Data Analyst, Financial Crime (12 Months)

Join us as a Data Analyst, Financial Crime

• Take on a new challenge in a cutting-edge data team, in which you’ll contribute to the analysis of complex bank, franchise, or function data to identify business issues and opportunities.
• We’ll look to you to provide high-quality analytical input to help develop and implement innovative processes and resolve problems across the bank.
• This is a hands-on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business.
• You’ll work from home some of the time, but you’ll also spend a minimum of two days per week working from the office.
• This role is available for a period of 12 months.

What you'll do

As a Data Analyst, you'll play a key role in supporting the delivery of high-quality business solutions. You’ll be performing data extraction, storage, manipulation, processing, and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.

Day-to-day, you’ll also be:

• Collecting, profiling, and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities.
• Identifying and documenting data migration paths and processes, standardizing data naming, data definitions, and modeling.
• Helping to interpret customer needs and turning them into functional or data requirements and process models.
• Building and maintaining collaborative partnerships with key business stakeholders.

The skills you'll need

• We’re looking for someone with competent experience in Tableau, SQL, and other data analysis tools, delivering data analysis and reporting in a technology or IT function.
• Ability to liaise and set expectations with a range of stakeholder groups and levels.

We’ll also look for:

• A working understanding of Snowflake and AWS technologies.
• Knowledge of DataGrip and other data tooling.
• An in-depth understanding of the interrelationships of data and multiple data domains.
• A background in delivering research based on qualitative and quantitative data across a range of subjects.
• Excellent communication and influencing skills.
• Working knowledge of the Agile framework.