Data Analytics & Forecasting Specialist

BaseDynamics Inc.; Aalborg; On-site; DKK 81,000 - 98,000; Full time

Benefits offered by this job

Visa sponsorship available

Relocation assistance not provided

Job summary

BaseDynamics Inc. is seeking a Data Analytics Specialist to analyze complex data sets, build predictive models, and deliver actionable insights that influence business decisions across departments.

You will develop data pipelines, visualize results, create reports, and present findings clearly using Python or R, with a strong focus on accuracy, scalability, and effective communication.

The role requires a Bachelor’s degree and proven experience in data analysis, statistical methods, and SQL.

Qualifications

• Bachelor's degree or higher in a related field.
• Proven experience in data analysis or a similar role.
• Strong knowledge of statistical methods and tools; proficiency in Python or R.

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 effectively communicate findings.
• Collaborate with cross-functional teams to understand business needs.
• Utilize programming languages (Python, 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 modeling

Python

R

Communication

Team collaboration

Education

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

Tools

SQL

Job description

BaseDynamics Inc. is seeking a Data Analytics Specialist to analyze complex data sets, build predictive models, and deliver actionable insights that influence business decisions across departments.

You will develop data pipelines, visualize results, create reports, and present findings clearly using Python or R, with a strong focus on accuracy, scalability, and effective communication.

The role requires a Bachelor’s degree and proven experience in data analysis, statistical methods, and SQL.