Senior Data Analyst I

The Senior Analyst, Commercial Services Analytics, is responsible for developing, maintaining, and enhancing analytical reports, dashboards, business applications, and data assets that support commercial performance management and decision-making. The role partners with commercial stakeholders to understand business requirements and contribute to data pipeline and reporting development, and ensure the accuracy, consistency, and usability of analytical outputs. The analyst plays a key role in enabling scalable, data-driven decisions and insights across revenue strategy, sales, and related functions.

The core responsibilities for the job include the following:

Leadership:

• Adaptability: Develops strategies and identifies resources to implement and manage change; models flexibility in adjusting priorities; and communicates the need for change in a positive way that encourages commitment.
• Communication: Actively listens and uses appropriate communication styles to deliver complex information in a clear, concise way and influences others to accept a point of view, gain consensus, or take action.
• Problem Solving and Decision Making: Models and sets expectations for solving complex problems, collecting and comparing information to evaluate alternatives, considering their potential impact before making decisions, involving others to gain agreement and support, and guiding others to implement solutions.
• Professional Demeanor: Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution:

• Building and Contributing to Teams: Leads and participates as a member of a team to move the team toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Focuses on and guides others in accomplishing work objectives.
• Planning and Organizing: Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements for self and/or others to accomplish goals and ensure work is completed.

Technical Expertise:

• Develop analytical approaches to support all key business processes throughout the year. Provide support and help develop/maintain/update Continent and GLS tools and develop analysis to identify revenue opportunities.
• Develop measurement techniques to evaluate the effectiveness of multiple initiatives.
• Work closely with operations research and systems personnel in creating and developing decision support systems that will lead to enhanced revenues.
• Respond to requests from Revenue Management stakeholders and other Sales and Marketing stakeholders for data and analysis
• Special projects, including ad hoc requests for information, analysis, and recommendations relative to revenue management initiatives.

Building Relationships:

• Coworker Relationships: Develops and uses collaborative relationships to facilitate the accomplishment of work goals.
• Customer Relationships: Develops and sustains relationships based on an understanding of customer needs and actions consistent with the company's service standards.
• Global Mindset: Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement, and enhance business results; and ensures employees are allowed to contribute to their full potential.

Requirements:

• 4+ years of experience in data analytics.
• Bachelor's degree in a quantitative discipline (data analytics, computer science, information systems, economics, statistics, or a relevant field).
• Hands-on experience developing business applications (3 years or more).
• Hands-on experience developing corporate reports, dashboards, and reporting visualizations (3 years or more).
• Experience in working with, developing, and maintaining data pipelines/databases (3 years or more).
• Preferred: Experience in working with cloud services/platforms and APIs
• Undergraduate degree in computer science or a related technical field or equivalent experience/certification.

Essential:

• Expertise in business application development using Power Apps.
• Expertise in data visualization and dashboard creation to support downstream business analysis in Microsoft Power BI.
• Expertise in database query languages (i. e., SQL) and cloud/on-premise database management, ability to manage mid- to large-sized corporate databases.
• Fluent in written and oral communication in English.

Desirable:

• Experience in consolidating and processing complex data sets (ETL/ELT, data validation techniques).
• Experience in statistical modeling and machine learning in Python or related programming languages.
• Experience working with cloud services/platforms and APIs; HTML and JavaScript a plus.
• Experience in cloud computing platforms/services (i. e., Google Cloud, Microsoft Azure, etc. ) preferred.
• Experience working independently or as part of a team in regional/global projects.
• Working knowledge/experience in revenue management/sales/marketing/loyalty programming domains or the travel and hospitality industry.

Others:

• Able to analyze large volumes of complex information/data and present it in a clear, concise, and intuitive manner.
• Able to work in a fast-paced environment and adapt to changing business conditions/requirements quickly.
• Able to work well independently or as part of a team, initiating and supporting business change.
• Excellent interpersonal, as well as written and oral communication skills.