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Lead Data yst

1 week ago

Dubai, Dubai, United Arab Emirates PrecisionHire Solutions Full time

Experiences:

  • 5+ years in Data Analysis experience (Fewer years' experience will be considered for Masters degree holders)
  • Minimum 5+ years conducting data analysis tasks (e.g. source system identification, data dictionary/metadata collection, data profiling, source-to-target mapping)
  • Proven track record developing and maintaining data documentation artifacts in organizations of similar size and complexity within project deadlines
  • Proven track record developing templates for organizing data analysis output
  • Deep expertise in business transformation rules and understanding of data solution designs
  • Experience building conceptual, logical, and physical data models
  • Experience writing complex SQL queries to analyze data and provide results to business users or project team members
  • Experience with building information designs for data-centric projects on two or more of the following (preferably within an airline industry): Data Warehouses, Big Data Environments for Analytics, Data API, Business Intelligence Solutions
  • Exposure to data governance or business intelligence tools (e.g. Collibra, Snowflake, Microstrategy, Power BI) is a nice-to-have
  • Airline industry experience strongly preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modeling and analysis activities.

Knowledge/Skills:

  • Excellent communicator; able to communicate rationale, approaches, and complex data models to business stakeholders, peers, and management.
  • Operates with a "You Code It, You Own It" mindset (i.e. supports the products they build.
  • Demonstrated problem-solver; able to design and document solutions independently.
  • Strong work ethic, being results-oriented, and accuracy/attention to detail are critical.
  • Demonstrated initiative, able to work both independently and as a team member.
  • Team player; able to collaborate with others to remove blockers, solve complex data problems, and debug/resolve issues.
  • Self-starter and has a passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space.
  • Able to deliver solutions (and associated value) iteratively.
  • Is accountable and displays a positive attitude.