Tiger Analytics is looking for an experienced BI Consultant to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a robust BI consultant, you should have an analytical background, a passion for data processing, and a flair for presenting complex concepts. A top-notch BI consultant will be adept at using figures, datasets, and reports.

1. 6+ years of professional work experience, preferably in the consulting environment
2. Strong SQL skills and hands-on experience with visualization tools like PowerBI, Qlik, and Tableau.
3. Strong project management and team management skills and ability to work with global teams
4. Excellent knowledge of Business intelligence and reporting tools such as PowerBI and Tableau
5. Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
6. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
7. Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
8. Graduate in Business Analytics or MBA or equivalent work experience

Responsibilities:

• Locating, reviewing, and validating data on the company and market.
• Identifying trends and areas for BI analysis. Educating stakeholders on the role of business intelligence.
• Working with data analysts to prepare reports for decision-makers.
• Producing insightful presentations to assist business managers and executives.
• Overseeing BI projects under your control from start to finish.
• Meeting with internal and external stakeholders to generate insight into decision-making.
• Utilizing data analytics tools and visualization platforms.
• Providing feedback and assistance to other employees based on your research.
• Ensuring the security and confidentiality of all data, information, and documents used in BI operations