Data Analyst, Product Margin & Cost

In this position, you will be a part of a global analysis team that performs product volume, cost and margin big data analysis for global internal stakeholders. We are looking for an open-minded Data Analyst that likes to focus on concrete activities. The position is located in Chennai, India.

In This Position You Will Be

Responsible for product volume, cost & margin analysis for global elevator & escalator productsDeveloping and maintaining a dataset in which relevant data from various sources is merged, parsed and transformed for analytics using a selected Data Science PlatformDeveloping advanced analytics methods to identify product cost & profitability driversProviding analysis reports, presentations, dashboards and analytical insights based on the data to Product Management, Finance, Sourcing, Strategy, R&D and other internal stakeholdersDocumenting data sources, data transformations, data models, gaps in data etc. as requirement documentation and feedback to global data owners for future system implementations & development

We are looking for candidates with

BE / MTech engineering, computer science, physics, MSc statistics, MSc mathematics, or a related fieldExperience in SQL and database understandingExperience in handling and analyzing large sets of dataExperience in data analytics & dashboarding tools, such as Qlik Sense, PowerBI, Tableau or AlteryxExperience in MS Excel pivot tables & MS PowerPoint Experience or interest in learning complex product features, structures and characteristics, especially in elevator & escalator industry, or similarExperience or interest in learning financial management reporting principles, especially related to product costs & profitabilityInterest in working in a global, multicultural & agile organization and teamsGood analytical skills, independent and cooperative approach to workCurious mind and ability to learn fastGood written and verbal communication & presentation skills in EnglishKnowledge of data science, programming (C++/Python, R) and machine-learning platforms (e.g. TensorFlow) is considered as an advantage

At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.

Read more on www.kone.com/careers