
B2B • SaaS • Artificial Intelligence
Kaizen Analytix is a company focused on providing data-driven insights and analytics solutions to businesses across multiple industries. They specialize in translating complex data into actionable insights that help businesses boost revenues, cut costs, save time, and improve margins. Kaizen offers a range of services, including customer insights and marketing analytics, technology and innovation, operations and supply chain management, and finance transformation and analytics. Their platform leverages AI to deliver configurable business solutions, aiming for rapid delivery and continuous improvement for their clients. Kaizen Analytix serves a diverse array of industries, including automotive, consumer, energy, and industrials, among others.
November 4

B2B • SaaS • Artificial Intelligence
Kaizen Analytix is a company focused on providing data-driven insights and analytics solutions to businesses across multiple industries. They specialize in translating complex data into actionable insights that help businesses boost revenues, cut costs, save time, and improve margins. Kaizen offers a range of services, including customer insights and marketing analytics, technology and innovation, operations and supply chain management, and finance transformation and analytics. Their platform leverages AI to deliver configurable business solutions, aiming for rapid delivery and continuous improvement for their clients. Kaizen Analytix serves a diverse array of industries, including automotive, consumer, energy, and industrials, among others.
• Provide analytical support by leveraging data mining tools and analytical methodologies • Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI • Integrate internal and external data sources, be comfortable working with both structured and unstructured data • Assist in development, maintenance, and enhancement of statistical models in Python • Use statistical tools and techniques to extract and analyze trends from the customer database warehouse • Prepare and deliver presentations with complex analytical concepts • Comfortable presenting to the business and upper management
• PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 2-3 years of relevant professional experience • Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 4-5 years of relevant professional experience • Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics • Expert programmer in two or more of the following: Python, R, SAS, MATLAB, SQL • Excellent written, verbal, and presentation skills • Experience in multi-touch attribution modeling.
• Telecommute/Work from Home
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