SnappTrip, a subsidiary of the Snapp Group, the largest Internet services company in the Middle East, operates in the dynamic field of online travel services, specializing in hotel and ticket reservations. We are an ambitious and passionate team committed to pushing the boundaries of the travel industry, aiming to become the preferred choice for every traveler in Iran. Joining Snapptrip means being part of a team that values education, experience, and international perspectives.
At SnappTrip, we’re proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, we’re able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we’re searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth.
Who You Are
- Excellent quantitative, analytical, and critical thinking skills and an ability to translate metrics, research, and trends into viable recommendations.
- Experience with end-to-end management and ownership of high-priority initiatives and comfortable working on multiple initiatives concurrently.
- Fast learner and self-starter, comfortable working in ambiguity, with strong strategic and critical thinking skills.
- Ability to make sound business decisions by combining several factors to arrive at the best outcome for a given situation; ability to create a compelling narrative using data and insights and share with a broader audience.
- Have excellent oral and written communication skills to communicate issues and influence others, including experience communicating complex information to senior leaders.
- Strong attention to detail and ability to work independently as well as collaboratively in a team environment.
Qualifications
- Proven working experience as a Data Analyst or Business Data Analyst.
- Expertise in advanced SQL and Python.
- Knowledge of data visualization tools such as Power BI, or equivalent.
- Technical expertise in data models, segmentation, and prediction techniques.
- Knowledge of statistics and experience using statistical packages for analyzing datasets.