business continuity, and pipeline optimization.

Continuous Improvement. Continuously assess existing tools, frameworks to identify opportunities for optimization and automation. Provide recommendations to enhance the scalability, resilience, and efficiency of the solutions being developed.

Mentorship and Knowledge Sharing. Provide technical mentorship to junior team members, sharing your expertise in data engineering and business technology collaboration.

Key Qualifications

Education: Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field.

Experience: Minimum of 6+ years of experience in business analysis, preferably in a tech-focused role with exposure to frameworks, SRE, and data pipelining.

Technical Knowledge: Proficient in PySpark and Python and ability to understand and leverage data engineering principles. Familiarity with cloud platforms with expertise in Snowflake for data storage, retrieval and querying and business intelligence initiatives.

Data Visualization and Reporting: Proficiency in visualizing data using tools like Tableau, Dataiku or similar with strong understanding of ETL processes from Snowflake or other data bases.

Desired Skills: Ability to translate complex technical information into business-friendly language. Strong analytical and problem-solving skills.

Excellent communication and management skills: Ability to manage multiple tasks and competing priorities in a fast-paced environment. Experience with automation tools and cloud-native technologies is a plus.

Mentorship & Leadership: Proven ability to mentor and develop team members while successfully managing and delivering complex projects with measurable impact.

Banking Industry: Prior experience in the banking or financial sector is a plus, or a keen interest in exploring this domain.

Additional Information: This role offers the opportunity to work on innovative projects within a dynamic technical environment. Citi values diversity and inclusion, and we encourage individuals from diverse backgrounds to apply.