Data Quality Assurance Analyst

9NEXUS · India

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 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