The posting
🚀 We’re Hiring: Senior Data Analyst – Data Engineering, Analytics & Power BI Company: Hykmann Global Business Solutions AB Location: Gothenburg, Sweden – Lindholmen Science Park Work Arrangement: Hybrid – approximately 50% office presence Seniority Level: Senior Domain: Data Analytics, Business Intelligence & Connected Services Type: IT Consulting Assignment Are you an experienced Data Analyst passionate about transforming complex datasets into actionable business insights? Do you enjoy working with large-scale data platforms, building data pipelines, and developing professional dashboards that support strategic business decisions? Hykmann Global Business Solutions AB is looking for a Senior Data Analyst to contribute to advanced data and analytics initiatives within a global digital services environment. About the Role You will work as part of a multidisciplinary Data & Analytics team, collaborating with Data Scientists, Machine Learning Engineers, Platform Engineers, and Data Engineers to accelerate data-driven business development. The role covers the complete analytics journey – from understanding business requirements and identifying opportunities to data extraction, transformation, modelling, visualisation, and enabling users to make better decisions. You will support multiple business domains by developing analytical solutions, robust data pipelines, dashboards, and data models. The environment involves massive data volumes, including petabyte-scale datasets generated from more than 1.8 million connected assets worldwide. Key Responsibilities Business Analysis & Project Scoping Engage with business stakeholders to understand requirements, challenges, and analytical needs. Translate business requirements into clearly defined analytics projects and deliverables. Identify opportunities where data and analytics can create measurable business value. Break down business objectives into actionable tasks and development activities. Communicate technical possibilities, limitations, and recommended approaches to stakeholders.
Data Engineering & Pipeline Development Design, develop, and maintain robust and high-performance data transformation pipelines. Work with modern data platforms to extract, process, transform, and integrate large datasets. Develop and maintain data models to support business intelligence and analytical solutions. Optimise data processing workflows for large-scale datasets. Contribute to reliable and scalable analytical data solutions. Collaborate with Data Engineers and Platform Engineers to improve data utilisation and operational efficiency.
Dashboard Development & Data Visualisation Design and develop intuitive, professional, and user-friendly dashboards and reports. Select appropriate visualisation tools based on business requirements and analytical objectives. Develop advanced dashboards using Power BI and other visualisation platforms. Help business users and superusers create and maintain their own dashboards. Translate complex data into clear insights and actionable recommendations. Educate and support users in effectively utilising analytical solutions.
Collaboration & Continuous Improvement Collaborate with Data Scientists, ML Engineers, Data Engineers, and other technical specialists. Support multiple business domains with analytical expertise and technical guidance. Identify opportunities to improve data utilisation and business processes. Contribute to the development of new data products and analytical capabilities. Continuously explore new technologies, tools, and approaches to improve analytics delivery.
Required Qualifications & Skills Proven experience as a Senior Data Analyst, Data Analyst, or in a related Data & Analytics role. Strong experience in business requirements gathering, project scoping, and stakeholder management. Practical experience developing data transformation pipelines and analytical solutions. Strong understanding of data extraction, transformation, modelling, and visualisation. Experience working with modern data platforms and large-scale datasets. Strong dashboard development and data visualisation capabilities. Ability to translate complex business requirements into technical and analytical solutions. Experience supporting business users and enabling self-service analytics. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaborate effectively with multidisciplinary teams.
Technology Stack & Preferred Experience Experience with the following technologies is highly valued: Databricks – Primary data platform. AWS Glue – Data integration and transformation. Amazon Athena – Data querying and analytics. Microsoft Fabric – Modern data and analytics platform. Power BI – Dashboard development and business intelligence.
Who Should Apply? We are looking for a creative, curious, and entrepreneurial Data Analyst who enjoys turning data into business value. You should be comfortable working across the entire analytics lifecycle, from identifying business needs and extracting data to developing pipelines, creating data models, and building impactful visualisations. The ideal candidate is: Communicative and confident when interacting with business stakeholders. Structured, organised, and self-driven. Curious and eager to explore new analytical approaches. Comfortable working with complex and large-scale datasets. Passionate about pushing technical boundaries and improving existing solutions. A collaborative team player who enjoys sharing knowledge and contributing to a positive working environment.
Working Arrangement Location: Lindholmen Science Park, Gothenburg, Sweden. Work Model: Hybrid, approximately 50% office presence. Expected Office Days: Tuesdays, Wednesdays, and every second Friday. Team Environment: Collaborative, cross-functional Data & Analytics team.
Please highlight the following in your application: Your experience in Data Analytics and Business Intelligence. Hands-on experience with Databricks, AWS Glue, Athena, and Microsoft Fabric. Experience developing data pipelines and data models. Your Power BI and dashboard development expertise. Experience handling large-scale datasets. Examples of business requirements translated into successful analytical solutions. Your availability and ability to follow the team's hybrid working schedule in Gothenburg.
