Data Ops Capability Deployment - Analyst, Citi

Citi

Location:
India, Pune

Category:
Banking

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Data Ops Capability Deployment - Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new solutions/frameworks/techniques and the improvement of processes and workflow for Enterprise Data function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. The primary purpose of this role is to perform data analytics and data analysis across different asset classes, and to build data science/Tooling capabilities within the team. This will involve working closely with the wider Enterprise Data team, in particular the front to back leads to deliver business priorities. The following role is within B & I Data Capabilities team within the Enterprise Data. The team manages the Data quality/Metrics/Controls program in addition to a broad remit to implement and embed improved data governance and data management practices throughout the region. The Data quality program is centered on enhancing Citi’s approach to data risk and addressing regulatory commitments in this area.

Job Responsibility:

Hands on with data engineering background and have thorough understanding of Distributed Data platforms and Cloud services
Sound understanding of data architecture and data integration with enterprise applications
Research and evaluate new data technologies, data mesh architecture and self-service data platforms
Work closely with Enterprise Architecture Team on the definition and refinement of overall data strategy
Should be able to address performance bottlenecks, design batch orchestrations, and deliver Reporting capabilities
Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets
Build analytics dashboards & data science capabilities for Enterprise Data platforms
Communicate complicated findings and propose solutions to a variety of stakeholders
Understanding business and functional requirements provided by business analysts and convert into technical design documents
Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support
Prepare handover documents and manage SIT, UAT and Implementation
Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives
requires a good understanding of the banking industry
Performs other duties and functions as assigned
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

Requirements:

10 + years of active development background and experience in Financial Services or Finance IT
Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools
Hands on experience for ETL using PySpark on distributed platforms along with data ingestion, Spark optimization, resource utilization, capacity planning & batch orchestration
In depth understanding of Hive, HDFS, Airflow, job scheduler
Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy)
Should be able to write complex SQL/Stored Procs
Should have worked on DevOps, Jenkins/Lightspeed, Git, CoPilot
Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI
Proven experience in implementing Datalake/Datawarehouse for enterprise use cases
Exposure to analytical tools and AI/ML is desired

Nice to have:

Exposure to analytical tools and AI/ML

Additional Information:

Job Posted:
May 01, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Ops Capability Deployment - Analyst