The Data Analytics Intermediate Analyst role is ideal for professionals looking to build high-quality data products supporting regulatory, in-business, and data-driven decision-making needs. You’ll leverage expertise in data architecture, warehousing, and analytics to deliver meaningful business outcomes within an agile environment.
- Company: Citi
- Location: Irving, Texas (Hybrid)
- Type: Full-time
- Salary: $76.2K/ yr – $106.4K/ yr
Working at Citi is far more than just a job. As part of a global team of more than 230,000 people, you’ll have the opportunity to grow your career, give back to your community, and make a real impact. This hybrid role as a Data Analytics Intermediate Analyst offers you the chance to develop scalable data solutions, work with advanced big data technologies, and collaborate on critical business initiatives.
Key Responsibilities
- Develop and maintain scalable, extensible, and highly available data solutions.
- Ensure alignment with Citi’s wider architectural vision while delivering critical business priorities.
- Identify and mitigate potential risks in the data supply chain.
- Design and develop analytical data models and pipelines.
- Collaborate with business leaders to ensure technology solutions meet business needs.
- Apply sound ethical judgment, ensuring compliance with applicable laws and regulations.
Qualifications
Required:
- 2-3 years of experience in data engineering using agile methodologies.
- Hands-on experience with ETL using Apache Spark.
- Proficiency in big data platforms such as Hadoop, Hive, or Snowflake.
- Strong understanding of data warehousing concepts.
- Proficient in Python, Java, or Scala.
- Exposure to CI/CD, version control, and automated quality control processes.
Preferred:
- Experience with data quality, validation, and cleansing processes.
- Knowledge of containerization tools like Docker or Kubernetes.
- Familiarity with file formats such as Avro, Parquet, or Iceberg.
- Relevant certifications in data engineering or analytics technologies.
