Banking Data Analyst

Must Have Technical Skills:

• Business acumen with Technical skill set

• Experience with programming on Hadoop, Teradata, and/or Oracle platforms in SQL, Spark, and Python.

• Experience working with relational databases, big data, unstructured data files, and understanding data warehouse/ ETL concepts.

• Experience with Oozie, Slurm, Iceberg, or similar automation tools.

• Intermediate Excel skills.

• Experience in data visualization tools like Tableau, Elastic Stack, and Power BI.

• Ability to create process flows.

• Experience with business analytics.

• Experience developing and maintenance of documentation both technical and process/procedural.

Flex Skills:

• Good working understanding on Agile framework, Jira, Confluence, and Git repositories.

• Knowledge of retail lending (know what loans, deposits, etc.)

Degrees/Certifications: Bachelors Degree

Roles and Responsibilities:

• Data Changes

• UAT

• Analysis of data

• Need individuals to come in and do in depth analysis, write requirements, code solutions, work with partners to put prototypes into production.

• Position will be working on a team that support one or multiple data domain(s) of the Retail Business and driving the data needs of the domain(s), through partnership with technology to gather requirements, drive solutions, architect/ design/ develop nimble data solutions, and implement business rules into production. The position will require both technical and non-technical skills sets, working with agile projects, partnering with business partners to make informed decisions, writing/ developing code and business logic, documenting data assets, issue resolutions, and completing ad hoc requests. Advanced organization, time management, critical thinking, communication, and technical skill will be required to navigate small and large scale initiatives to support the data domain.