Data Analyst

London, United Kingdom

AccorCorpo

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Company Description

Based in London and reporting into the Director of Business Intelligence. We are seeking a Data Analyst to join our team, working alongside database engineers to extract meaningful insights from our data warehouse. You will be responsible for analysing a wide range of data, including but not limited too; financial, revenue, consumer, behavioural, event-driven and transforming it into actionable reports that inform business decisions at every level, aligning with our data-driven roadmap strategy. You will work closely with various departments and senior stakeholders to ensure the data you deliver is impactful and meets business needs.

Job Description

  • Perform in-depth analysis on structured and unstructured data housed in the data warehouse. With a view to implement a front-end enterprise level BI tool.
  • Design and produce clear and concise reports, dashboards, and visualizations for various departments, including finance, revenue, marketing, operations and our digital teams
  • Identify key trends, patterns, and insights from complex datasets and present findings to senior stakeholders.
  • Collaborate with our Database Engineers and other technical team members to ensure data accuracy, integrity, and availability.
  • Work with large datasets from multiple sources to provide insights that drive decision-making and business strategy.
  • Translate business questions into data queries and actionable insights.
  • Support ad-hoc reporting and analytical requests from different departments.
  • Continuously improve reporting processes to increase efficiency and the quality of deliverables.
  • Participate in the design and development of new data models and tools to support ongoing analysis.

Qualifications

Essential Experience:

  • Experience as a Data Analyst or similar role.
  • Proven track record of ideating, executing, and analysing large-scale data
  • Proficiency in Data tools such as, SQL Server Reporting Services, Power BI, Tableau, Domo or similar reporting/visualization platforms.
  • Proven Experience of using analytics tools
  • Strong knowledge of SQL for querying data from databases and creating reports.
  • Familiarity with Google BigQuery or similar cloud-based data
  • Experience with ETL processes, data pipelines and API’s.
  • Knowledge of statistics and predictive analytics techniques.
  • Experience analysing financial, consumer, behavioural, event-driven data      
  • Experience in analysing user behaviour.

About you:

  • Problem Solving: A proactive attitude toward finding solutions and resolving issues.
  • Learning Mindset: Willingness to make mistakes, experiment, and learn from them.
  • Communication Skills: Ability to effectively communicate technical concepts to non-technical stakeholders.
  • Stakeholder Management: Ability to work closely with senior stakeholders to understand their requirements and translate them into clear reports and insights.
  • Attention to Detail: Strong focus on data accuracy and report quality.
  • Knowledge of the Hotel Industry and experience working within hospitality is beneficial
  • Experience working across complex businesses and managing different stakeholders

 

Additional Information

What’s in it for you…

  • The opportunity to join an innovative, fast-growing, international group that’s committed to not just building new hotels but building a global brand.
  • The chance to challenge the norm and work in an environment that is both creative and rewarding.
  • Become part of a team that’s very passionate about creating great hospitality experiences and building a portfolio of brands.
  • Great discounts across the entire Ennismore family.
  • A competitive package and plenty of opportunity for development.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: APIs BigQuery Business Intelligence Data pipelines Data warehouse ETL Finance Pipelines Power BI SQL Statistics Tableau Unstructured data

Region: Europe
Country: United Kingdom

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