Junior Analytics Consultant | Data Science & Operations Research
Descrição do trabalho
Analytics by Kaizen
We at Analytics by Kaizen solve complex efficiency and decision-making problems with advanced analytics and digital solutions, that deliver high performance and transform businesses.
The combination of technological and analytical solutions with the KAIZEN™ methodology and philosophy, promotes a breakthrough approach, capable of responding to the infinite possibilities for continuous improvement.
We leverage KAIZEN™ knowledge and methodology by harnessing the power of Analytics, providing a journey of endless possibilities for continuous improvement, fully framed in a digital and data-driven era.
Responsibilities
Using mathematical modeling, statistical analysis, and mathematical optimization you will play an important role in the development of efficient solutions to address decision-making problems.
- As a Junior Analytics Consultant you will be responsible for:
- Solve business problems by leveraging data and analytics
- Analyze large amounts of data and be able to identify patterns, trends and other data behaviors
- Perform ad-hoc analysis to support business needs
- Identify opportunities and deliver optimized solutions that meet defined goals and requirements
- Develop and implement mathematical models and algorithms to address complex business challenges, such as resource allocation, scheduling, supply chain optimization, and more.
- Design, implement, and test optimization algorithms using software tools and programming languages like Python or specialized optimization software.
- Engage with clients to design tailored analytical solutions, working closely with multidisciplinary teams and supporting implementation to ensure close follow-up and effective value delivery
- You May Have
- Bachelor’s or MSc. in a numerate subject is preferred e.g. Mathematics, Computer Science, Data Science, Operations Research
- Experience in advanced data analysis, visualization and algorithm development
- Experience in mathematical optimization algorithms and metaheuristics is a plus
- Strong mathematical and analytical skills, with a deep understanding of optimization theory and techniques.
- Proficiency in programming languages such as Python, R, or C++.
- Experience with optimization software packages (e.g., Gurobi, CPLEX, MOSEK) is a plus.
- Expertise in mining large & complex data sets - both structured and unstructured data and including (but not limited to) efficient extraction of data, transformation and application
- Culture of analytical ‘curiosity’ through innovative, data driven insights on business questions
- Solve business problems by leveraging data and analytics
What We Offer
- Competitive salary;
- Involvement in attractive and motivating projects;
- Integration in an agile, young and dynamic team;
- Informal environment;
- Career development