RecruitGibraltar are currently helping our client who is a long established and reputable gaming company who offer long term career growth, excellent salary, relocation assistance, and a rewarding working environment where you can make a real impact. They are looking for a Senior Data Analyst to be be responsible for the delivery of insights, analysis, creation of dashboards and presentations to organisational stake holders and to business leaders in the Performance Marketing domain. 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. The key part to the role is to prepare, transform, apply analytic techniques and in particular to 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 Product Analytics within the BI Team, and accountable to the Performance Marketing and Digital Marketing business functions you are expected to proactively work with the rest of the Analytics, BI, Product
Data preparation: define, transform and structure data so that the data is ready for analysis.
Define hypothesis/null hypotheses to be tested
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
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 technique and tool 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
Qualifications and Educational Requirements
BSC in an analytics related subject preferred
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
Strong understanding and experience working with of transactional data sets as well as data set such 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
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
Salary based on experience with bonus & an excellent relocation and benefits package.