PTSI | Data Quality Analyst

Prudentials purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured for our people customers and partners. We provide a platform for our people to do their best work and make an impact to the business and we support our peoples career ambitions. We pledge to make Prudential a place where you can Connect Grow and Succeed.

Job Descriptions:

• Design develop and maintain data quality rules metrics and dashboards using various tools and technologies
• Identify analyze and resolve data quality issues and anomalies using data profiling data cleansing data matching and data governance techniques
• Collaborate with data engineers data analysts data scientists and business stakeholders to understand data requirements sources and flows
• Implement data quality best practices and standards across the data lifecycle
• Monitor and report on data quality performance and trends
• Conduct data quality audits and assessments and provide recommendations for improvement
• Providing guidance and support to business units on data governance and data quality best practices.
• Ensure compliance with legal and regulatory requirements related to data privacy security and retention.
• Promote/Communicate the concept of Critical Data Elements and create methodology for prioritizing CDEs
• Promote and operationalize data quality monitoring and rule management together with issue management.

Qualifications:

• 5-7 Years of experience working in Data Quality
• A bachelors degree or higher in computer science information systems statistics or a related field
• Experience in working with various data sources formats and platforms such as relational databases NoSQL databases data warehouses data lakes cloud services APIs etc.
• Proficiency in SQL and one or more programming languages such as Python R Java Scala etc.
• Knowledge of data quality frameworks methodologies and tools such as Data Quality Management (DQM) Data Quality Assessment (DQA) Data Quality Dimensions (DQD) etc.
• Familiarity with data quality tools and technologies such as Informatica Data Quality Talend Data Quality IBM InfoSphere QualityStage Microsoft Data Quality Services etc.
• Experience or familiarity with Informatica Data Quality tool is a big asset.
• Strong analytical problem-solving and communication skills
• Attention to detail and quality orientation

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex race age ethnic origin educational social and cultural background marital status pregnancy and maternity religion or belief disability or part-time / fixed-term work or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.