Data Insights Analyst - Dashboards & Predictive Models

Woopel; Denmark; On-site; DKK 48,000 - 80,000; Full time

Job summary

Woopel seeks a Data Analytics Specialist to analyze complex datasets, turning findings into actionable business insights. You will work with cross-functional teams to define metrics, build data models, and create visualizations that inform strategic decisions.

Responsibilities include developing predictive models, producing dashboards with Tableau or Power BI, presenting results to senior management, and staying current with analytics best practices.

Qualifications

• Bachelors degree in Data Analytics, Computer Science or related field.
• Minimum 3 years of experience in a data analytics role.
• Proficiency in SQL, Python, R or similar.
• Strong understanding of statistics (regression, hypothesis testing).
• Experience with visualization tools like Tableau or Power BI.
• Excellent analytical and communication skills.

Responsibilities

• Utilize advanced analytical tools to extract and analyze large datasets.
• Develop predictive models and algorithms to identify patterns and trends.
• Collaborate with stakeholders to understand business needs and identify opportunities for data analytics.
• Create dashboards and reports to communicate findings and metrics.
• Present findings to senior management in a clear, actionable manner.
• Stay up-to-date on industry trends and emerging technologies in analytics.

Skills

SQL

Python

R

Data visualization

Statistical analysis

Education

Bachelor's degree in Data Analytics or related field

Tools

Tableau

Power BI

Excel

Job description

Woopel seeks a Data Analytics Specialist to analyze complex datasets, turning findings into actionable business insights. You will work with cross-functional teams to define metrics, build data models, and create visualizations that inform strategic decisions.

Responsibilities include developing predictive models, producing dashboards with Tableau or Power BI, presenting results to senior management, and staying current with analytics best practices.