Data Analytics Intermediate Analyst, Citi

Citi

Location:
United States, Irving

Category:
IT - Software Development

Contract Type:
Employment contract

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.

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

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
Excellent communication and problem-solving skills
Hands on experiencing in building data pipelines using Apache Spark
Hands on experience of working on Big Data platforms such as Hadoop, Hive or Snowflake
Understanding of Data Warehousing concepts, Relational and NoSQL database design
Good exposure to data modeling techniques
design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
Bachelor's/University degree or equivalent experience

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
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
discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
August 23, 2025

Expiration:
August 29, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Analytics Intermediate Analyst