Senior Data Analytics & Data Modeling Consultant (m/f)
ARHS Group Part of Accenture
Belvaux
Vollzeit
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ARHS Group, part of Accenture, is looking for a Senior Data Analytics \& Data Modelling Consultant (m/f) to join one of our client teams onsite in Luxembourg within a European institutional environment.
THE WORK:
Data Modelling \& Reporting Foundations
- Design and maintain robust data models that support reporting and analytics solutions.
- Define and standardize KPIs, dimensions, hierarchies, and business rules across datasets.
- Ensure consistency between data structures, business definitions, and reported figures.
- Support and enhance reporting solutions built on Power BI, SAP Analytics Cloud (SAC), and SAP Business Objects.
- Continuously improve and automate data models and reporting processes.
- Identify, analyze, and resolve data quality issues through root\-cause analysis.
- Design and implement data quality controls and validation rules.
- Monitor data quality indicators and investigate anomalies.
- Collaborate with business and technical stakeholders to define and deploy new controls.
- Contribute to the evolution of data quality frameworks and governance practices
- Analyze complex datasets to identify trends, patterns, and performance drivers.
- Use Python and SQL for data transformation, validation, automation, and analysis.
- Perform exploratory analyses and provide actionable insights to stakeholders.
- Support data\-driven decision\-making through reliable and well\-structured analytics.
Our roles require in\-person time to encourage collaboration, learning, and relationship\-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
HERE’S WHAT YOU’LL NEED:
- Minimum 5 years of experience in Data Analytics, Business Intelligence, Data Management, Data Warehousing, or a related field.
- Strong expertise in data modelling for reporting and analytics.
- Advanced experience with Power BI, SAP Analytics Cloud (SAC), and/or SAP Business Objects.
- Proven experience implementing and maintaining data quality controls and validation frameworks.
- Strong Python skills for data processing, automation, and data quality logic.
- Advanced SQL skills.
- Ability to translate business requirements into robust analytical and reporting solutions.
- Strong analytical, communication, and stakeholder management skills.
- Experience working with both business and technical teams.
- Fluency in English (written and spoken).
- Experience with data governance initiatives.
- Knowledge of data warehousing and ETL processes.
- Experience in large enterprise or institutional environments.
- Familiarity with Agile delivery methodologies.
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