Data Governance and Quality Analyst

RNLI; Christchurch; On-site; GBP 45,000 - 65,000; Full time

Job summary

The Royal National Lifeboat Institution (RNLI) is seeking a Data Governance and Quality Analyst to join our Data Governance team in the UK. You will help ensure data quality, compliance and readiness to underpin effective decision making.

You will produce reporting, dashboards and insights, collaborating with stakeholders to identify risks and drive improvements across data processes that support RNLI's lifesaving mission.

Qualifications

• Experience in data analysis and defining data quality rules.
• Ability to create visuals for data quality and statistics.
• Experience with Power BI and data governance concepts.

Responsibilities

• Produce reporting, forecasting and capacity planning insights.
• Assess, monitor and improve data quality, governance and compliance.
• Support data migration, readiness and transformation initiatives.
• Develop and maintain dashboards, reporting and process documentation.
• Collaborate with stakeholders to identify risks and drive improvements.
• Provide data governance expertise, supporting projects and organisational change.

Skills

Data analysis

Data quality rules

Attention to detail

Stakeholder collaboration

Tools

SQL/T-SQL

Power BI

Job description

About us

The Royal National Lifeboat Institution is a charity that provides a 24-hour lifeboat search and rescue service, seasonal lifeguards, and water safety education and initiatives. Our lifeboat crews and lifeguards need a dedicated, professional and talented team behind them, and that is where you come in. This is your chance to join that team and help save lives every day.

We are looking for a Data Governance and Quality Analyst to join our Data Governance team, who will ensure that data workflows at the RNLI are compliant with processes and requirements, and that quality levels are maintained while using expertise to support continuous improvement and data delivery that underpins effective decision making.

The RNLI is committed to improving the way that we manage our information and data. This role takes a proactive approach to maintain and deliver a clear and consistent understanding of our current state in relation to condition of our data and how it is managed. It is critical to shaping our data readiness for organisational change, in terms of data management processes, and ensuring capability to maintain and enhance quality through anticipation of and resolution of issues.

Your Role

In this role you will

• Produce reporting, forecasting and capacity planning insights.
• Assess, monitor and improve data quality, governance and compliance.
• Support data migration, readiness and transformation initiatives.
• Develop and maintain dashboards, reporting and process documentation.
• Collaborate with stakeholders to identify risks and drive improvements.
• Provide data governance expertise, supporting projects and organisational change.

About You

We are looking for someone who is up for the opportunity of taking an amazing institution from a low level of data quality management maturity to understanding the value that good data management unlocks. You will be an experienced user of data with a balance of sound technical data knowledge, great attention to detail and the desire to find and solve problems. You are probably looking for the chance to use your skills in an organisation where you can really make a difference, and you're looking for the satisfaction of knowing that your skills are contributing towards an amazing cause.

The successful candidate will also have experience of:

• Working in Data analysis, ideally including experience defining data quality rules and requirements.
• Creating visuals that represent data quality and statistics, and potentially you have developed business cases for change, ideally with experience of using Power BI.
• Working with data quality tools, and SQL / TSQL code, and an understanding of data structures / relational databases.
• You will have an understanding of the principles of data governance and the challenges to be met in an evolving data management landscape.