Insights Analyst
1 month ago
We are seeking a highly skilled Insights Analyst to join our Customer Services Analytics team. As part of this team, you will play a vital role in supporting our efforts to transform complex travel processes into seamless and user-friendly experiences.
The successful candidate will possess strong analytical skills, a deep understanding of business needs, and the ability to leverage technology and data to drive customer satisfaction, streamline operations, and automate processes.
Key Responsibilities- Identify, build, report, and analyze drivers of Operational Key Performance Indicators.
- Continuously undertake deep-dives into key metrics and provide actionable recommendations around customer experience.
- Ad-hoc reporting and analysis to support key strategic initiatives.
- Identify opportunities to improve operational performance as well as processes.
- Provide actionable data-driven recommendations to stakeholders' business questions.
We are looking for a candidate with:
- Experience from a Data Analyst or Data Scientist role.
- A university degree in an analytical field, such as Mathematics, Computer Science, or Physics.
- Strong knowledge of SQL and analytical functions.
- Programming skills in Python.
- Understanding of data modeling techniques and their value in delivering end-user self-service.
- Ability to use data visualization and methodical approaches to communicate analytical findings.
- An inquisitive mindset, being more analytical and insights-driven rather than a developer mindset.
- Comfortable working in Linux environments.
- Effective communication and teamwork skills, with the ability to distill complex subjects to a wider audience.
Familiarity with one or more of the following is considered a plus:
- Experience with customer data platforms and customer data analytics.
- Experience with data visualization and dashboarding tools, such as Looker or Qlik Sense.
We offer:
- An opportunity to be part of a global, rapidly growing organization where we value the opinions of each member of the team.
- A flexible working environment, with a hybrid model that allows for remote work.
Education - Graduate/MBA/Masters in information systems, computer science, statistics.
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