Data Analyst, Rooster Money - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

1 week ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Join us as a Data Analyst, Rooster Money

Take on a new challenge in a cuttingedge data team, in which you'll manage 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

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 dataquality 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, standardising data naming, data definitions and modelling
Identifying areas to increase efficiency, implementing automation of processes and maintaining a high standard of data quality
Providing insights, reasons and theories behind data results, while supporting colleagues to prove or disprove theories
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 a data-related or computer science degree or equivalent experience.

In addition, you'll need experience of using data analysis tools and delivering data analysis in a technology or IT function.

We'll also look for:

Proven experience with visual analytic platforms, such as QuickSight, Power BI and Tableau
Experience in complex SQL and Cloud data platforms, such as AWS and Snowflake
Good knowledge of web analytics, such as Google Analytics and Firebase
An indepth understanding of the interrelationships of data and multiple data domains
Excellent communication and influencing skills