05 Sep
|
9NEXUS
|
Varanasi
Experience developing and supporting the creation of data quality dashboards in
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 rapid-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
📌 Data Quality Assurance Analyst (Varanasi)
🏢 9NEXUS
📍 Varanasi