Welcome to Digital Solutions SA!
Founded in 2016 and located in the heart of the Jura, in Porrentruy, Digital Solutions SA helps companies and institutions face digital challenges through the integration of new technologies.
As an IT integrator and service provider, we help our customers to innovate and develop their new digital products.
We’re already present in Porrentruy, Basel, Lausanne, Geneva, Martigny and soon in Fribourg, Bern, Zurich and Delémont.
Combining agility, innovation and performance, we provide a team of highly qualified engineers tailored to the specific needs of each of our customers and prospects.
We are working on three areas:
- Integration and innovation
- Software development
- Robotic Process Automation
SPECIFICATIONS: Data Analyst
- Occupancy rate: full-time
- Duration: indefinite, but maximum 3 years
- Desired start date: May 2, 2024
YOUR MISSIONS :
- Developing dashboards in Power BI
- Carry out statistical analyses, ensuring the consistency of indicators, and present results using dashboards or visual reports
- Identify and formalize information and analysis needs
- Describe required data collection and cleaning procedures
- Document statistical methods and specify management rules
- Managing missing or inconsistent data
- Specify automation requirements for extracting, integrating or updating data
- Maintain the data catalog and monitor the quality of information provided and the use of analyses in service
- Identify trends, patterns and anomalies in data
QUALIFICATIONS
- Ability to challenge needs and propose solutions for the business
- Autonomy, dynamism
- Ability to work under stress
- Ability to work in teams and share knowledge
- Be open to change
TRAININGS
- Degree (Bachelor’s or equivalent) in statistics, mathematics, computer science or similar field.
- Experience with semantic and presentation models is a plus
SKILLS
Core competencies
- Proficiency in Microsoft Power BI Desktop and Report Server
- Excellent knowledge of visualization tools and data presentation techniques
- Excellent knowledge of databases and data virtualization platforms
- Excellent knowledge of ITIL processes and the “business of an IT department”.
- Good knowledge of SQL data manipulation
- Good knowledge of basic statistical concepts (distributions, hypothesis testing, regression, etc.) and ability to identify trends, patterns and correlations in data.
- Good knowledge of test engineering
- Ability to specify requirements and develop technical concepts for data processing
- Ability to solve complex data analysis problems
Additional skills
- Ability to present analysis results clearly and comprehensibly
- Ability to identify significant trends and formulate recommendations
- Demonstrate autonomy and promote agility and quality in the production of analyses and dashboards
