Data Analyst (LGBT+ Event)

Join us as a Data Analyst

• 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 assist with providing 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 utilize your business and technical analysis skills to help stakeholders make better data driven decisions for the benefit of our customers
• This opportunity is part of the Pride Pathways 6-month career development program; an event designed for individuals from the LGBTQ+ community-it aims to foster inclusive hiring and create equitable career pathways within the organization
• We're offering this senior analyst level role for six months

What youll doAs a Data Analyst, youll play a key role in supporting the delivery of high quality business solutions. You ll capture, validate and document business and data requirements, making sure they are in line with our strategic principles, while working closely with stakeholders to interrogate and interpret large volumes of data to identify, support and challenge business opportunities and identify solutions.

Day-to-day, you ll also be:

• Performing data extraction, storage, manipulation, processing and analysis
• Developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data
• Developing high level operating and business models, as well as detailed process documentation and associated training materials
• Conducting and supporting options analysis identifying the most appropriate solutions
• Articulating and quantifying business impacts in a tangible manner

The skills you'll need

We're looking for someone with good data knowledge and a background in business analysis tools and techniques.

We'll also look for:

• An in-depth understanding of the interrelationships of data and multiple data domains
• Excellent communication and interpersonal capabilities
• Good technical skills