Data Quality Analyst

SIX treibt die Transformation der Finanzmärkte voran.

Was uns unterscheidet, treibt uns voran: Zwischen lokalen Wurzeln und globaler Relevanz sind wir eine einzigartige Mischung aus Tradition und Zukunft, aus Fundament und Wachstum. Wir schätzen kluge Köpfe und inspirieren sie, mit ihren Ideen zu wachsen. Komm und gestalte die Zukunft der Finanzmärkte mit uns.

Warsaw | Up to 40% working from home possible | Referenz 8369

We are looking for a Data Quality Analyst to drive data quality, process transformation, and automation initiatives within Financial Information Data Operations. This role combines strong business knowledge of financial market data and pricing data with technical capabilities to identify data quality issues, improve operational processes, and implement scalable automation solutions.

The successful candidate will work closely with stakeholders across Switzerland, Europe, US and Asia, contributing directly to operational excellence, data quality improvements, and strategic transformation initiatives.

This is an excellent opportunity for someone who enjoys combining financial market expertise, technology, and process improvement to deliver measurable business impact and enhance the quality of financial information products.

What You Will Do

• Monitor, analyze, and improve the quality of market data and pricing data across multiple products and services.
• Investigate data quality issues, identify root causes, and implement sustainable corrective actions.
• Analyze existing business and data processes and identify opportunities for automation and optimization.
• Design and implement future-state solutions that improve efficiency, scalability, transparency, and data quality.
• Translate business requirements into practical technical solutions.
• Drive market data initiatives for exchange data, pricing data, real-time and batch data feeds, and associated operational processes.
• Establish controls, monitoring frameworks, and quality metrics to proactively identify and resolve data issues.
• Collaborate with cross-functional teams and stakeholders across multiple locations.
• Challenge existing processes and proactively identify opportunities for improvement.
• Support change management activities to ensure successful adoption of new solutions.
• Contribute to strategic initiatives aimed at modernizing and enhancing Data Operations capabilities.

What You Bring

• Strong business knowledge of financial market data and pricing data.
• Experience working with exchange data, market data feeds, and financial information services.
• Good understanding of real-time and batch market data distribution.
• Knowledge of trading schedules, exchange calendars, market segments, and trading venues.
• Understanding of pricing concepts, including different price types, valuation methodologies, and historical pricing data.
• Strong analytical skills with the ability to investigate complex data quality issues and identify root causes.
• Experience translating business requirements into operational and technical solutions.
• SQL and query-writing skills with the ability to analyze large datasets.
• Practical experience with Databricks. And basics in Python or other automation/programming languages.
• Experience in data quality management, process improvement, automation, or operational transformation initiatives.
• Excellent stakeholder management and communication skills.
• Self-driven mindset with the ability to work independently and drive initiatives forward.
• 3-5 years of relevant experience in market data operations, pricing data, financial information services, data quality management, or related fields.
• English (C1 level or higher). German is a plus.
• Confident and approachable when working with both technical and non-technical stakeholders.
• Global collaboration mindset and ability to work effectively across Switzerland, Europe, US and Asia.
• Proactive, self-motivated, curious and solution oriented.
• Comfortable challenging existing processes and proposing better alternatives.
• Able to balance independent work with strong collaboration across teams.

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