Remote Data Analytics Specialist (Part-Time)

VertexGlobal

Svalbard

On-site

NOK 223,000 - 391,000

Part time

11 days ago

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Job summary

VertexGlobal is seeking a Data Analytics Specialist to analyze large datasets, uncover trends, and deliver actionable insights to guide business decisions. You will collaborate with multiple departments to gather data, build reports, and present findings clearly to stakeholders.

The role involves creating visualizations, developing predictive models, and ensuring data quality while staying current with industry analytics practices.

Qualifications

  • Bachelor's or Master's degree in Data Analytics, CS, Statistics, or related field.
  • Proven experience in data analysis in a business setting.
  • Strong knowledge of statistical concepts including regression analysis and hypothesis testing.
  • Proficiency in SQL, Python, or R.
  • Experience with Tableau or Power BI.
  • Experience with machine learning techniques is a plus.
  • Excellent communication skills to present complex information clearly.

Responsibilities

  • Gather, clean and organize large datasets from various sources.
  • Use statistics to identify trends and patterns.
  • Create visualizations and reports to communicate insights.
  • Develop predictive models using machine learning algorithms.
  • Collaborate with cross-functional teams on data-driven solutions.
  • Monitor data quality and troubleshoot issues.
  • Stay updated on data analytics trends.

Skills

Data analysis
Communication
Machine learning

Education

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

Tools

SQL
Python
R
Tableau
Power BI

Job description

VertexGlobal is seeking a Data Analytics Specialist to analyze large datasets, uncover trends, and deliver actionable insights to guide business decisions. You will collaborate with multiple departments to gather data, build reports, and present findings clearly to stakeholders.

The role involves creating visualizations, developing predictive models, and ensuring data quality while staying current with industry analytics practices.

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