Senior Data Analyst

Technical: SQL, Visualization (PowerBI, spotfire, tableau, qlicksense, etc..), Python Functional: Problem solving, Consultative mindset, Insights generation Behavioural: Business communication and articulation, Curiosity, Sense of ownership Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics & statistics. Masters degree is a plus Experience of at least 4-8 years of analytics and statistics. Experience in freight industry is a plus Experience in product marketing analytics, impact analysis is a plus Must have - SQL & SAS/Python experience, with exposure to any visualization tools (PowerBI, Tableau , Spotfire), SQL Good to have cloud computing, big data, Azure, NLP, ML