Senior Data Analyst
Investigo
Salary: £40,000 - 70,000 per year
Requirements
- Strong experience across data governance and data quality
- Strong understanding of data governance frameworks, data quality principles, and industry best practices such as DAMA-DMBOK
- Experience working with modern data platforms including Snowflake
- Experience with data governance capabilities such as Horizon Catalog, Streamlit, Metric Functions, and Trust Centre would be highly advantageous
- Experience with Informatica Cloud Data Governance Catalog (CDGC), Cloud Data Quality (CDQ), dbt, and Master Data Management would be highly advantageous
- Excellent communication skills
- Strong analytical mindset
- Ability to translate complex data concepts into practical business outcomes
Responsibilities
- Support the development and implementation of data governance frameworks, standards, and processes across our global organisation
- Work with stakeholders to define critical data elements, ownership models, and data quality expectations
- Develop and maintain data quality rules, monitoring, reporting, and remediation processes to improve trust in business data
- Support the adoption and effective use of data governance tools, including data cataloguing, metadata management, and data quality platforms
- Partner with business teams to promote data ownership, stewardship, and a data-driven culture
- Provide guidance, training, and support to colleagues to improve understanding and use of trusted data
- Work with modern data platforms including Snowflake, supporting data governance capabilities
Technologies
- Cloud
- Informatica
- Support
- Snowflake
- dbt
More
We are a global organisation supporting the continued development of our data governance, data quality, and data platform capabilities. This is a permanent hybrid role based in Egham, with three days per week in the office and a salary of 55,000 to 65,000. We are driving our wider data transformation journey and looking for someone to help improve data standards, enable trusted reporting, and build scalable, trusted data capabilities.
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