Data Analytics Intermediate Analyst, Citi

Citi

Location:
United States, Irving

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

76230.00 - 106370.00 USD / Year

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Job Description:

The Data Analytics Intmd Analyst is a developing professional role in the field of Data engineering. The Data Engineer is accountable for developing high quality data products to support the Bank’s Regulatory and In-Business requirements and data driven decision making. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Deals with most problems independently and has some latitude to solve complex problems. Applies analytical thinking and knowledge of data analysis tools and methodologies. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

What we offer:

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
August 14, 2025

Expiration:
August 20, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Analytics Intermediate Analyst