Senior Data Governance Analyst

ROLE SUMMARY

Income Insurance is undergoing a strategic transformation across its business and technology landscape. As part of this ambitions journey, Income Insurance is looking at building its data capability across the organisation. This includes focus areas such as changing organisation culture around data, increasing the usage of data in decision making and enabling advanced concepts like ecosystem partnering, AI and ML based risk management and personalisation.

Over the years, Income Insurance has built a strong Data and Analytics team. We are now looking for passionate professionals who would like to be part of the team. They will work with experienced data scientists, data engineers, Business Intelligence experts as well as data stewards from business units across the company on data governance processes which will deliver value to Income’s business.

ABOUT THE ROLE

The Data and Analytics team is looking for Data Governance analysts with 3 to 5 years’ experience working in the field of Data Governance. They will be part of a team responsible for developing and implementing policies and procedures to ensure the accuracy, security, and integrity of Income’s data. They will work closely with stakeholders across the organization, including IT, legal, compliance, and business teams, to help establish data standards and controls.

KEY RESPONSIBILITIES:

1. Work with data stewards to ensure capture key business terms and definitions
2. Work with data stewards to define and implement data quality rules
3. Work with technical stewards to capture the logical data model as well as physical metadata
4. Work with data scientists to ensure statistical models built meet ethical AI and FEAT standards
5. Support business data partners and functional analysts in performing data analysis and root cause analysis
6. Monitor and report on data governance artefacts and data quality issues

REQUIREMENTS:

1. 3 to 5 years’ experience in data governance or data quality related roles
2. A bachelor’s degree in computer science, information technology or equivalent field
3. Proficient in SQL and in performing data analysis
4. Good communication skills, both written and verbal
5. Critical thinking and strong problem-solving ability
6. Experience with data analysis or data governance tools such as Informatica IDMC, Collibra desired
7. Experience with Data Warehouses such as Redshift/ BigQuery/ Snowflake/ Hive / S3 desired