Experienced Data Analyst – Digital Channels, Personalization, and Loyalty Innovation Item Examination
Are you a detail-oriented and analytical individual with a passion for data-driven decision making? Do you have a strong foundation in quantitative fields and experience in data analysis, business intelligence, and data visualization? If so, we encourage you to apply for the Experienced Data Analyst position at arenaflex, where you will be part of a dynamic team that drives innovation and excellence in the airline industry.
About arenaflex
arenaflex is a world-leading airline that is committed to innovation, diversity, and inclusion. We believe that our diverse workforce is the key to our success, and we strive to create a workplace that is welcoming and inclusive for all. Our company culture is built on the principles of collaboration, creativity, and continuous learning, and we offer a range of benefits and perks that support the well-being and growth of our employees.
About the Role
As an Experienced Data Analyst, you will be part of the Computerized Channels, Personalization, and Loyalty innovation Item Examination group, where you will work closely with cross-functional teams to drive business growth and improvement through data-driven insights. Your primary responsibilities will include:
- Developing and maintaining strong relationships with key stakeholders in the Digital Channels, Personalization, and Loyalty innovation groups
- Leading and mentoring a team of data analysts to collaborate with the Digital Operations Community (DOC) on operational metrics
- Interpreting data from various sources, identifying patterns and trends, and presenting insights to improve Functional Greatness (Bull)
- Identifying application enhancements and establishing metrics for measurement
- Displaying and coding data using various tools and technologies
Key Responsibilities
* Data Insights: + Interpret data from various sources to identify patterns and trends + Present insights to stakeholders to improve Functional Greatness (Bull)
- Application Enhancements:
+ Identify opportunities for application enhancements + Establish metrics for measurement
- Team Leadership:
+ Lead and mentor a team of data analysts + Collaborate with the Digital Operations Community (DOC) on operational metrics
- Data Visualization:
+ Display and code data using various tools and technologies
Requirements
* Bachelor's degree in a quantitative field (Software engineering, Math, Statistics, Finance, Designing, Operations Research)
- 4+ years of experience as a Data Analyst, Business Intelligence Engineer, or a related scientific role
- 1+ year (3+ years preferred) of experience as a Director and at least 2 years in a Fortune 500 organization
- Experience presenting to associates and leaders at a MD and VP level and interfacing with all levels of management
- Demonstrated Group Leadership, ability to communicate a vision, move the team towards that vision, and provide support to achieve it
- Master-level BI dashboarding experience (e.g. PowerBI, Tibco Spotfire, etc...) to create significant, rich dashboards
- Advanced SQL skills
- Strong critical thinking skills, using data to solve problems
- Willingness to pursue complex data sets
- Excellent writing, communication, and presentation skills
- Ability to work independently and manage multiple concurrent projects with a focus on results
- Must be legally authorized to work in the US for any employer without sponsorship
Preferred Qualifications
* Graduate degree in a scientific field preferred
- Certifications including Google Data Analytics Professional Declaration, Power BI Data Analyst Partner, AWS Certified Data Analysis, Project Data Warehouse accreditations, Palantir, Customer Side execution metrics tools such as Quantum Metrics
- Experience with DataDog/AppD/Kibana
- Experience with Enterprise Monitoring Systems
- Experience with Palantir Foundry, Microsoft SQL Server Management Studio
- Experience with AWS - Redshift, Quicksight, Athena
- Experience with Big Query, Quantum Metrics, Akamai
- Experience with text analysis and AI
- Data Designing experience
- Familiarity with Python, Flash, R
- Continuous integration and delivery using Spry techniques
What We Offer
* Competitive salary range: $35-45$/Year
- Comprehensive benefits package, including medical, dental, and vision insurance
- 401(k) plan with company match
- Paid time off and holidays
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
How to Apply
If you are a motivated and detail-oriented individual with a passion for data analysis and business intelligence, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to the link below: Apply To This Job We thank all applicants for their interest; however, only those selected for an interview will be contacted. Apply for this job