Data Analyst

7 maanden geleden

Amsterdam, Nederland Booking.Com Voltijd

**Data Analyst I**

Data Analysts I work on analytics tasks such as reporting, visualization and analysis within the scope of their team. They consult with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience. Data Analysts I have experience managing stakeholders and can do this largely autonomously (seeking for help in complex scenarios). They prioritize their work for business impact, efficiently adapt to business needs, and manage expectations accordingly. They combine their understanding of the business with the knowledge of data, workflows, methods and tooling to largely autonomously drive analysis and reporting within the scope of their team. They can adapt existing tooling and approaches based on business and user needs. They collaborate with peers in their craft and follow best practices ensuring data quality and stability.

**Key Responsibilities**:

- Responsible for owning the design and delivery of parts of Data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation with some supervision.
- Responsible for working independently on consuming data, preparing it for analytical use and translating business problems to data stories. Can ask for guidance on more complex tasks.
- Responsible for working within the scope of their team and delivering work that informs business decisions for the product / business topic they currently work on.
- Responsible for leveraging foundational skills in data analysis and data visualization to answer business questions. They incorporate stakeholder requirements when creating intuitive and insightful visualizations that translate data into actionable insights.
- Responsible for connecting and collaborating with stakeholders in operational and project-based roles under the guidance of a manager. Uses effective communication to address their needs and presents data insights in an accessible, business-friendly manner.
- Responsible for being flexible in adopting existing internal Data Analytics approaches and expanding their technical competencies when a more efficient way presents itself.
- Responsible for growing their own craft skills while leveraging Data Analytics for impact on well defined business problems.
- Responsible for supporting junior peers when opportunity presents itself through knowledge sharing and setting a good example.
- Responsible for networking and proactively connecting with craft peers beyond the team's scope.
- Must be familiar with the larger data ecosystem at Booking and how it relates to the work they do.
- Responsible for connecting with peers in related crafts (ie. Data Engineering) as needed on specific projects to ensure successful outcomes.
- Must have high level knowledge about the goals of their area (ie. track / vertical).
- Responsible for ensuring quality of their own work by validating it through peer review.

**Requirements of special knowledge/skills**
- Driven and results oriented personality
- Experience of multivariate testing
- Able to weave a narrative when presenting data
- Proven experience of using insights from disparate data sources.
- Demonstrates strong ownership, stakeholder management and prioritisation skills.
- Strong analytical skills and commercially savvy, with the ability to find opportunities & threats.
- Strong technical skills (Hadoop, R, SQL, Python, Excel)
- Power BI/Tableau skills would also be beneficial
- Able to balance the need for accuracy and efficiency
- Able to distil & relay complex, technical information to a non-technical audience

**Desirable skills/experience**
- Experience of working in / for an ecommerce organisation
- Experience in paid search or campaign management
- Cross-device analytical experience (Mobile / Desktop / Tablet / App)
- Strong knowledge of statistical methods and data / web analysis software
- Google Analytics
- Google Tag Manager
- Creating data workflows using Oozie or Argo
- Pyspark

**Pre-**Employment** **Screening**:

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