Data Analytics Specialist
We are seeking a highly skilled and experienced Data Analytics Specialist to join our team in Odense. As a Data Analytics Specialist, you will be responsible for analyzing large sets of data to identify patterns, trends, and insights that will drive business decisions. Your expertise in data analysis and visualization will play a critical role in helping our company stay competitive and make informed decisions.
Responsibilities:
- Collect, clean, and organize large sets of data from various sources
- Use statistical methods and software to analyze data and identify patterns and trends
- Create visual representations of complex data sets using charts, graphs, and other tools
- Collaborate with cross-functional teams to understand business needs and provide actionable insights
- Develop predictive models to forecast future trends and outcomes
- Communicate findings and recommendations to stakeholders through reports and presentations
Requirements:
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics or related field
- Minimum of 3 years experience in a similar role
- Proficient in statistical analysis tools such as R, SAS or Python
- Experience with data visualization tools such as Tableau or Power BI
- Strong understanding of database management systems (SQL)
- Excellent problem-solving skills with the ability to think critically and strategically
- Strong communication skills with the ability to effectively convey complex information to non-technical stakeholders
- Attention to detail with the ability to work independently under tight deadlines
Preferred:
- Experience working with cloud-based platforms such as AWS or Azure
- Knowledge of machine learning techniques
- Familiarity with Agile methodologies
- Ability to work well in a team environment
Salary: $1300/month (with accommodation provided)
Contract job: 6 months with potential for extension
Location: Odense, Denmark (open to candidates of any nationality)
All vacancies from "QuantumIT Solutions" ⟶
views: 93
valid through: 2026-05-15