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Senior Analytics Engineer/Digital Insights Analyst

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Senior0Full-time

#479385·Dodano wczoraj·1

Źródło: Xebia

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Tech Stack / Keywords

Power BIDAXSQLMicrosoft FabricDatabricks SnowflakeMicrosoft CopilotPython RRow-Level Security (RLS)

Podsumowanie oferty

You will analyze digital sales, customer behavior, and online performance data to support business decisions and identify commercial improvement opportunities. You will own the semantic and analytical layer, developing enterprise semantic models and Power BI solutions using DAX and SQL.

Wymagania

Professional experience in BI Development, Analytics Engineering, or a similar technical analytics role.
Expert-level Power BI skills, including advanced DAX, data modelling, and performance optimization.
Strong experience designing and maintaining enterprise semantic models.
Advanced SQL skills and a solid understanding of data structures and dimensional modelling.
Experience with Microsoft Fabric.
Good understanding of BI architecture, deployment, governance, security, and scalable development practices.
Ability to translate business requirements and KPIs into reusable measures, hierarchies, and well-structured analytical models.
Understanding of how semantic models can support AI-driven analytics and natural-language interaction with data.
Ability to collaborate effectively with Data Engineers and business stakeholders.
Good command of English.

Nice to have:

Experience with Databricks.
Hands-on experience with Microsoft Copilot, AI-powered analytics, or conversational BI.
Experience with Snowflake.
Experience with Python or R.
Experience in e-commerce, digital sales, or web analytics.

Obowiązki

Design, build, and maintain enterprise-level semantic models and analytical layers.
Develop advanced Power BI solutions, including complex DAX measures, data models, and performance optimization.
Structure and transform data from multiple sources using advanced SQL.
Translate business requirements and KPIs into reusable measures, hierarchies, and scalable semantic models.
Ensure the performance, scalability, governance, and security of BI solutions, including deployment practices and Row-Level Security (RLS).
Collaborate with Data Engineers on the data foundation and take ownership of the semantic and analytical layer.
Develop reusable analytical models for traditional Power BI reports and AI-driven analytics.
Explore and enable new ways of consuming data through Microsoft Copilot, conversational analytics, natural-language queries, and AI-generated insights.
Continuously improve analytical solutions to make business data more accessible, reliable, and actionable.

Inne informacje

Work from the European Union region and a valid work permit are required.
Recruitment process: CV review, HR call, interview, client interview, and decision.

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