Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
As an Analytics Consultant, you will play a key role in leveraging data to drive strategic insights and solutions for our clients in the Consumer Packaged Goods (CPG) industry. This is a technofunctional role, requiring a blend of analytical expertise, technical proficiency, and a solid understanding of the CPG landscape. You will be responsible for data analysis, exploration, and providing actionable recommendations to enhance business performance.

REQUIREMENTS

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• Proven experience as an Analytics Consultant or similar role with a technology focus.

• Strong understanding of the Consumer Packaged Goods (CPG) industry and its key business functions.
• Hands-on proficiency in SQL for data querying and manipulation.
• Practical experience with Python for data analysis, manipulation, and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills with the ability to interpret complex data.
• Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, Business Analytics, or a related discipline.
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• Familiarity with concepts and applications within Revenue Management in the CPG industry.

• Understanding of Supply Chain principles and practices within the CPG industry.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience working directly with CPG clients.

• Utilize SQL and Python to extract, clean, transform, and analyze large datasets.
• Conduct in-depth data exploration to identify trends, patterns, and insights relevant to the CPG industry.
• Develop and implement analytical models and methodologies to address business challenges.
• Collaborate with stakeholders to understand their needs and translate them into analytical requirements.
• Communicate findings and recommendations clearly and effectively through presentations and reports.
• Contribute to the development of data-driven solutions and strategies for CPG clients.
• Stay up-to-date with industry trends and emerging technologies in data analytics and the CPG sector.