Remote Part-Time Data Analyst: Insights & Dashboards

SnapReach Media; Norway; Remote; NOK 91,000 - 124,000; Part time

Job summary

SnapReach Media is seeking a Data Analyst to remotely join our team on a part-time basis. You will collect, clean, and analyze data to generate actionable insights and support decision-making.

The ideal candidate has a math/statistics background, proficiency in Excel and SQL, and experience with Python or R. Strong communication and attention to detail are essential as you translate complex results into clear reports.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field preferred.
• Strong mathematical skills with the ability to work with complex formulas.
• Proficiency in Excel, SQL, or other database management tools.
• Experience using statistical software such as R or Python is a plus.
• Excellent communication skills with the ability to present complex information clearly.
• Attention to detail and ability to work independently.

Responsibilities

• Collect data from various sources and input it into databases.
• Clean, organize, and manipulate data to ensure accuracy.
• Use statistical methods to analyze data and identify trends or patterns.
• Create visualizations, reports, and presentations to communicate findings.
• Collaborate with team members to identify business needs and develop solutions.
• Continuously monitor data quality and make recommendations for improvement.
• Stay updated on industry trends and advancements in data analysis techniques.

Skills

Attention to detail

Independent worker

Excellent communication

Mathematics/Statistics

Education

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

Tools

Excel

SQL

R

Python

Job description

SnapReach Media is seeking a Data Analyst to remotely join our team on a part-time basis. You will collect, clean, and analyze data to generate actionable insights and support decision-making.

The ideal candidate has a math/statistics background, proficiency in Excel and SQL, and experience with Python or R. Strong communication and attention to detail are essential as you translate complex results into clear reports.