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Omegapoint is a Northern European consulting company focused on cyber-secure digitalization. Its team of around 850 consultants works across Sweden, Norway, and Denmark on system development, information security, IT security, and management consulting. Omegapoint supports organizations in sectors including automotive, e-health, media, and banking, while fostering skills development and knowledge sharing. For job seekers, the company offers opportunities to contribute to technology projects where security, trusted systems, and continuous learning are central.
Mid-Senior Data Analyst at Omegapoint (Hybrid, Sweden)
Join Omegapoint as a Data Analyst consultant, using data, analytics, and AI to create business value for clients. The role combines business understanding, visualization, analytical methods, and modern data platforms.
Description
- Develop a deep understanding of business needs
- Identify patterns, trends, and opportunities for improvement in data
- Turn complex information into clear insights and recommendations
- Create reports, dashboards, and decision-making materials
- Ensure analyses are based on reliable, high-quality data
- Work closely with business teams, product teams, and technical specialists
- Perform exploratory analysis and solve problems with data
- Define KPIs, key metrics, and decision-making materials
- Work with data visualization and reporting
- Analyze customer behavior, business processes, and digital services
- Model data and verify its quality
- Conduct hypothesis-driven analysis and experimentation
- Work with analytics solutions on modern data and cloud platforms
- Use AI-supported analysis and modern analytics tools
- Collaborate with data engineers, data scientists, developers, and business representatives
- Contribute to long-term engagements with high standards for quality, security, and reliability
Requirements
- At least three years of experience as a Data Analyst or in a comparable analytical role
- Experience turning data into business insights and recommendations
- Strong SQL and Python skills
- Experience creating visualizations and reports with Power BI, Tableau, or similar tools
- Experience with modern data and analytics platforms such as Snowflake, BigQuery, Databricks, Airflow, Jupyter Notebooks, Azure ML, or SageMaker
- Understanding of data modeling, data quality, and data-driven ways of working
- Understanding of AI and modern analytics tools
- Ability to communicate insights and recommendations clearly
- Fluent spoken and written Swedish and English
- Experience with Azure, AWS, or Google Cloud is advantageous
- Experience with AI/ML tools, experiment-driven analysis, or product and customer analytics is advantageous
Benefits
- A community focused on continuous development and knowledge sharing
- Opportunities to lecture, earn certifications, and lead initiatives
- A culture supported by encouraging and inspiring colleagues
- Long-term client engagements with close support from colleagues
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