Data Analytics Specialist - Insights that Drive Decisions

Jing Hau; Aalborg; On-site; DKK 76,000 - 103,000; Full time

Job summary

Jing Hau in Aalborg is seeking a Data Analytics Specialist to join our team. The role focuses on analyzing large datasets, identifying patterns, and delivering actionable insights to support business decisions.

You will develop data models, create dashboards, and collaborate with cross-functional teams. Proficiency in SQL, R, Python, SAS and visualization tools is required; excellent communication to explain complex concepts to non-technical stakeholders is essential.

Qualifications

• Bachelor's or Master's in Data Science, Statistics, Mathematics, or a related field.
• Minimum of 2 years of experience in a similar role.
• Proficiency in SQL, R, Python, or SAS.
• Strong analytical skills with the ability to manipulate complex datasets.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent communication skills to explain technical concepts to non-technical stakeholders.

Responsibilities

• Utilize advanced analytical techniques to process and analyze large datasets.
• Develop and maintain data models and algorithms to support data-driven decision making.
• Identify patterns and trends in data and provide actionable insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and develop solutions.
• Design visualizations and dashboards to effectively communicate findings to non-technical audiences.
• Stay updated on industry trends and best practices in data analytics.

Skills

SQL

R

Python

SAS

Data analysis

Communication

Education

Bachelor's or Master's in Data Science/Statistics/Math

Tools

Tableau

Power BI

Job description

Jing Hau in Aalborg is seeking a Data Analytics Specialist to join our team. The role focuses on analyzing large datasets, identifying patterns, and delivering actionable insights to support business decisions.

You will develop data models, create dashboards, and collaborate with cross-functional teams. Proficiency in SQL, R, Python, SAS and visualization tools is required; excellent communication to explain complex concepts to non-technical stakeholders is essential.