Senior Data Specialist | Product Development & Design at Qatar Airways

Doha, , Qatar -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Wrangling, Python, R, Power BI, Tableau, Looker, Predictive Modeling, A/B Testing, Regression Analysis, KPI Tracking, Data Visualization, Statistical Analysis, Data Cleansing, Storytelling, Business Intelligence, Customer Experience Analysis

Industry

Airlines and Aviation

Description

At Qatar Airways, we craft cutting- edge inflight products, enhance passenger comfort, and drive innovation in aviation design. From concept to launch, our Product Development and Design (PDD) Team collaborates with industry leaders to create products that set new standards in travel. If you are passionate about innovation, customer experience, technology, and design, this is your chance to make a lasting impact in the aviation industry. Join our Product Development and Design Team that transforms ideas into reality and shape the future of airline experiences! About the Role You will work closely with product managers, designers, and experience strategists to translate complex datasets into meaningful narratives that shape the future of aviation. As a Senior Data Specialist within the Product Development department at Qatar Airways, you will be responsible for analysing internal data to uncover insights that inform product strategy, operational improvements, and customer experience enhancements. This role is deeply embedded in the business, supporting decision-making through rigorous data exploration, performance analysis, and storytelling. You will work across multiple data sources to identify patterns, trends, and opportunities that help shape the future of passenger experience, product and service offering and innovations. As part of your role, your responsibilities will be inclusive of, but not limited to the following: Analyse internal datasets related to passenger behaviour, product usage, operational performance, and service delivery. Identify trends, anomalies, and opportunities that inform product development decisions. Develop dashboards, reports, and visualisations that support strategic planning and performance tracking. Monitor KPIs across all aspects of the onboard passenger experience from soft to hard product and digital touchpoints and provide regular performance updates and deep dives to support product optimisation. Work closely with product and portfolio owners, designers, service and operational teams to translate data into actionable insights. Support cross-functional initiatives by providing analytical input during planning, reviews, and retrospectives. Act as a trusted advisor on data-driven decision-making within the Product Development team ensuring complete analysis of internal data to cover insights. Prepare clear, compelling presentations and reports for leadership and cross-functional teams and communicate complex findings in accessible language tailored to non-technical audiences. Contribute to strategic narratives that guide future product and service enhancements, to help shape the future of passenger experience, product and service offering and innovations. Perform other department duties related to his/her position as directed by the Head of the Department Be part of an extraordinary story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. About you Bachelor’s or Master’s degree in Data Analytics, Statistics, Business Intelligence, or a related field with minimum 5+ years of experience in data analysis, preferably within aviation, travel, or customer experience domains. Strong skills in data wrangling, cleansing, and transformation using tools like Python (Pandas, NumPy) or R. Ability to interpret complex datasets and extract actionable insights aligned with product and business goals. Solid understanding of descriptive and inferential statistics. Experience building predictive models, trend analyses, and correlation studies to support product decisions. Familiarity with A/B testing, hypothesis testing, and regression analysis. Expertise in creating dashboards and reports using Power BI, Tableau, or Looker. Ability to present data in a clear, compelling format tailored to different stakeholders (e.g., product managers, executives). Experience defining and tracking key performance indicators (KPIs) for product usage, customer satisfaction, and operational efficiency. Ability to build automated reporting systems and performance scorecards. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How to apply If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing the application form.

Responsibilities

Analyze internal datasets to uncover insights that inform product strategy, operational improvements, and passenger experience enhancements. Develop dashboards and reports to monitor KPIs and communicate complex findings to leadership and cross-functional teams.