The business problem that this Data Analytics Senior Analyst role at Citigroup is looking to solve involves leveraging in-depth understanding of data analytics to drive business decisions, improve processes, and optimize data quality.
Requirements
- 5+ years of 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 for data storage and processing.
- Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) 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
- Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
Responsibilities
- Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.
- Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.
- Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
- Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
- Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
- Consults with business clients to identify system functional specifications.
- Leads system change process from requirements through implementation; provides user and operational support of application to business users
Other
- 5-8 years of experience implementing data-intensive solutions using agile methodologies.
- Excellent communication and problem-solving skills
- 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
- Bachelor’s/University degree or equivalent experience
