Performance Analytics Analyst

Description:

Responsibilities

• Data Analysis and Interpretation:
  • Analyze customer data to identify trends, insights, and opportunities for segmentation, targeting, and campaign optimization.
  • Interpret data trends and patterns to provide meaningful recommendations for improving onboard revenue or guest commerce.
• Collaboration with Business Stakeholders:
  • Collaborate with teams across the organization, including IT, marketing, finance, and operations, to integrate business ideas with data insights.
  • Communicate complex analytical findings in a clear and understandable manner to both technical and non-technical audiences.
• Beta Testing and Validation:
  • Evaluate the performance of targeted marketing campaigns, including ROI, conversion rates, and customer engagement metrics, and provide recommendations for improvement.
  • Design and execute A/B tests for different marketing strategies (e.g., email, digital ads, etc.) to assess performance, optimize conversion rates, and improve targeting efforts.
• Communication and Documentation:
  • Document analytical processes, methodologies, and findings for future reference.
  • Communicate effectively with team members, stakeholders, and leadership to ensure a shared understanding of analytical results and recommendations.
• Continuous Improvement:
  • Identify opportunities for process improvement within the analytics function.
  • Stay abreast of industry trends and best practices in data analysis and business strategy.
  • Proactively suggest improvements to existing analytical processes and methodologies.
• Analytics Project Management:
  • Drive analytics efforts across multiple projects, ensuring timely and accurate delivery of insights.
  • Take ownership of projects related to onboard revenue or guest commerce and coordinate with team members for successful project execution.

Requirements

• Bachelors Degree in Computer Science, Data Science, Business/Finance Engineering or Math , Data Science or Business Analytics preferred.
• 2+ years of experience (1+ full time) with data analysis and deep analytics. Experience working on multidisciplinary teams in large corporations is required.
• Experience working with building models.
• 1+ years in the Cruise or Hospitality industry preferred.
• Preferred experience developing prototypes or working with scrum teams to develop analytically driven solutions in the cruise or hospitality industry.
• Minimum 2+ years of experience using SQL and data visualization tools such as Tableau or PowerBI.
• Knowledge of statistical foundations to properly analyse large amounts of data in a cohesive way.
• Strong business acumen and the ability to understand and analyse business processes, metrics, and KPIs.
• Strong organizational skills with the ability to handle multi-tasking and work under pressure to meet deadlines. Ability to prioritize and focus on outcomes that drive action plans.
• Teamwork: Demonstrated ability to work effectively in a team environment and collaborate with cross-functional teams.
• Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to a non-technical audience.
• Proven capacity to deal with failure in a positive way.
• Preferred Qualifications:
  • Knowledge of customer segmentation, predictive modeling, and marketing attribution.
  • A/B testing experience for different marketing strategies (e.g., email, digital ads, etc.) to assess performance, optimize conversion rates, and improve targeting efforts.
  • Coding experience preferred. Python or R are a plus.
• Must be legally authorized to work in the United States. Holland America is unable to sponsor or take over sponsorship of employment visas at this time (e.g., H-1B status).