Data Analytics Specialist: Insights & Modeling (Python/R)

BaseDynamics; Aalborg; On-site; DKK 79,000 - 94,000; Full time

Benefits offered by this job

Visa sponsorship available

Job summary

BaseDynamics is seeking a Data Analytics Specialist in Aalborg to analyze complex datasets and provide actionable insights. You will work with multiple departments to identify key metrics, develop data models, and create visualizations communicating findings to stakeholders.

The ideal candidate has a strong background in data analysis, statistical modeling, and programming in Python or R, with excellent communication and attention to detail.

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Statistics, or related field.
• Proven experience in data analysis or related role.
• Strong knowledge of statistical methods and tools.
• Proficiency in Python or R.
• Experience with databases (SQL) preferred.
• Excellent communication skills.
• Ability to work independently as well as collaboratively.
• Attention to detail and accuracy.

Responsibilities

• Analyze large datasets using statistical models and algorithms.
• Identify trends patterns and insights to improve business operations.
• Develop data models to forecast future trends.
• Create visualizations and reports to communicate findings.
• Collaborate with cross-functional teams to understand business needs.
• Utilize programming languages Python or R for data manipulation and analysis.
• Develop strategies for collecting organizing and interpreting data.
• Implement quality control procedures to ensure accuracy of data analysis.
• Stay updated on industry advancements in data analytics techniques.

Skills

Data analysis

Statistical methods

Python or R

SQL

Communication skills

Attention to detail

Education

Bachelor's degree in Data Analytics, CS or Statistics

Tools

SQL

Python

R

Job description

BaseDynamics is seeking a Data Analytics Specialist in Aalborg to analyze complex datasets and provide actionable insights. You will work with multiple departments to identify key metrics, develop data models, and create visualizations communicating findings to stakeholders.

The ideal candidate has a strong background in data analysis, statistical modeling, and programming in Python or R, with excellent communication and attention to detail.