Data Insights Analyst — Bergen

SynerData; Bergen; On-site; NOK 109,000 - 147,000; Full time

Job summary

SynerData in Bergen is seeking a Data Analytics Specialist to perform data analysis on large datasets, identify trends, and create visual reports for stakeholders. You will collaborate with cross-functional teams to gather requirements and build data-driven solutions using SQL, Python, Tableau or Power BI.

The role emphasizes maintaining data quality, staying current with analytics best practices, and effectively communicating complex insights to non-technical stakeholders.

Qualifications

• Bachelor's degree in data-related field required.
• At least 2 years in data analytics role.
• Strong SQL, Python or other programming languages.
• Experience with Tableau or Power BI for visualization.
• Solid understanding of statistical concepts and techniques.
• Excellent problem-solving and attention to detail.
• Ability to explain complex findings to non-technical stakeholders.

Responsibilities

• Conducting data analysis on large datasets using statistical methods.
• Identifying patterns and trends in data to inform business decisions.
• Creating visualizations and reports to present findings to stakeholders.
• Collaborating with cross-functional teams to gather data requirements and develop solutions.
• Utilizing SQL, Python, and Tableau/Power BI for data analysis.
• Monitoring and maintaining data accuracy and integrity.
• Staying up-to-date with industry developments in data analytics and best practices.

Skills

Data analysis

SQL

Python

Data visualization

Statistical concepts

Problem solving

Communication

Education

Bachelor's degree in Data Science, Mathematics, Statistics, or related field

Tools

Tableau

Power BI

Job description

SynerData in Bergen is seeking a Data Analytics Specialist to perform data analysis on large datasets, identify trends, and create visual reports for stakeholders. You will collaborate with cross-functional teams to gather requirements and build data-driven solutions using SQL, Python, Tableau or Power BI.

The role emphasizes maintaining data quality, staying current with analytics best practices, and effectively communicating complex insights to non-technical stakeholders.