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RecruitGibraltar are currently recruiting for a Data Analyst to join a leading online betting and gaming company, with a strong track record of digital innovation. As a pure online business with a mobile first ethos that brings the excitement of casino games, poker and bingo to a rapidly growing number of customers in the leisure betting and gaming market; they have sustained rapid growth over the last few years and are expanding further.

What is the plan for the Data Analyst role?

In order to support the business, Data Analysts are required to deliver consistent and timely business intelligence across all functions of the company and to ensure that data quality and assurance is maintained at all times. You will be working with both local and remote teams and with a wide range of business units to provide data analytics solutions.

What will you do as a Data Analyst?

You’ll get involved in many aspects of the data engineering process including but not limited to the creation of reports and visualisations, developing bespoke analysis, ongoing maintenance and improvement of the reporting platform and systems, business process modelling, supporting the data extraction process, manipulating data extracts, ensuring data quality, ad-hoc analysis and data exploration as and when required by business stakeholders.
You will be analytically minded, curious and able to effectively interpret data and then communicate data backed insights to a variety of end users across the company.
You'll be confident working independently with minimal supervision and enjoy being part of a wider team. You’ll be comfortable working on multiple projects at the same time and be able to self-organise your time to deliver to deadlines when needed.


What do you know that makes you a great Data Analyst?

Previous Data Analysis experience ideally within an eCommerce company.
Strong SQL skills are a must.
Experience of a data visualisation or BI tool such as Tableau or Power BI are preferred.
Some development or coding experience would be advantageous, knowledge of Python or C# even better.
An understanding of Data Warehousing, SQL Server, ETL processes, AWS technologies, Amazon Redshift are all desirable but not necessary.
You should have strong analytical, conceptual and problem-solving abilities.
You will have excellent attention to detail and a methodical approach. An ability to communicate verbally and with data visualisations across different audiences and abilities is required.


Salary circa £35k based on experience with bonus & an excellent relocation and benefits package.