SGS is the world's leading inspection, verification, testing and certification company. We are recognised as the global benchmark for quality and integrity. With more than 96,000 employees, we operate a network of more than 2,700 offices and laboratories around the world.
Job DescriptionWorking as part of the Customer Experience Program IT team, you will play a key role in enabling data-driven decision-making across SGS. You will lead the design and delivery of business intelligence solutions that provide actionable insights to business stakeholders and support strategic initiatives across our digital landscape.
As a Senior Developer, you will act as a bridge between business and IT, translating complex data into meaningful insights. You will be responsible for designing scalable data models and reporting solutions, ensuring alignment with business priorities, data governance standards, and enterprise architecture.
You will collaborate closely with data engineering and integration teams who manage data ingestion and pipelines, ensuring that high-quality, reliable data is available for analytics and reporting.
More specifically, you will:
Solution Design & Delivery
- Lead the design and development of dashboards, reports, and KPIs using BI tools (e.g., Power BI)
- Define and implement scalable data models and semantic layers to support business reporting needs
- Translate business requirements into analytical solutions that drive decision-making
- Ensure usability, performance, and scalability of BI solutions
Business Engagement & Analytics
- Partner with business stakeholders to understand reporting needs and analytical use cases
- Provide insights and recommendations based on data analysis and trends
- Support strategic initiatives by delivering high-quality analytics and performance measurement frameworks
- Act as a trusted advisor to business stakeholders on BI and data usage
Data Governance & Quality
- Ensure consistency, accuracy, and quality of data used across reporting solutions
- Apply and promote data governance principles, including standardized definitions and KPIs
- Validate data and support user acceptance testing for BI deliverables
Collaboration with Data & Integration Teams
- Work closely with Azure and data engineering teams to define data requirements and ensure data availability
- Consume curated datasets and ensure alignment between data models and business needs
- Contribute to the definition of data structures and transformations required for reporting (without owning ingestion pipelines)
Leadership & Knowledge Sharing
- Act as a BI subject matter expert within the organization
- Define and enforce BI standards, guidelines, and best practices across the organization
Provide training and documentation to business users and stakeholders
Qualifications- University degree in Computer Science, Data Analytics, or related field
- Minimum 7 years’ experience in business intelligence or data analytics roles
- Strong experience with BI tools (Power BI preferred)
- Proven experience designing data models, semantic layers, and enterprise reporting solutions
- Strong proficiency in SQL and data analysis techniques
- Solid understanding of data warehousing concepts and data lifecycle
- Experience working with enterprise data environments and large datasets
- Experience collaborating with data engineering teams on data preparation and availability
- Understanding of data governance frameworks, KPI definition, and reporting standardization
- Experience working in Agile environments (Scrum, Kanban)
Soft skills
- Strong analytical and problem-solving mindset
- Excellent communication skills with the ability to engage business and technical stakeholders
- Ability to translate complex data into clear business insights
- Ability to operate in a global, distributed environment
- Fluent in English (verbal and written)
Skills Required
- University degree in Computer Science, Data Analytics, or related field
- Minimum 7 years' experience in business intelligence or data analytics roles
- Strong experience with BI tools
- Power BI
- Proven experience designing data models, semantic layers, and enterprise reporting solutions
- Strong proficiency in SQL
- Solid understanding of data warehousing concepts and data lifecycle
- Experience working with enterprise data environments and large datasets
- Experience collaborating with data engineering teams on data preparation and availability
- Understanding of data governance frameworks, KPI definition, and reporting standardization
- Experience working in Agile environments (Scrum, Kanban)
- Fluent in English (verbal and written)
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to engage business and technical stakeholders
SGS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SGS and has not been reviewed or approved by SGS.
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Healthcare Strength — Core medical, dental, and vision coverage is part of the U.S. package and is generally viewed as adequate even if not standout. Company information also underscores healthcare coverage as a standard element of the offering.
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Retirement Support — A 401(k) is commonly included in the U.S., and group disclosures reference post‑employment benefit plans in select regions. These components provide a baseline of retirement security beyond core pay.
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Strong & Reliable Incentives — Annual incentive/bonus structures are part of the compensation mix and cited positively in some regions and roles. Punctual pay is also highlighted as a plus.
SGS Insights
What We Do
SGS is the world's leading Testing, Inspection, and Certification company, providing quality and safety control services.
