The job responsibilities outlined in this document are not exhaustive and may evolve over time and be reviewed according to business needs.

ROLE DESCRIPTION SUMMARY

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS

• Utilizes rigorous programing and/or analytical tools to develop analytical solutions that conform both to customer requirements and information development standards.
• Collaborates with functional leaders and key stakeholders to define problem statement and business objectives, data collection requirements, and desired outcome(s) supported by advanced analytics.
• Own execution and delivery of advanced analytics projects including tooling/demos for end-users; provide regular releases to validate systems, iterate to improve solutions.
• Partner with business units to understand and assess new data sources (unstructured, semi-structured and structured) to improve existing features, modeling capabilities and overall solutions.
• Designs and builds self-service tools using a mixture of statistical and visualization techniques to derive actionable insight from the data to influence decision-making.
• Works as equals with Data Engineers, Quality Engineers, BI Developers and Business Analysts to establish optimal design/development/delivery which properly serves technical teams and our user community. Identifies risks, tradeoffs, and investment decisions to facilitate best approach.

COMPETENCIES

• Desire and ability to work in a highly collaborative environment which includes working on cross-functional teams and demonstrating the flexibility to assume lead or support roles.
• Strong analytical and problem-solving skills. Ability to take lead and manage work in an efficient manner.
• Effective interpersonal skills and well-developed communication skills (oral, written, listening).
• Effectively able to manage competing priorities and handle multiple projects independently.
• Ability to make strategic recommendations.
• Ability to present technical information to a non-technical audience.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Data Science, Engineering, Economics, or related field).
• 5+ years of experience in data analysis, with a proven track record of delivering actionable insights to drive business results.
• 3+ years of experience in Data Science, Developing Machine Learning models.
• Significant experience with programming languages Python, R, SQL.
• Experience in data analysis and writing and developing complex queries using SQL.
• Experience with Tableau, Power BI or similar data visualization tools
• Strong understanding of statistical methods and techniques, including hypothesis testing, regression analysis, and machine learning.
• Ability to work autonomously and with small cross-functional teams.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
• Strong communication skills including technical documentation, development and delivery of demonstrations and presentations and the ability to listen and communicate effectively with functional leaders.

OTHER KEY REQUIREMENTS / COMMENTS

• Master’s in computer science, Engineering, or Information Systems
• Experience with Elastic, Hosted Graphite, Grafana or similar data streaming and monitoring technologies.
• Experience in airline / aviation, internet, or telecommunications