GVC Holdings PLC (LSE:GVC) is a multinational sports betting and gaming group operating through online and retail channels.
Through a combination of organic growth and M&A, the Group has expanded rapidly in recent years to become one of the world’s largest listed sports betting and gaming groups. On 28 March 2018 GVC completed the acquisition of Ladbrokes Coral Group PLC, the Group’s first move into retail operations. This came two years after the acquisition of the international online operator, bwin.party digital entertainment plc, in 2016.
The Group owns some of the gaming industry’s leading brands including sports betting-led brands Ladbrokes, bwin, Coral and Sportingbet as well as games-led brands such as Gala, partypoker, PartyCasino and Foxy Bingo. In addition the Group provides online gaming services on a B2B basis to a number of third-party operators such as MGM in the US, PMU in France and Danske Spil in Denmark.
The enlarged GVC Group, generates revenues of over £3 billion annually with a workforce of c.28,000 employees and contractors, in offices and betting outlets across five continents. The Group is focused on regulated markets, with over 90% of revenues now derived from regulated and/or taxed markets and holds licences in more than 20 jurisdictions.
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As a Senior Analyst you will be responsible for the delivery of insights, analytical tools and presentations to organisational stakeholders and to business leaders in business domain areas you are aligned with.
This is a general analytics role and thus expected to work across business domain areas that require the support, but also specialise where requested or needed.
The role is to perform descriptive, statistic, deep dive analysis and produce prototype reporting.
A key part of the role is to prepare, transform, apply analytic techniques and in particular interpret data.
To prepare, present ideas and analysis to key stakeholders and persuade them of the use of the data and analytical tools.
You will be able to build up domain knowledge quickly and perceived as credible by your counterparts in the business function you are working with.
You will be expected to roll out and use analytical tools produced by the central BI team.
Reporting to the Head of CRM Analytics and accountable to business functions you are aligned to, you are expected to proactively work with the rest of the Analytics, BI, Product, Trading and Marketing teams to support and enable them to meet their KPIs and new propositions.
The role is based full time in Gibraltar.
Answer business questions using data and analytic techniques, providing fact based responses.
Data preparation: define, transform and structure data so that the data is ready for analysis.
Define hypothesis/null hypotheses to be tested.
Senior stakeholder management.
Gain agreement and support for analytical approaches and solutions amongst business stakeholders.
Analytics across all digital brands (Coral, Ladbrokes, Gala Bingo and Casino).
Help to shape the direction and alignment of analytics across the company, supporting the heads of BI and analytics management team.
Use control groups and confidence testing to deliver new cause and effect insights.
Develop high standards that are sold in and used across BI.
Work effectively with business counterparts to conceive, specify, pilot and implement analytical applications and tools.
Use abstract thinking and problem solving skills to identify business opportunities and pinpoint problems.
Report on historical facts.
Mentoring and line management responsibility (as and when required) for analysts in the team.
Create new measures and dimensions within the data as needed to solve the problem at hand.
Understand relationships between data.
Apply univariate and multivariate analysis to understand which variables hold predictive signals.
Segmentation of entities such as products and customers.
Embed and educate the brand teams on how to use the analytical outputs in the operation.
Application of predictive and unsupervised models developed by the central BI team.
Build working relationships with 3rd parties, such as media agencies, where necessary.
Apply cause and effect analysis.
Carry out descriptive analysis to a level where you can demonstrate you understand the problem area.
Transform business questions into an analytical plan, select the right analytical techniques and tools to deliver an answer that satisfies the person(s) who asked the questions.
Demonstrate the value of your analytical outputs in terms of decision making improvement and underling revenue or customer behaviour impact.
Educate business users and leaders on how to measure performance.
Work with developers to operationalise and automate any accepted piece of analysis.
Scope and execute analytical projects to meet the needs of the business stakeholders.
Drive analytical projects though to delivery and embed them within the organisation.
