Senior Data Analyst

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, to contribute to data pipeline and reporting development, and to 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 experience, skills, knowledge and education/certification components of the candidate profile should be presented as preferences rather than requirements unless an individual would not be hired for the position without these. Equivalent work experience may be substituted for years of experience.

Requirements:

• 4+ years of experience in data analytics and 1+ years of experience in data engineering.
• 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 visualisations (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.

Essential:

• Expertise in business application development using Power Apps.
• Expertise in data visualisation 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 and data validation techniques).
• Experience in statistical modelling 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. ) is preferred.
• Experience working independently or as part of a team in regional/global projects.
• Working knowledge/experience in revenue management/sales/marketing/loyalty programme domains, or the travel and hospitality industry.

Others:

• Able to analyse 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.

Core Work Activities:

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 Demeanour: Exhibits behavioural 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 Results: Focuses and guides others in accomplishing work objectives.
• Planning and Organising: Gathers information and resources required to set a plan of action for self and/or others; prioritises 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 an 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.

Skills

Power Apps, Power BI, SQL