Data Quality Expert

Company Description

For 20 years, Talan has advised major companies and administrations, supported them, and implemented their transformation and innovation projects. The Group places innovation at the heart of its development and operates in areas related to technological changes, such as Big Data, IoT, Blockchain and Artificial Intelligence.

Present on 21 countries Talan has been operating for 20 years, advising major companies in Finance, Insurance, Telecommunications, Services, Distribution, Public Sector. Our consultants are agile and pragmatic. We combine together consulting services, technological expertise and a capacity to deliver and deploy projects. 

We do everything possible to ensure that our employees can thrive and grow at Talan. As a result, we have received the “Great Place to Work” certification, which recognizes compagnies where it feels good to work.

Present in Geneva and Lausanne, Talan Switzerland now has nearly 150 employees. Initially focuse in the financial sector, Talan has developed in recent years in the watchmaking, insurance, media, energy and services sectors. 

Job Description

The Data Quality Specialist uses best practices and tools to analyze and measure data quality and develop action plans to ensure data reliability, completeness, and consistency. The Data Quality Specialist role will support the Data Governance team in driving governance policies across all R&D business functions and support compliance with required data standards.

Tasks:

• Data Quality Specialist will partner closely with data creators, data stewards, data consumers, and IT to ensure our data is usable, timely, robust, trustworthy, and compliant. This role looks at the end-to-end data flow and lifecycle, from generation/acquisition to exploitation and value, to establish global and local data quality dimensions, rules, and indicators. 
• Support regional data owners, data stewards and SME’s for data standardization, cleansing, and data migration activities
• Align Data Quality rules and policies to evolving data landscape and domains
• Leverage data quality best practices to design and maintain policies, methodologies, guidelines around data quality, data profiling, data cleansing, including KPI/metrics definitions
• Collaborate and support stakeholders responsible to implement relevant data quality rules and policies and ensure those rules and policies are implemented
• Evaluate, implement, and manage governance tool to track and manage data quality and compliance, support reconciliation and validation processes. 
• Collaborate with business users to identify attributes that require data quality and corresponding business rules. Profile data, analyze user requirements, and translate & apply business rules to data quality rules.

Qualifications

• Extensive experience applying data quality principles to deliver high-quality data assets
• Experience in data quality and management platforms, query and scripting languages
• Experience in identifying and resolving data quality issues
• Experience in performing root cause analysis on data quality issues.
• Experience with data integration and data profiling tools, automation of processes
• Up-to-date expertise in data analysis with a strong focus on data quality and governance concepts