Data Analyst I

7 maanden geleden


Amsterdam, Nederland Booking.Com Voltijd

**About The Company**

It wasn’t so long ago that booking a trip to see the Eiffel Tower, stroll down New York’s iconic Madison Avenue or feel the sand between our toes on Copacabana Beach was simply a matter of a few taps on our smartphone.

Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission.

We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready.
- Think customer first
- Succeed together
- Own It
- Learn Forever
- Do the Right Thing

**About The Role**

Calling all demonstrative data wranglers, superlative storytellers, visualisation visionaries, and movers and shakers. In Fintech at Booking we love to travel and we want to share that passion by providing the best possible flexibility and payments products to our customers and hotel partners.

We are looking for an enthusiastic and motivated Data Analyst focused specifically in the Payments business within Collection Product. This person will have a strong collaboration with Product Manger’s in their area and be part of the larger Analytics Organization within the Fintech Business Unit that is composed of 4 core teams, across 4 locations.

Teaming up with Product Managers, fellow analysts, data engineers, and more, you will be directly involved in enabling business improvements through your own insights/observations, and being an influencer on product and business decisions.

**Key Responsibilities**
- Team up with Product Managers to generate hypotheses for performance of different products
- Defining the performance KPIs, generate analysis and reporting suites to measure performance of different verification channels
- Perform exploratory analysis that interrogates, supports and challenges business assumptions
- Work with data engineers to identify opportunities to improve measurement of product performance
- Automating processes to efficiently manage reporting requirements, and ensure timeliness of information
- Support team on ad hoc analytical requests

**Level of education**: Bachelor degree, Master degree, PhD, or equivalent experience

**Experience**:5+ years (Bachelor degree) & 3+ years (Master degree)

**Requirements of special knowledge/skills**
- Able to communicate technical information and tell the story through data to a non-technical audience
- Experience with either Power BI, Tableau, or other visualization software
- Understanding of statistical hypothesis testing concepts
- Strong experience of leveraging insights and wrangling data from disparate data sources
- Demonstrates strong ownership, stakeholder management and prioritisation skills.
- Strong analytical skills with commercial acumen, with the ability to identify opportunities & threats.
- Strong technical skills in either SQL, Pyspark, Python, or R
- Strong visualisation skills and 2+ years experience using either Tableau or Power BI
- Able to balance the need for accuracy and efficiency

**Would be nice to have skills/experience**
- Experience of working in / for an ecommerce organisation
- Strong knowledge of statistical methods and data / web analysis software
- Power BI / Tableau
- Pyspark

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


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