Senior Data Analyst

January 30

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Apside

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Apside is an international digital services company that supports its clients in creating value and addressing strategic challenges with a strong focus on technology and societal performance. The company provides technological expertise particularly in cybersecurity, data and artificial intelligence (AI), and cloud services. Additionally, Apside offers cross-cutting solutions in digital learning and consulting, as well as specialized support for disabilities through Apsid’EA. With over 3,000 employees across 28 international agencies, Apside serves a diverse range of sectors including industry, banking, insurance, and public services. The company prides itself on its ability to integrate into and understand the specific needs of its clients' industries to ensure the success of their projects.

Fixed price offer • Information Systems, Technical and Scientific Computing and Automotive and Financial Engineering. • Time and material offer

1001 - 5000 employees

Founded 36 years

🤝 B2B

☁️ SaaS

🔒 Cybersecurity

📋 Description

• We are seeking a highly skilled Data Analyst with extensive experience in data quality analysis and data management. • Key Responsibilities: Collect, document, and analyze information management requirements. • Develop and execute data quality analysis plans, ensuring ongoing monitoring and resolution of data quality issues. • Identify discrepancies in data format, content, and values. • Create, review, and validate conceptual, logical, and physical data models. • Propose standards, rules, and guidelines for data analysis at the enterprise level. • Design and optimize data models, and derive conversion and migration methods for existing data. • Maintain an enterprise-wide view of data and collaborate with information governance analysts to ensure compliance with governance standards. • Communicate closely with management about deliverables, schedules, risks, and contingencies. • Create and deliver data quality analysis reports and weekly status updates for stakeholders. • Support the setup of data quality analysis frameworks.

🎯 Requirements

• Expertise in dimensional and relational data modeling. • Extensive experience with SQL programming and data quality tools. • Experience in Azure Data Platform technologies or other cloud offerings (e.g., Spark SQL, Python). • Strong proficiency in Power BI report development. • Excellent verbal and written communication skills, with a focus on critical thinking, time management, and priority planning. • Ability to interpret requirements and design documents, ensuring alignment with business needs. • Ability to write and maintain clear and concise documentation.