Data Analyst

at  DMG Events

ABOUT US

dmg events is an international exhibitions and publishing company. We attract more than 425,000 visitors to our global portfolio of 80 exhibitions each year. Through our global events, our aim is simple. We want to accelerate business through face-to-face events, which is why we work so hard to bring people together, creating opportunities for them to network, learn and do business. dmg events is part of the Daily Mail Group Trust (DMGT). DMGT Manages a diverse, multinational portfolio of companies with total revenues of £2bn, that provide businesses and consumers with compelling information, analysis, insight, events, news, and entertainment.

KEY SKILLS & PERSON SPECIFICATION:

• Excellent stakeholder communication and interpersonal skills
• Solid experience in delivering customer data analysis
• Ability to translate business and commercial requirements into an analytical brief
• Skilled in producing written reports and presenting results of analysis, surfacing insights from the data and turning this into actions and strategic changes to the relevant stakeholders
• Significant experience of working with customer data platforms, i.e. advanced knowledge and experience of SQL (essential) required. Knowledge and experience of statistical analysis (R or Python) preferred
• Experience in building and implementing propensity models and customer segmentations is essential
• Someone who is motivated and enthusiastic about getting into the data to identify opportunities that others have missed
• A strong team player
• Commitment to achieving results
• Ability to work independently when required, and take initiative and lead when required
• Ability to multi-task and be flexible in a fast-paced and changing environment
• Passion for the consumer essential

OTHER SKILLS:

• Ability to analyze trends
• Identify problems and deliver corrective actions
• Experience of managing a high volume of transactions
• Knowledge and working experience of complex data extraction
• Transformation, and data-loading techniques

KEY RESPONSIBILITIES:

• Work closely with the business to identify opportunities to improve revenue generation, customer loyalty and campaign effectiveness, delivering actionable recommendations to address these
• Deliver in-depth analytical solutions, models, interpretation and segmentation that will impact on strategic and operational direction and improve campaign response rates
• Provide deep dive analytics around e.g. response profiling, uplift analysis, offer take up, response timing, channel preference and testing to support decisions on campaign strategy
• Build and develop relationships with teams and individuals across the business to both facilitate information gathering and provide analytical support when required