Work with your business leaders and teams to meet their analytical need and support ad-hoc requests.
Look for ways of working with the rest of the BI team to fully automate where the same analysis needs to be repeated weekly or periodically.
A responsibility to ensure high standards of data quality.
Drive commercial value through insightful data/analysis.
Diagnosis of issue impacting conversion rates and analysis of conversion chat teams performance (example).
Identify new ways of looking at the data, or problems, and present the approach and output.
Providing the business team with ad-hoc, or regular reporting to support ongoing operations.
Work with BI developers to operationalise and fully automate any accepted piece of analysis.
Prototype (craft) reports but ensure they become automated by driving through the reporting team.
Industrialisation of your analytics output.
Analytics support to develop new products.
Understand how advanced analytic techniques and applications, such as decision trees and clustering techniques, can help to solve business problems.
Use scientific research approach to test/learn/optimise the key areas of focus.
Encourages communication and collaboration across the business, team and stakeholders in order to build strong relationships and develop cross-functional working.
A leader that mentors and develops the team by providing development, coaching, objectives and goal setting, performance management and other people policies as required, ensuring the team is motivated, productive and fully compliant with all regulations and legislation.
Specialist skills and experience required
BSC in an analytics related subject.
Experienced analyst with excellent skills in Excel and have experience of using some other analytical packages, for example; KMIME, Statistica, R, SAS Miner or SAS enterprise guide.
Good understanding of business process within online gaming.
Strong understanding and experience of working with transactional data sets as well as data sets such as site and click stream analytics, with billions of data records.
Demonstrate analytical leadership skills.
Strong application of descriptive analytics and statistical techniques.
Strong presentation skills – able to simplify and articulate complex domain areas to senior stakeholders.
A good knowledge of sport and interest in sports betting.
Experience working with data cubes and also be able use tools such as SQL or other languages to get access to data. You will be experienced with working from a data warehouse environment. We currently use Microsoft SSAS (cubes, Power pivot, Power view, Excel) SQL and Knime as our main analytical tools.
Data Modelling techniques: familiar with dimensions and metrics.
An undergraduate degree that has a strong analytical bias.
Articulate and confident when presenting the output of your work.
Highly data and statistical driven rather than gut feel.
Capable of clarifying business hypotheses and apply analytical techniques to test them.
Capability to interpret data and drive business conclusions.
Has or is keen to gain experience of building or rolling out advanced data mining models to business users.
Good problem-solving ability.
Ability to work across functions and locations.
Understanding of financial reporting, including income statements and performance dashboards.
What we offer
A fun and vibrant working environment in an incredible location.
The opportunity to learn new skills and interact with like-minded individuals in a highly data-driven analytical business at the forefront of the gaming sector.
A generous salary, benefits package and bonus scheme.
Financial and practical support with relocation.
Base salary up to £50k (depending on experience/quality).
Relocation allowance of £500 to spend as you wish + flights to Gibraltar for you.
Rental assistance for 3 months on arrival
- Up to £1,500 per month if based in Gibraltar
- Up to €600 per month if based in Spain
Bonus up to 27.5% based on company performance.
Pension – you contribute 3%, company contribute 6%.
Private medical cover for you.
Holidays – 22 days + 12 bank holidays (same as UK plus 3 others: Commonwealth Day, Queen’s Birthday and National Day).
Free fresh fruit in the office delivered twice a week.
Free Friday breakfast once a month.
Other things to consider
Extra 4% basic points on currency exchange at Western Union.
Company Summer and Christmas party with all expenses paid for.
Departmental day for “team bonding” with all expenses paid for.
Impromptu events (c. 2-3 per year) to celebrate success with all expenses paid for.
Societies across most sports.
No commuting costs if you live in Gibraltar.
Low tax rate if you live in Gibraltar.
Crime rate in Gibraltar is incredibly low.
Flights back to the UK can be very cheap if bought in advance.
The weather is great!