Data Quality Monitoring Sr. Specialist .
As a Data Quality Monitoring Sr. Specialist your main responsibilities are:
The main responsibility of the role is to ensure that data is reliable at all
layers and for all markets. Mainly focusing on monitoring e2e data quality
through visualization reports and implementation of scripts for the automation
of daily monitoring.
Monitor and drive actions derived from Data Quality issues identified within
the new GCP platform or source systems providing data to new common GCP
platform.
Ensure data is trusted of high quality and is fit for business purpose from
multiple sources transforming this to a central data format for each country.
Replacing existing enterprise data warehouse with a central solution on Google
Cloud Platform.
Work with Business Analyst, Test Engineer and Product Owner in an Agile Squad
to establish accountability around the Completeness, Correctness and
Timeliness of data.
Build data quality framework which will define data quality requirements for
each local market measuring data on a regular scheduled basis producing and
monitoring data metrics.
Analyse and mine business data to identify correlations and discover patterns
from various data points. Map and trace the data from system to system for
solving a given business problem.
Create dashboards and reports to regularly communicate results and monitor key
metrics.
Requirements
Computer Science qualification or equivalent of University degree (or
equivalent working knowledge of data);
High-level of SQL required, Python desirable.
Background in data transformation projects from IT perspective, preferably
Cloud environments.
Must have good communication skills to communicate clearly and consistently,
including the mediation with all the stakeholders involved in the process.
Strong ability to drive and tackle the commitments within the determined
deadlines.
Experience as Business Data Analyst, with strong data analysis skills,
familiar with IT processes in an agile environment.
Well versed in data remediation and the complete SDLC. Data Quality domain
knowledge appreciated.
Comfortable with executive level comm and the ability to balance conflicting
needs.
Goal-oriented focus.
Able to lead with influence in a multi culture and multi layered matrix
organization.
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