Job Description & How to Apply Below
Power BI, by extracting data from various Global systems in Snowflake and develop rules for
identifying DQ issues using Acceldata/Experian Aperture or something similar.
• Experience in Snowflake or similar for data lakes.
• Hands On Experience in Power Platform (Automate, Data Flows, Power App)
• Demonstrated experience & domain expertise within data management disciplines,
including the three pillars of data quality, data governance and data architecture.
• Advanced programming skills in T-SQL/Snowflake SQL to support data quality rule
creation.
• Advanced data profiling and Data analysis skills evidenced by use of at least one
data profiling analysis tool. For example Experian Aperture, Snowflake, Attacama or
Acceldata.
• Strong ETL automation and reconciliation experience.
• Up To Date on Using AI Agents using Copilot or something similar to leverage AI and
drive DQ automation
• Expert in extracting and manipulating and joining data in all its various formats.
• Excellent visualizing experience, using Power BI or similar for monitoring and
reporting data quality issues. Key aspect of the role is to create self-serve data quality
dashboards for the business to use for defect remediation and trending.
• Excellent written and verbal communication skills with the ability to influence others.
to achieve objectives.
• Strong desire to improve the quality of data and to identify the causes impacting good
data quality.
• Experience of Business and IT partnering for the implementation of Data Quality
KPIs and visualisations.
• Strong Team member management skills with a good attention to detail.
• Ability to work in fast-paced, dynamic environment and manage multiple streams of
work simultaneously.
• Experience of working in a global organisation, preferably within the pharmaceuticals
industry.
• Experience of working in global change projects.
• Extensive knowledge of data quality with the ability to develop and mature the data
quality operating model and framework.
• Knowledge of at least one standard data quality tool. For example, Acceldata,
Alteryx, Aperture, Trillium, Ataccama or SAS Viya
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