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 products
- Developing and maintaining a dataset in which relevant data from various sources is merged parsed and transformed for analytics using a selected Data Science Platform
- Developing advanced analytics methods to identify product cost & profitability drivers
- Providing analysis reports presentations dashboards and analytical insights based on the data to Product Management Finance Sourcing Strategy R&D and other internal stakeholders
- Documenting 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 field
- Experience in SQL and database understanding
- Experience in handling and analyzing large sets of data
- Experience in data analytics & dashboarding tools such as Qlik Sense PowerBI Tableau or Alteryx
- Experience in MS Excel pivot tables & MS PowerPoint
- Experience or interest in learning complex product features structures and characteristics especially in elevator & escalator industry or similar
- Experience or interest in learning financial management reporting principles especially related to product costs & profitability
- Interest in working in a global multicultural & agile organization and teams
- Good analytical skills independent and cooperative approach to work
- Curious mind and ability to learn fast
- Good written and verbal communication & presentation skills in English
- Knowledge 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 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.
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