Business Intelligence Analyst

Ampstek; Göteborgs kommun; On-site; SEK 520,000 - 720,000; Full time

Job summary

Ampstek in Sweden is seeking a Business Intelligence Analyst to provide data-driven insights that support business and quality goals. You will create and maintain dashboards, reports, and KPI tracking solutions.

You will analyze large datasets to identify trends, risks, and improvement opportunities, work with stakeholders to understand business needs, and present insights to both technical and business teams.

Qualifications

• Create and maintain dashboards, reports, and KPI tracking solutions.
• Analyze large datasets to identify trends, risks, and improvement opportunities.
• Collaborate with stakeholders to understand business needs and provide analytical solutions.
• Support AI-driven analytics and automation initiatives.

Responsibilities

• Create and maintain dashboards, reports, and KPI tracking solutions.
• Analyze large datasets to identify trends, risks, and improvement opportunities.
• Work with stakeholders to understand business needs and provide analytical solutions.
• Present insights and recommendations to business and technical teams.

Skills

Dashboard creation

KPI tracking

Data analysis

Stakeholder collaboration

Quality analytics

Tools

Python

R

Cloud platforms

Job description

Business Intelligence Analyst to provide data-driven insights that

support business and quality goals.

Mandatory Skills :

• Create and maintain dashboards, reports, and KPI tracking solutions.
• Analyze large datasets to identify trends, risks, and improvement opportunities.
• Work with stakeholders to understand business needs and provide analytical solutions.
• Support AI-driven analytics and automation initiatives.
• Ensure data accuracy, consistency, and reliability across reports and
• Improve BI tools, reporting processes, and analytics frameworks.
• Present insights and recommendations to both technical and business teams.

Nice to have –

• Experience with AI-driven analytics or machine learning solutions.
• Knowledge of Python or R for data analysis.
• Familiarity with cloud-based data platforms and automation tools.
• Experience in Quality, Operations, or Software-focused environments.