Senior Technical Data Analyst - Assistant Vice President

Citi; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Citi seeks a Senior Technical Data Analyst in Pune to bridge business needs with data solutions, focusing on regulatory reporting and liquidity risk. You will collaborate with stakeholders and tech teams to ensure data quality and actionable insights.

Responsibilities include defining data requirements, building robust data models, preparing data for AI/ML, and delivering dashboards using Tableau, Power BI, or QlikView. Requires 6–8 years in a financial services data role.

Qualifications

• Bachelor's degree/University degree or equivalent experience.
• Master's degree preferred.
• 6-8 years of experience as a Technical Data Analyst or similar role within Financial Services, preferably regulatory reporting and liquidity risk.
• Advanced proficiency in SQL for complex data querying, analysis, and optimization across large datasets.
• Demonstrated expertise with Big Data technologies including Hadoop, Spark, Kafka, and cloud-based platforms.

Responsibilities

• Consult with business clients to determine system specifications and coordinate with management and units to meet objectives.
• Define, document, and validate data requirements, data flows, and data lineage for new/enhanced systems.
• Lead data modeling to support reporting, analytics, and processes.
• Prepare data for AI/ML model development with data quality and feature engineering.
• Develop dashboards and reports using Tableau/Power BI/QlikView.

Skills

SQL proficiency

Data analysis

Communication

Problem solving

Deadline management

Education

Bachelor's degree

Master's degree

Tools

Oracle

SQL Server

DB2

Hadoop

Spark

Kafka

AWS S3

Databricks

Tableau

Power BI

QlikView

Python

R

Job description

Job Profile Name: Technical Data Analyst - C12

The Technical Data Analyst is a senior-level position responsible for bridging the gap between complex business requirements and technical data solutions, leveraging advanced analytical and technical skills to develop data-driven solutions, with a focus on regulatory reporting and liquidity risk initiatives. This role will liaise extensively with business stakeholders and technology teams to articulate data needs, extract insights, and ensure data quality and integrity.

Responsibilities:

• Consult with business clients to determine system functional specifications and partner with multiple management teams and other units to meet organizational objectives.
• Define, document, and validate detailed data requirements, data flows, and data lineage for new or enhanced systems and applications.
• Provide technical input during the development and implementation phases, including formulating and defining systems scope, data objectives, and necessary data architecture enhancements for complex, high-impact projects.
• Design and develop robust data models (conceptual, logical, physical) to support reporting, analytics, and business processes.
• Prepare and curate data for AI/ML model development, working closely with AI engineers to ensure data quality, feature engineering, and model validation.
• Utilize advanced SQL for data extraction, manipulation, and analysis from various relational databases, data warehouses, and Big Data platforms.
• Develop and maintain data visualization dashboards and reports using tools such as Tableau, Power BI, or QlikView, translating complex data into understandable business insights.
• Lead the analysis of complex data sets to identify trends, patterns, and anomalies relevant to regulatory reporting, liquidity risk, and other critical financial functions.
• Identify and communicate data-related risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.
• Evaluate new data technologies, analytical tools, and evolving business requirements, and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
• Serve as advisor or coach to new or lower level analysts.
• 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.

Qualifications:

• 6-8 years of experience as a Technical Data Analyst or similar role within the Financial Services industry, preferably in regulatory reporting (e.g., Basel, CCAR, FR 2052a) and liquidity risk.
• Advanced proficiency in SQL for complex data querying, analysis, and optimization across large datasets.
• Strong experience with relational databases (e.g., Oracle, SQL Server, DB2) and data warehousing concepts (e.g., dimensional modeling, star/snowflake schemas).
• Demonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark/Scala Spark), Kafka, and cloud-based data platforms (e.g., AWS S3, Databricks).
• Demonstrated experience with data modeling tools and techniques.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, QlikView) and strong Excel skills for data manipulation and presentation.
• Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable.
• Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.
• Comprehensive knowledge of data analysis principles, methodologies, and data governance frameworks.
• Experience across all phases of the Software Development Life Cycle (SDLC), with a focus on data-centric projects.
• Consistently demonstrates clear and concise written and verbal communication.
• Demonstrated problem-solving and decision-making skills.
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.

Education:

• Bachelor's degree/University degree or equivalent experience.
• Master's degree preferred.

Job Family Group:

Technology

Job Family:

Applications Development

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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