Senior Data Analyst (12-month FTC)

at  Live Nation

THE JOB

We’re seeking a highly skilled and motivated Data Analyst to join our passionate and collaborative team. As a Data Analyst, you will play a crucial role in analysing and interpreting complex data sets against stakeholder requirements to provide valuable insights, identify trends, opportunities for growth, and areas for improvement.
Your primary focus will be on examining ticketing data and market trends to optimise and extend our client facing insights reporting product, recommend opportunities for innovation to produce market leading insights, while also influencing implementation of best practices for analytical presentation to a range of users and stakeholders.
This is an excellent opportunity to apply your analytical expertise to influence the next phase of our data driven evolution, with the ability to influence crucial decisions and execute on high value initiatives and strategies.

WHAT YOU NEED TO KNOW (TECHNICAL SKILLS/COMPETENCIES)

• Proven experience as a Data Analyst or a similar analytical role, preferably with delivering client facing products or solutions.
• Strong experience with Looker as a data visualisation tool, including creating interactive dashboards and reports.
• Strong analytical and problem-solving skills with the ability to analyse complex data sets and draw meaningful insights.
• Familiarity with statistical analysis techniques, predictive modelling, and data mining.
• Excellent communication skills to effectively collaborate with other departments, gather and discuss client requirements, and present solutions and recommendations to both technical and non-technical stakeholders.
• Attention to detail and a strong sense of data accuracy and integrity.
• Ability to work independently and manage multiple priorities simultaneously in a fast-paced environment.
• Knowledge of ticketing systems, customer relationship management (CRM) platforms, and e-commerce platforms is advantageous.
• Tertiary qualification in a relevant field or a related discipline preferred.

YOU (BEHAVIOURAL SKILLS)

• Proactive, driven and highly organised, able to self-start and manage priorities.
• The ability to build and maintain interpersonal and professional relationships.
• A highly motivated and conscientious individual with the ability to use self-initiative.
• A strong team player able to work with different internal departments and external parties
• Strong sense of commitment to work and team.
• Demonstrated ethical behaviours.
• High energy and a personality that thrives in a fast-paced, changing environment.
• Strong attention to detail.
• Asks appropriate questions to ensure understanding, in order to generate new ideas and innovative solutions.
• Carefully weighs the impact of a broad range of related issues or factors.
• Excellent time management skills and ability to multi-task and work under pressure.
• Analytical mind and proven problem-solving ability
• Strong use of initiative and can think on your feet
• Ability to plan and think strategically.
• Paves the way for change, diminishes fear and persuades others to let go of resistance.
• Promote a positive working environment.

• Collaborate with internal and external stakeholders : Work closely with clients, end users and stakeholders from internal teams such as product, finance, engineering, client management, marketing and sales to understand requirements, align data analytics initiatives with business and product goals, enhance operational efficiency, and provide tailored insights.
• Develop Client-facing Reporting Dashboards : Interpret client and user requirements to design and implement intuitive, visually engaging dashboards that provide insightful analytics aligned with best practices, to empower them with the tools they need to make data-driven business decisions.
• Generate Insights : Interpret key data findings, translate and present as actionable insights for business stakeholders.
• Data Quality Assurance : Ensure data accuracy, consistency, and reliability by conducting audits, implementing data validation techniques, and working with engineering to resolve data discrepancies and performance bottlenecks.
• Analysis of Ticketing Data : Analyse large volumes of ticketing data to identify patterns, trends, and key performance indicators (KPIs), to present insights back to internal and external stakeholders.
• Stay Updated : Keep abreast of industry and market trends, emerging technologies, best practices in data analysis, client requirements gathering, and data visualisation. Apply this knowledge to provide recommendations for innovation opportunities and improving business practices.