Data Science Analyst

Requirements:

• A BS Degree in Statistics/Mathematics/Information Systems or quantitative field required (or experience equivalent)
• Minimum of 2-4 years in an analytical/consulting/finance environment
• Experience with common data analysis and statistical toolkits/software environments such as Python, R or others. SQL is a must have.

What you will be doing:

• Work with stakeholders to find workable solutions to our business problems on data. This will require ability to translate problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising
• Set up a test (A/B test or pre-post) to measure performance in the best possible way
• Transform data analysis and communicate business performance in a clear and insightful way to partners to facilitate timely and informed decision-making
• Ensure statistical rigor is applied to all analyses and business recommendations
• Provide performance measurement and insight into key business drivers for GCX and Tech leadership teams.
• Extract, analyse and collate data from various sources to create prototypes and present to senior management
• Work with the global analytics teams to ensure consistency of metric and performance measurement

Nice to haves:

• Experience with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc.
• The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
• Excellent written, verbal, and social communication skills with the ability to communicate with all levels in the organization in a clear, timely and effective manner
• Passion for problem-solving and a solid ability to work with ambiguity