Skills this job asks for
Power BIData engineeringMachine learningStakeholder management
Add your CV (free) to see which of these your CV is missing.
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
-
?
No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
-
?
The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
-
?
Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
🚀 We’re Hiring: Senior Data Analyst – Data Engineering, Analytics & Power BICompany: Hykmann Global Business Solutions ABLocation: Gothenburg, Sweden – Lindholmen Science ParkWork Arrangement: Hybrid – approximately 50% office presenceSeniority Level: SeniorDomain: Data Analytics, Business Intelligence & Connected ServicesType: IT Consulting AssignmentAre 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 RoleYou 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 ResponsibilitiesBusiness 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 stakeho
View original listing ↗