Business Intelligence Developer
6 days ago
Welcome to PT. Amadeus Technology Indonesia, a leading provider of innovative travel technology solutions. As a Data Scientist in our Travel Distribution sector's Customer Operations division, you will be part of a dynamic team that supports customers throughout their journey.
Our Capacity Management and Operational Excellence (COE) area focuses on strategic alignment, process optimization, data-driven decision-making, and robust governance. We aim to foster a culture of high quality and continuous improvement, enhancing collaboration and operational efficiency.
The Service Analytics team within Capacity Management plays a crucial role in supporting decision-makers with comprehensive information, ensuring business knowledge, technical expertise, and unwavering quality and trust. Our goal is to deliver data-driven solutions that enhance strategic planning, optimize performance, and foster innovation across the organization.
Main Responsibilities:- Identify internal and external data sources and transform them into actionable insights that inform fact-based decision-making.
- Collect, manage, and analyze diverse, large-scale data from various sources using a variety of tools and data analysis techniques to perform comprehensive data analysis.
- Evaluate the accuracy of collected data.
- Communicate and translate detailed results and their implications to stakeholders.
- Define collection processes and select appropriate data infrastructure to support analysis, continually seeking effective methods to enhance efficiency and effectiveness.
- Implement data analysis algorithms at scale, collaborating closely with data engineering members.
- Work according to established procedures or guidelines and provide inputs to support or influence area decisions, making recommendations on new solutions and proposing improvements by analyzing diverse sources of information.
- Work with moderate guidance and direction from the manager.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience in transforming data into insights to identify and quantify business opportunities.
- Experience in Data Visualization, Machine Learning, and Data Science.
- Strong understanding of statistical analysis and predictive modeling.
- Ability to solve business problems by applying Machine Learning (ML), Artificial Intelligence (AI), statistical learning, pattern recognition, or high-performance computing techniques.
- Proven track record of managing multiple projects simultaneously and delivering results within deadlines.
- Relevant degree in Applied Mathematics, Computer Sciences, Engineering, or a similar field.
- Knowledge of the Travel Industry is beneficial.
- A critical mission and purpose - At Amadeus, you will contribute to powering the future of travel and pursuing a critical mission and extraordinary purpose.
- A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
- Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
- A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
- A complete rewards package - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits.
- A flexible working model - We want our employees to do their best work, wherever and however it works best for them.
- A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
- A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
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