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- The Product Analytics team at Client's End is on a transformational journey to unlock the full potential of enterprise data build a dynamic diverse and inclusive culture and develop a modern cloud-based data lake architecture to scale our applications and drive growth using data and machine learning.
- Our objective is to enable the enterprise to unleash the potential of data through innovation and agile thinking and to execute on an effective data strategy to transform business processes rapidly accelerate time to market and enable insightful decision making.
- In this role you will partner with various teams to define and execute data acquisition storage transformation processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth.
- This role requires expertise in Client's data sources and technology business intuition and a working knowledge of data transformation and analytical tools.
- Manage data integration and technology projects across the various platforms that comprise Client's data strategy
- Assemble large complex data sets that meet functional / non-functional business requirements.
- Identify design and implement internal process improvements: automating manual processes optimizing data delivery re-designing infrastructure for greater scalability etc.
- Build the infrastructure required for optimal extraction storage transformation and loading ETL of data from a wide variety of data sources
- Work with stakeholders including the Senior management Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Build and maintain databases data pipelines and data warehouses that provide a comprehensive understanding of the business.
- Execute unit tests and validating expected results to ensure accuracy integrity of data and applications through analysis coding writing clear documentation and problem resolution.
- Leverage technical and analytical skills to understand and solve business centric questions
- Coordinate and guide cross-functional projects that involve team members across all areas of the enterprise vendors external agencies and partners
- Ability to manage multiple deliverables both short and long-term in a busy and aggressive environment while staying flexible to dynamic needs and priority levels
- Manage agile development and delivery by collaborating with project manager product owner and development leads
- Bachelor's degree in quantitative field statistics software engineering business analytics information systems aviation management or related degree
- 5 years of experience in data engineering or ETL development role
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with structure semi- structure and unstructured datasets.
- Experience with Big Query SQL server etc.
- Experience with AWS cloud services: Redshift S3 Athena etc.
- Experience with SQL and various database interface tools: SSMS Oracle SQL developer etc.
- Passionate about solving problems through data and analytics and creating data products including data models
- Strong initiative to take ownership of data-focused projects get involved in the details of validation and testing as well as provide a business user perspective to their work
- Ability to communicate complex quantitative concepts in a clear precise and actionable manner
- Proven proficiency with Microsoft Excel and PowerPoint
- Strong problem-solving skills using data to tackle problems
- Outstanding writing communication and presentation skills
- Master's degree
- Experience with Quantum Metrics and Akamai
- Experience with languages: Python R etc.
- Strong experience with continuous integration delivery using Agile methodologies
- Data engineering experience with transportation/airline industry
- Strong problem-solving skills