Job Description

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Job Summary:

Citi is a leading global bank, and they are seeking a Data Analytics Intermediate Analyst to contribute to developing high quality data products for regulatory and in-business requirements. This role involves designing analytical data models, ensuring alignment with architectural vision, and driving communication between business and IT while applying analytical thinking and data analysis methodologies.

Responsibilities:

• Developing and supporting scalable, extensible, and highly available data solutions

• Deliver on critical business priorities while ensuring alignment with the wider architectural vision

• Identify and help address potential risks in the data supply chain

• Follow and contribute to technical standards

• Design and develop analytical data models

• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

• 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. Integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices.

Qualifications:

Required:

• 2-3 years of experience implementing data-intensive solutions using agile methodologies.

• Experience of modelling data for analytical consumers

• Ability to automate and streamline the build, test and deployment of data pipelines

• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training

• Excellent communication and problem-solving skills

• ETL: 2-3 years of Hands on experiencing in building data pipelines using Apache Spark.

• Big Data: Hands on experience of working on 'Big Data' platforms such as Hadoop, Hive or Snowflake for data storage and processing.

• Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design

• Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures

• Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

• DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

• Bachelor’s/University degree or equivalent experience

Preferred:

• Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls

• Containerization: Understanding of containerization platforms like Docker, Kubernetes

• File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Iceberg

• Others: Basics of Job scheduler like Autosys. Basics of Entitlement management

• Certification on any of the above topics would be an advantage.

Company:

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Founded in 1812, headquartered in San Antonio, Texas, USA, team size 10001+ employees, currently Late Stage. Citi has a track record of offering H1B sponsorships.

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