Data Governance Analyst

Please download a full job description to find a full scope, deliverables, experience and personal attributes required for this role.

Flexible and agile working

Everyone's personal situation is different.

• hybrid of office (Canary Wharf, London) and home working (there will be an expectation to attend the office, once - twice a week, or more, as required)
• reduce or vary working hours
• reduce or vary the days worked
• work compressed hours
• job share

We are looking for a Data Governance Analyst, in this role you will understand data warehousing, data governance, and data quality management principles. With the ability to collaborate across multidisciplinary teams, working to influence data governance practice and strong analytical skills with high attention to detail and accuracy.

Working knowledge of Agile methodologies and experience supporting product delivery and project management. Experience establishing processes for identifying, logging, and reporting data issues and risks. Strong documentation skills, including maintaining and reviewing policies and processes. You will show ability to support data governance and data quality initiatives, including KPI definition and monitoring.

• Minimum of 2 years of experience working in Data Governance (or equivalent)
• Minimum of 2 years of experience driving Data Quality initiatives (or equivalent)
• Minimum of 2 years of experience working in an Agile environment (or equivalent)
• Past experience of creating and owning Data Governance related documentation

Don't worry if you think you don't have all the key skills, it might be worth taking the few minutes to apply as we're good at spotting potential and offer a generous training budget., Disability Confident

A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people.

For more details please go to .

Nest is undergoing a transformation to use its data and insight to drive decision making. The Data, Analytics & Customer Insight (DACI) Team is leading how we do it: putting our customers at the heart of our work and helping colleagues to understand and use our data. Our work enables Nest to continually learn, improve how we work, and create value so that we can deliver a better retirement for millions.

Data - planning and delivering how we manage high quality data as an enterprise, making it easy for BI, analysis and modelling to happen and be automated

- Analytics - taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions.

- Customer insight - putting our customers at the heart, understanding their needs through empathy, research, surveys, and digital insight

- Business Intelligence - delivering data visualisations to make Nest's data intuitive to understand.

If you love data and insight, and you'd like to help us on this journey, come and join us.

Nest is an award-winning workplace pension scheme, the largest in the country.