Data Analytics Specialist

RetailHub Sourcing; Alta; On-site; NOK 91,000 - 123,000; Full time

Benefits offered by this job

Relocation assistance

Accommodation provided

Job summary

RetailHub Sourcing is seeking a Data Analytics Specialist in Alta, Norway. You will analyze large datasets, present insights to stakeholders, and collaborate with cross-functional teams to build data-driven solutions. The role emphasizes SQL, Python/R, and BI tools to deliver dashboards and actionable metrics.

Relocation assistance and accommodation are available for the right candidate, with a focus on data quality, scalable analytics, and timely decision support for business needs.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics or related field.
• Minimum of 3 years of experience in data analytics or related field.
• Strong knowledge of statistical methods and data mining techniques.
• Proficient in SQL, Python or R programming languages.
• Experience with visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Analyze large datasets using statistical methods and data mining techniques.
• Identify patterns and trends in data to provide insights and recommendations.
• Collaborate with cross-functional teams to understand data needs and develop solutions.
• Develop dashboards, reports, and visualizations to present findings to stakeholders.
• Manage data collection, cleansing, and integration processes.
• Identify opportunities for process improvements through data analysis.

Skills

SQL

Python

R

Data analysis

Education

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

Tools

Tableau

Power BI

Hadoop

Spark

AWS/Azure

Job description

Data Analytics Specialist

Location: Alta, Norway.

We are hiring a skilled Data Analytics Specialist to join our team in Alta, Norway. As a Data Analytics Specialist, you will be responsible for analyzing large and complex datasets to identify patterns and trends, and provide valuable insights to drive business decisions. Your role will involve working with various stakeholders to understand their data needs and developing data-driven solutions.

We are looking for a talented and dedicated Data Analytics Specialist to join our team.

Responsibilities

• Analyze large datasets using statistical methods and data mining techniques
• Identify patterns and trends in data to provide insights and recommendations
• Collaborate with cross-functional teams to understand data needs and develop solutions
• Develop dashboards, reports, and visualizations to present findings to stakeholders
• Manage data collection, cleansing, and integration processes
• Identify opportunities for process improvements through data analysis
• Stay updated on industry trends and advancements in data analytics

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics or related field
• Minimum of 3 years of experience in data analytics or related field
• Strong knowledge of statistical methods and data mining techniques
• Proficient in SQL, Python or R programming languages
• Experience with visualization tools such as Tableau or Power BI
• Excellent problem-solving skills and attention to detail
• Ability to communicate complex findings in a clear and concise manner

Preferred Qualifications

• Experience working with big data technologies such as Hadoop or Spark
• Familiarity with machine learning algorithms and techniques
• Experience working with cloud-based databases such as AWS or Azure
• Knowledge of business intelligence tools such as SAP Business Objects or MicroStrategy

Salary

This position offers a competitive salary of $1000 per month.

Location

This position is based in Alta, Norway. Relocation assistance may be provided for the right candidate.

Accommodation

Accommodation can be provided for the duration of employment if needed.

Diversity

We are an equal opportunity employer and encourage applications from all qualified individuals regardless of gender, nationality, or any other diversity factor.