Data & Business Analysis Expert

hace 6 meses


Madrid, España Parques Reunidos A tiempo completo

Parques Reunidos is one of the leading, fastest-growing leisure park operators in the world. With 50 years’ experience, it owns and operates more than 60 parks across Europe, North America, the Middle East and Australia.

We are currently looking for a:
Data & Business Analysis Expert

Roles & Responsibilities:
Data Analytics and Business Analysis:

- Responsible of data extraction, analysis and visualization within the e-Commerce Centre of Expertise.
- Participate in the migration from Google Analytics 360 and the optimization of Google Analytics 4, ensuring a correct implementation and tagging of the data, that allows us to have visibility and enough granularity to understand customer behaviour on the site.
- Serve as data specialist within the team, including training, defining methodologies and giving them support with data analysis needs.
- Ensure data spread across the organization is accurate and collaborate with other analytics functions to ensure we have a cohesive data ecosystem.
- Create dashboards that help us to monitor business, detect potential issues and improvement opportunities; many times, mixing different sources of information.
- Develop a proactive business monitoring framework that allow us to have a close understanding of the business and take quick decisions, especially during the trading season.
- Define templates and provide data for follow-up meetings with top and mid management.
- Define a methodology to measure the impact on main variables (conversion, average ticket, etc.) of the actions done on the web, with a special focus on monitoring the purchase funnel.
- Transform data into actionable business insights and formulate hypothesis to be tested/improved.
- Liaise with agencies to step-change the implementation of our analytics tools, including tag managers, cookie management platforms, etc.
- Coordination with technical teams of the implementation/development when and if necessary.
- Provide other Customer team members with actionable insights and quantitative information, including but not limited to surveys, user feedback, etc.
- Elaboration of business cases to address specific business opportunities.
- Support the Corporate e-Commerce Director in the Budgeting and Forecasting process, as well as participating on the monitoring of the KPIs of the FPP / Strategic Plan.
- Support the parks teams providing them with data to back-up specific needs and analysis.

**Requirements**:
Languages:

- Fluent in English and Spanish.
- Other European languages (German, French, Italian) would be an advantage.

**Education**:

- BA/BS degree in an analytical field such as Maths/Statistics/Digital Business/Computer Science - preferred
- Postgraduate in these previous areas will be of added value.

**Experience**:

- At least 3 years of experience in data-rich functions, within digital departments / agencies.
- Strong experience using Google Analytics and other analytics tools, like Adobe Analytics and/or others
- Good experience managing tag managers (Tealium, Google Tag Managers,) and creating and step-changing web data layers.
- Usage of dashboarding and analytical tools, such as Google Data Studio, Tableau, Microsoft Power BI, etc.
- Knowledge of database technology and data programming, such as SAS, SQL, Big Query, R/R Studio, Python, etc.
- Experience with advanced UX / behavioural analytics tools, such as Content Square, Quantum Metric, etc. would be a plus.
- Strong analytical ability - ability to turn large data sets into actionable insights.
- Superb Microsoft Office skills: Excel and PowerPoint.
- e-Commerce savvy/literate, a strong understanding of drivers of conversion in e-Commerce.
- Experience in B2C businesses, especially in sectors like Entertainment, Travel and Hospitality.

**Skills**:

- Achievement-driven with a focus on results and business performance, even when it means pushing back and challenging the status quo.
- Someone who thrives in a high-energy, fast-paced in a collaborative environment.
- Accustomed to work in multi-disciplinary and cross-functional teams.
- Used to work in matrix organization with multiple points of entry and requests.
- Strong analytic and critical thinking skills.
- Proactive, reliable, responsible, and accurate with strong attention to detail.
- Highly organized and able to multi-task and prioritize effectively.
- Strong plan and follow-up skills and used to work under tight deadlines.
- Ability to work autonomously and think independently, being able to work with low level of supervision.
- Perfectionist, looking forward of achieving excellence and high data accuracy.
- Do not miss the chance to spark your career now


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