Dear Students,
here is a job offer from a dynamic and innovative multinational company.
In case you are interested, send an email to rinaldi@math.unipd.it
Cheers,
Francesco Rinaldi
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DESCRIPTION
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The company is in the middle of its amazing digitalization journey and this gives the chance to work with the most modern and advanced technologies and methodologies.
We are looking for a highly motivated Business Insight Data Analyst to be included in the DACH Commercial Subsidiary, based in Cologne. S/he will support the design, implementation, deployment and monitoring our Data Analysis Strategy platform to enable the business to make better, more informed, and efficient commercial decisions. This is a key role in the Business Intelligence team and will work closely with HQ Dept.
Main resposibilities:
- Be responsible for the deployment of data strategy in the commercial subsidiary
- Convert signal coming from the data into action and new opportunities.
- Translate complex data into easy-to-understand information.
- Identify the most useful reporting KPIs to support the business operations and the execution of the commercial strategy, implementing also advanced analytical solutions
- Design and build reporting dashboards for different stakeholders (Country commercial Leader, operational teams);
- Prepare insight presentations and training materials for business stakeholders to facilitate analytics reporting tools adoption.
- Support local adoption of analytical solutions developed by central hub
- Work in synergy with Data&Analytics central hub to ensure data strategy consistency within the company
- Communication of digital tools and analytics solution to the business.
- Proactively use company knowledge to come up with ideas for analytical solutions.
- Adoption and use of project management agile applications (eg. Jira, Confluence)
- Evangelising the power of digital data and analytics.
- Promoting and supporting a data-driven culture.
Skills and knowledge:
- Bachelor’s degree required; Data analytics courses are preferable
- Analytical thinking, solution orientation and implementation strength
- Deep interest in analytics and technology
- Good knowledge of data science analysis applications (eg. R, Phyton, etc)
- Good knowledge and experience about data modelling and data visualization
- Team player and not afraid to jump on issues for quick resolutions
- Positive attitude and enthusiastic about expanding current skillsets
- Fluent in spoken and written English
- Project management and agile framework
- Effective communications skills
- Proactive attitude, pragmatic approach
- Curiosity Curiosity, creativity, originality and initiative
- Active learning and learning strategies
- Complex problem-solving