Data Analytics Senior Specialist

Pegasus Hava Taşımacılığı A.Ş.

ABOUT PEGASUS AIRLINES

Pegasus Airlines, Turkey’s leading low-cost airline, has transformed the aviation sector in the country with an experienced team of over 6,000 and by offering its guests affordable and quality services together with a flawless security record.

Believing it’s everyone’s right to fly, Pegasus offers its guests low fares, on-time departures and new more comfortable aircraft as part of its “low cost airlines” model. Pegasus Airlines flies to 111 destinations on its ever-growing network in 42 countries including 35 domestic and 76 international destinations. Pegasus has Turkey’s youngest fleet with an average age of 5.3 years old and average on-time departure performance of 87.74% in 2019 Q2. Pegasus Airlines is the first airline to have been admitted to the state-subsidised brand-building program Turquality.

Now, we are seeking an Data Analytics Senior Specialist to join our team! 

QUALIFICATIONS

• University degree in a highly quantitative field such as Computer Engineering, CTIS, Statistics, Mathematics or any other Engineering Sciences
• Minimum 3 years of experience - preferably specialization in the field of pricing and revenue management
• Proficiency in PL-SQL database programming language and ability to write code from scratch
• Proficieny in ETL and Oracle DWH concepts
• Experience with R or Python is a plus
• Demonstrated problem-solving skills, ability to multi-task and set priorities.
• Strong analytical mindset with good attention to details, focus on both technical and business aspects
• Fluent in both written and spoken English
• Good communication skills
• Military service must be completed or postponed for at least 2 years for male candidates
• Residing in the Asian side of İstanbul is preferred.

JOB DESCRIPTION

• Maintain and improve inhouse pricing tools - Seasonal set up and daily/weekly production of input and output tables  (e.g. elasticity coefficients, booking reference curves, etc...)
• Monitor daily data streams used as inputs for the tools, and perform sanity checks
• Analyze effectiveness of algorithms and improve based on business strategy, market competition and the feedback from revenue management team
• Coordinate with IT department to ensure a smooth stream of data and to enable the automation process of tools.