Senior Data Analyst
Răspunde la anunțAutoliv is the world's largest automotive safety supplier, with sales to all major car manufacturers in the world. Close to 70, 000 associates in 25 countries are passionate about our vision of Saving More Lives.
Autoliv's primary goal is to Save More Lives. Our products never get a second chance. This is why we can never compromise on quality. We are working to increase vehicle safety by developing seatbelts, airbags and steering wheels and you can be part of our team as Senior Data Analyst.
In this role you will be focused on translating user requests into useful analyses and visualization in the Finance process domain. You will need working with the requestors to define the requirements, define the necessary data, design the analytics dashboard or report, and support the data sourcing decisions.
The data analyst clearly articulates the requirements from data platforms (ERP, data mart, data lake) and has working knowledge of these systems.
Should you be interested in overseeing these tasks and aiming for enhanced performance standards, your role will involve:
- Reporting to the COE and will be responsible for transforming raw data into information and insight that can be used to make business decisions through data cleansing, preparation, analysis, and visualization.
- Working directly with the requestors to understand the objectives and refine the requirements for the report or dashboard’s.
- Understanding the E2E process and source systems.
- Using Power BI to create reports and dashboards. Process mining visualization is also part of the job profile (incl. the use of Celonis)
- Using different source tools like Snowflake, Data Marts, Process Platforms (e. g. Blackline) and Excel are in scope of this position as well.
If you have/are:
- Master Degree in Data science
- Additional training in Finance and/or Business Administration is a plus
- Experience in data management & analytics.
- Experience with finance (OTC, S2P, R2R), business control or tax is highly recommended
- Fluent in English
- Ability to find and transform data from ERPs, data lakes and data marts.
- Knowledge of data transformation and visualization tools (e. g. Power BI, Celonis)
Strong data modelling and DAX skills - Experience with data transformation using power query.
- Strong SQL knowledge for data extraction and cleansing.
We will be more than glad to chat with you about your experience and your career goals.
In our international work setting, you will find a range of opportunities that are designed to enhance your career and personal development. Including new and different perspectives is part of what ensures the team’s success. We are committed to develop people’s skills, knowledge and creative potential. Our training and development programs emphasize technical competency, leadership development and business management skill.
More lives saved – more life lived!
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