Senior Data Analytics & Data Modelling Consultant (m/f) at ARHS

Luxembourg, , Luxembourg -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, Power BI, SAP Analytics Cloud, SAP Business Objects, Python, SQL, Data Quality Management, Data Analysis, KPI Definition, Stakeholder Management, Data Warehousing, ETL Processes, Agile Methodologies, Data Governance, Business Intelligence, English Fluency

Industry

IT Services and IT Consulting

Description

Company Description Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. Job Description 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. Data Quality Management 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 Data Analysis & Automation 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. Onsite at client site: This role requires an onsite presence with our clients and partners to support project delivery and strengthen client relationships. 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). BONUS POINTS IF YOU HAVE: Experience with data governance initiatives. Knowledge of data warehousing and ETL processes. Experience in large enterprise or institutional environments. Familiarity with Agile delivery methodologies. As part of our security and compliance procedures, candidates will be required to undergo a criminal background check prior to employment.

Responsibilities

Design and maintain robust data models and reporting solutions using Power BI and SAP tools. Manage data quality through root-cause analysis and automate data processing using Python and SQL.