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Open nowFirst seen 2 days ago

Senior Data Analyst

Aqilea69 open roles

Where
Malmö, Sweden
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Your applicationOpen nowSenior Data AnalystAqilea · Malmö, Sweden

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Share of postings closed within
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  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: first seen 2 days ago

The posting

Role: Senior Data Analyst Job Ref Id: JD-1312 Competence level: senior Start date: 2026-11-15 End date: 2027-08-31 Extension option: Yes Scope: 100% Location: Malmo Remote work: In-office Language: English Application deadline: 2026-11-06 Number of consultants: 1 Security clearance: No

About the assignment

We are looking for a Senior Data Analyst to our client in Malmö.

Responsibilities

  • The scope of the consultant services is to assist client in:
  • Strengthening end-to-end Business Insights delivery using Power BI and Microsoft Fabric.
  • Designing governed, reusable semantic models and consumption-ready analytical solutions.
  • Developing and optimizing complex DAX calculations, measures, and analytical models.
  • Building scalable data transformations and analytical processing solutions using SQL, Python, and PySpark.
  • Supporting reporting migration, CORE-related delivery, franchisee reporting, and self-service enablement.
  • Translating retail business requirements into meaningful KPIs, reporting solutions, and actionable insights.
  • Contributing to SSDP Gold-layer, certified semantic model, and governed-consumption standards.
  • Improving data quality, performance, documentation, and knowledge sharing across Business Insights and SSDP.
  • The main tasks in the assignment are as below:
  • Design, develop, and maintain Power BI reports, dashboards, semantic models, and analytical datasets.
  • Develop and optimize advanced DAX measures, calculated tables, and business calculations.
  • Translate business requirements into scalable analytical models, measures, reports, and actionable insights.
  • Design and implement dimensional data models, including star schemas, fact tables, dimensions, and relationships.
  • Develop data transformation and processing solutions using SQL, Python, and PySpark, particularly within Microsoft Fabric.
  • Use Microsoft Fabric capabilities, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, notebooks, and semantic models.
  • Build scalable and reusable analytical models aligned with governed data-product principles.
  • Analyze retail business data covering sales, transactions, products, customers, stores, markets, and franchisee performance.
  • Develop and maintain retail KPIs, including sales performance, transaction volumes, average transaction value, basket analysis, product performance, and comparable sales.
  • Improve report performance, usability, data quality, security, and maintainability.
  • Optimize Power BI semantic models, DAX queries, refresh performance, and Direct Lake or DirectQuery configurations.
  • Establish standardized reporting practices, reusable components, and common data-modeling standards.
  • Support legacy reporting migration, CORE-related reporting requirements, and historical data validation.
  • Support testing, validation, release preparation, stakeholder demonstrations, documentation, and onboarding.
  • Collaborate with SSDP to establish consumption-ready patterns, including Gold-layer standards, certified semantic models, and Direct Lake usage.
  • Support franchisee onboarding, governed self-service analytics, and report access management.
  • Work closely with business stakeholders to understand retail processes and ensure reporting solutions provide relevant business insights.
  • Share knowledge, coach colleagues, and establish reusable documentation to reduce single-person dependencies.

Requirements

Mandatory

  • Experience: Minimum six years of relevant experience in BI, analytics engineering, or data engineering.
  • Power BI: Extensive hands-on experience designing and developing enterprise Power BI solutions, including report design, workspace management, reusable and certified semantic models, and governed self-service analytics.
  • DAX: Advanced DAX skills, including complex business calculations, filter and row context, time intelligence, calculation groups, and performance optimization.
  • Data Modeling: Strong experience with dimensional modeling, star schemas, fact and dimension tables, relationships, cardinality, and semantic-model optimization.
  • Power Query: Experience with Power Query, M language, and data transformation.
  • Microsoft Fabric: Hands-on experience with Fabric Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, and notebooks, or strong Power BI and Azure data-platform experience with the ability to become productive in Fabric quickly.
  • SQL: Strong SQL proficiency for analytical queries, data transformation, troubleshooting, and validation.
  • Python and PySpark: Practical experience developing data processing and transformation solutions using Python and PySpark, preferably within Microsoft Fabric or Databricks.
  • Data Architecture: Experience with Delta Lake, data lake architecture, Bronze/Silver/Gold data-layer patterns, and modern data platforms such as Databricks, Azure Data Lake, and Azure Data Factory.
  • Storage Modes: Understanding of Direct Lake, DirectQuery, and Import models, including their architectural and performance considerations.
  • Analytics Engineering: Experience building reusable, version-controlled, testable, and maintainable analytical assets, including Git integration, CI/CD, deployment pipelines, data-product principles, and data contracts.
  • Security and Governance: Experience with row-level security (RLS), object-level security (OLS), access control, and governed self-service analytics in Power BI and Fabric.
  • Performance and Quality: Proven experience with report and semantic-model performance optimization, data validation, and reliable analytical solution design.
  • BI Modernization: Experience with enterprise BI migration and reporting modernization.
  • Retail Business Knowledge: Good understanding of retail operations, sales and POS transactions, product and store hierarchies, markets, customer data, and reporting requirements.
  • Retail Analytics: Experience with retail transaction analysis, market basket analysis, sales trends, and KPIs such as net sales, gross sales, transaction count, average transaction value, basket size, product performance, and comparable sales.
  • Multi-Market Retail: Understanding of multi-market retail operations, franchisee reporting, and consistent KPI definitions across business entities.
  • Business Engagement: Ability to translate retail business requirements and terminology into reliable analytical measures and reporting solutions, and communicate effectively with business and technical stakeholders.
  • Collaboration: Experience working in agile, cross-functional teams, with strong documentation, communication, and knowledge-sharing skills.
  • Cross-Team Contribution: Ability and willingness to contribute across Business Insights and SSDP, with approximately 20–30% allocation to the secondary team as required.
  • Adaptability: Comfortable working in a platform-building environment where standards and processes are evolving.

Nice-to-have

  • Familiarity with customer loyalty, retention, segmentation, and customer behavior analytics is an advantage.
  • Relevant Microsoft certifications, such as PL-300 or DP-600, are an advantage.
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