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● Expertise in data analysis methodologies and processes and their linkages to other processes
● Technical expertise with data models, data mining, and segmentation techniques
● Advanced SQL skills and experience with relational databases and database design.
● Strong knowledge on Python, PySpark, SQL, Java Script.
● Experience building and deploying machine learning models
● Experience with integration efforts (packaged and customized applications) from a data analysis perspective
● Strong business analyst skills, able to work with many different stakeholders to elicit and document requirements
● Solid customer service skills and interpersonal skills.
● Critical thinking skills and attention to detail.
● Good judgement, initiative, commitment and resourcefulness
● Proficient with Skywise platform and tools e.g. Contour, Code-Workbook, Code, Slate and Ontology definitions.
● Knowledge of airline and MRO operations (preferred).
● AWS Cloud Services Skills on services such as EC2, RDS, and Redshift. (Good to have)
Responsibilities:
● Interact with and work collaboratively with product teams
● Analyze and organize raw data
● Build data systems and pipelines
● Evaluate business needs and objectives
● Interpret trends and patterns
● Conduct complex data analysis and report on results
● Combine raw information from different sources
● Explore ways to enhance data quality and reliability
● Independently develop solutions (workflows, small apps, and dashboards) on the Skywise platform.
● Collaborate with peers from other teams to deliver best in class solutions (workflows, small apps, and dashboards) to end users in the airlines.
● Strong airline domain knowledge to engage with airline end users to articulate the pain points / business requirements of the airline end-users.
● Create a repository of solutions developed.
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