Our direct client, a leader in the global travel industry including being well known in global travel analytics, is seeking a Data Engineer / Analyst with Python, Power BI, SQL and knowledge of Azure where you will be supporting their team with dashboard expertise, advanced data analysis and support of the day-to-day business with data inquiries.
Specific duties will require a strong background using the Microsoft Business Intelligence Suite, with an emphasis on Power BI, SQL and database architecture. The qualified candidate should have 3 to 5 years of relevant experience.
This is an outstanding opportunity to work for a Microsoft Power BI partner!
Note : This is a data exploration role – data discovery, uncover data patterns and trends, analysis to get to root cause in order to influence future change and success
Responsibilities :
- Expertise in data projects including data gathering, modeling, analysis, presentation, monitoring, and iterating on improvements
- Data Analysis : Conduct comprehensive analysis of complex data, identifying trends, and translating insights into actionable recommendations.
- SQL and Database Management : Leverage SQL skills to query, manipulate and manage data within relational databases.
- Power BI Development : Design, develop, and optimize Power BI dashboards and reports andensure they are intuitive, efficient, and tailored to the client's needs.
- Select and engineer features based on mining massive data sets
- Ability to use statistical, machine learning techniques to build models that address business needs
Skills Required :
Bachelor degree in Computer Science, Mathematics / Statistics.3-5 years of Data Engineering / Analyst experience.Strong research, analytical, math, and logic abilitiesDatabase experience with SQL Server or similar platformExperience with Power BI and Python REQUIREDExperience with Azure-based data engineeringData Warehousing, Data Mart and database technologies, standards, and methodologiesHigh proficiency with Microsoft ExcelAnalysis and design skills, critical thinking, and analytical problem solvingAbility to analyze data anomaliesAbility to work well cross functionally, especially with technical teamsAbility to thrive in a fast-paced environment, handle a diverse workload, and meet aggressive deadlines.Any experience in the travel industry is a plus