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    Senior Data Quality Assurance Analyst - Chennai, India - AstraZeneca

    AstraZeneca
    AstraZeneca Chennai, India

    6 hours ago

    astrazeneca background
    Full time
    Description

    Job Title - Senior Data Quality Assurance Analyst

    Career Level - D3

    Location: Chennai, India

    Department: Global Data Office, Operations

    SET Area/Function: Global Operations

    Reports to: Data Assurance Lead

    Number of Positions: 1

    In order to deliver our Operations Data vision which supports the successful delivery of the 2030 strategy, the Operations Global Data Office Team are recruiting a Data Quality Assurance Analyst. You will have experience in both data management and data quality, and have a proven track record working in a complex data environment.

    You will play a key role in supporting the Data Office by creating data quality dashboards, to ensure adherence to data standards and data governance policies. You will work closely with the data stewards and business owners developing code written in SQL for monitoring and measuring the quality of data. You will support the remediation and cleansing of data.

    What you'll do

  • Develop and support the creation of data quality dashboards in Power BI, by extracting data from various Global SAP systems into Snowflake and develop rules for identifying DQ issues using MS SQL Server Management Studio.
  • Writing and creating data quality rules using SQL and working extensively with the business to define requirements to support continuous data quality monitoring.
  • Provide extensive data analysis and profiling across a wide range of data objects.
  • Reconcile data against source to ensure results are trustworthy and reliable.
  • Strong focus on high levels of process automation ensuring data and results are kept up to date.
  • Supporting remediation work to correct data on our SAP systems.
  • Facilitate matching or linking multiple data sources together and create complex joins to provide data discovery and continuous DQ monitoring.

    • Essential requirements

  • Highly experienced in developing and supporting the creation of data quality dashboards in Power BI, by extracting data from various Global SAP systems into Snowflake and develop rules for identifying DQ issues using MS SQL Server Management Studio.
  • Advanced T-SQL skills to support Data Analysis, Data Profiling and Data Quality rule creation.
  • Demonstrated experience & subject matter expertise within data management disciplines, including the three pillars of data quality, data governance and data architecture.
  • Expert in extracting and manipulating data in various formats.
  • Experience in working in a complex SAP data environment.
  • Excellent written and verbal communication skills with the ability to influence others to achieve objectives.
  • Experience in Snowflake or similar for data lakes.
  • 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 Stakeholder management skills.
  • Excellent 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 and or Supply Chain.
  • Experience of working in global change projects.
  • Bachelor degree in computing, data or a related technology field, or equivalent number of years of experience.
  • Fluency in English.
  • "Candidates should be willing to work in UK time zone if required".

    • Desirable Skills

  • Using one of the following tools or similar. For example Power automate, Qliksense, DataIKU or Python.
  • Knowledge of at least one standard data quality tool. For example Alteryx, Aperture, Collibra, Trillium, Ataccama or SAS Viya.
  • Experience of any of the following for data cleansing – Winshuttle, Aperture or Celonis for data process mining.
  • Working within a lean environment and knowledge of data governance methodologies and standards.

    • Date Posted

    10-Apr-2024

    Closing Date

    10-May-2024
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