Hawaiian Holdings - Honolulu, HI

posted 5 months ago

Full-time - Mid Level
Honolulu, HI
Air Transportation

About the position

At Hawaiian Airlines, we are committed to providing our guests with exceptional service rooted in Hawaiian hospitality and aloha. As a Senior Analyst for Loyalty and Travel Products, you will play a crucial role in supporting our marketing analytics team while focusing on enhancing our loyalty programs and travel products. This position requires a blend of analytical expertise and business acumen to drive positive outcomes for our organization. You will be responsible for communicating data insights, reports, and analyses to both business and management teams, ensuring that your interpretations are contextualized within the business framework. Your recommendations will be pivotal in guiding improvements and strategic decisions. In this role, you will build and manage multiple business cases, models, and forecasts that will help steer the company towards favorable business outcomes. You will be expected to extract and compile data from various internal and external sources, evaluating the reliability and appropriateness of the information for our needs. Regular and ad hoc reporting will be a key part of your responsibilities, where you will identify performance indicators and present findings through dashboards and tools designed for data investigations. Your analytical skills will be put to the test as you model and forecast customer behavior, program trends, and identify drivers for business changes. You will also evaluate marketing campaign performance, propose negotiation strategies, and proactively recommend business improvements. As a Senior Analyst, you will track, report, and analyze the performance of marketing campaigns and develop automated reporting processes. You will define analytical and data requirements for our information systems and collaborate with technology teams to implement necessary improvements. In addition to your analytical duties, you will be expected to mentor junior team members and present your findings to executive leadership. Regular meetings will be part of your routine, where you will take notes, assign action items, and ensure follow-up on key initiatives. This position is not just about data; it’s about telling actionable stories with that data to drive the business forward. Other duties may be assigned as needed, making this a dynamic and engaging role within our organization.

Responsibilities

  • Communicate data, reports, and analyses to business and management teams, providing interpretation within the context of the business and making recommendations for improvements
  • Build and manage multiple business cases, models, and forecasts to help guide positive business outcomes
  • Support a specific business area by fielding requests, attending meetings to keep informed of business, and building relationships to anticipate needs
  • Extract and compile data from multiple internal and external sources, evaluating the reliability and appropriate use for the information
  • Create regular and ad hoc reporting, identifying performance indicators, and presenting information in periodic dashboards and tools for data investigations
  • Model, forecast, and explain customer behavior, program trends, drivers for business changes, and opportunities for business improvement
  • Evaluate marketing campaign performance, propose negotiation strategies, proactively recommend business improvements, and assess potential opportunities
  • Track, report, and analyze performance of marketing campaigns, ad-hoc analytic requests, and development/automation of regular reports
  • Define analytical and data requirements for information systems, and work with technology teams on implementing and prioritizing improvements
  • Learn new techniques and act as a guide for other team members using domain expertise
  • Present regularly to executive leadership with prepared projects or hypotheses to test and learn from marketing efforts
  • Host meetings, take notes, and assign/track action items for follow up
  • Perform other duties as assigned

Requirements

  • Bachelor's degree in a quantitative, business, technical, or related discipline; or an equivalent combination of education and related working experience
  • 2 years of professional experience in data analysis or related working experience
  • Proficient in writing advanced SQL queries and working with large data sets
  • Excellent analytical skills and high degree of business acumen
  • Strong organizational, communication, and presentation skills to tell actionable stories with data
  • Good technical skills and knowledge of MS Office, specifically Excel (e.g. pivots, charts, Power Query, etc.)
  • Understanding of relational database architecture and the ability to merge large data sets from disparate sources
  • Experience with statistical modeling, machine learning, operations research, or equivalents
  • Ability to work cross-functionally and lead projects
  • Able to multi-task and prioritize across multiple responsibilities
  • Proficient in a wide range and application of analytical, quantitative, and statistical techniques and tools to derive insights from large, complex data environments solving complex and ambiguous business problems in a timely manner

Nice-to-haves

  • Graduate degree in a research, marketing, or quantitative discipline
  • 4 years of professional experience in data analysis
  • Experience as an analyst in marketing, merchandising, loyalty, or consulting
  • Experience with customer data platforms and Loyalty-based consumer data
  • Knowledge of Tableau or similar data visualization tools to build and automate dashboards and reporting
  • Experience with identifying and presenting on key consumer behaviors and opportunities for personalization using digital journey analytics across multiple touchpoints
  • Prior experience using JIRA or other task management systems to receive, track, prioritize, and complete requests from multiple business owners

Benefits

  • Competitive base salary
  • Variable compensation opportunities
  • Comprehensive total rewards package designed to attract, engage, and retain talent
  • Salary determined by experience and qualifications
  • Expected pay range of $81,000-$116,000
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