Data Analytics Specialist - Insights That Power Decisions

Brighthire; Norway; On-site; NOK 419,000 - 523,000; Full time

Job summary

Brighthire is seeking a Data Analytics Specialist to analyze large data sets and drive business decisions. You will apply statistical methods, build visualizations, and prepare reports to inform strategic choices.

You will communicate complex insights to non-technical stakeholders, collaborate with cross-functional teams, and continuously enhance data processes. A strong background in statistics, data visualization, and SQL is required, with 2+ years of experience.

Qualifications

• Bachelor’s degree in statistics, mathematics, computer science, or related field.
• Minimum 2 years of data analysis experience required.
• Proficiency in R or Python for statistical analysis.
• Strong analytical skills to interpret complex data.
• Experience creating visualizations with Tableau or Power BI.
• Excellent communication to present findings to non-technical stakeholders.
• Ability to work both independently and in a team in fast-paced settings.

Responsibilities

• Gather, clean, and organize data from multiple sources.
• Analyze data and identify patterns with statistical tools.
• Create visualizations and dashboards to present findings.
• Develop reports summarizing key insights and recommendations.
• Explain complex analyses to non-technical stakeholders clearly.
• Collaborate with cross-functional teams to provide data-driven solutions.

Skills

Analytical thinking

Data visualization

Communication skills

Independent & collaborative

SQL knowledge

R and Python

Big data handling

Education

Bachelor's degree in Statistics/Math/CS

Master's degree in Data Analytics

Tools

Tableau

Power BI

SQL

Job description

Brighthire is seeking a Data Analytics Specialist to analyze large data sets and drive business decisions. You will apply statistical methods, build visualizations, and prepare reports to inform strategic choices.

You will communicate complex insights to non-technical stakeholders, collaborate with cross-functional teams, and continuously enhance data processes. A strong background in statistics, data visualization, and SQL is required, with 2+ years of experience.