Data Analyst, Grapevine

• Strong experience with SQL (2+yrs), especially PL/SQL
• Good programming and scripting skills, preferably using Python
• Proficiency in data visualization tools such as Power BI, Tableau or similar
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills
• Ability to work independently and manage multiple projects at once
• Capacity for synthesis: an ability to transform complex multidimensional data into synthetic metrics for the use of business decision makers
• Approach: We are looking for someone who is ambitious, pragmatic and logical. A strong communicator who is proactive and works well with people to deliver outcomes, and has fun while doing it. The team is small and nimble, so the candidate also has to be very comfortable in a start-up environment

Desirable

• We are seeking a talented Data Analyst to join our team to support our mission to deliver industry-leading intelligent remarketing to the travel space. They will be responsible for the ingestion and analysis of data and the development of business rules and logic for our core product, as well as delivering insights and performance metrics to internal and external stakeholders via dashboards and reports. They will work closely with our small, nimble and growing team to define and scope ambitious and long-term data analysis projects including Machine Learning projects
• Responsibilities:
• Translate business goals into well-defined data analysis projects
• Clean and manipulate large and complex datasets (SQL / Python)
• Set up business rules to optimise processing of data and define marketing eligibility and triggers
• Perform statistical analysis and modelling to identify trends and patterns in data
• Develop and maintain automated dashboards and reports to deliver data insights to internal and external stakeholders
• Deliver and communicate actionable data-driven insights based on the analysis performed to stakeholders and make recommendations for action
• Collaborate with other teams to identify and implement data-driven solutions
• Perform targeted studies and analysis to support business decision-making
• Stay up-to-date with industry trends and new technologies to support data analysis efforts