Data Governance & Master Data Analyst

Nomad Foods Inc; Horsell; On-site; GBP 80,000 - 100,000; Full time

Job summary

A multinational food company is seeking a Data Governance Specialist to establish a data governance framework and ensure data quality across the organization. The ideal candidate should have experience in a data team, good communication skills, and proficiency in SAP. This role requires excellent stakeholder management and analytical problem-solving abilities, contributing to data-driven decision-making.

Qualifications

• Experience of working with data governance.
• Able to work as part of a small team from a remote location.
• Strong attention to detail.

Responsibilities

• Assisting in establishing a data governance framework.
• Monitoring Data Quality measures after implementation.
• Working with Data Owners in the management of data.

Skills

Experience of working in a data team

Good communication skills (written and verbal)

Strong numerical and analytical skills

Problem solving

Tools

SAP

Job description

Overview

It is an exciting time to join Nomad Foods. Due to the high growth of the business, Nomad Foods has a desire to become more data driven.

Reporting into the Data & Analytics Director, you will be working in a team that is setting up a new Data Governance service across Nomad Foods as we work on ensuring our data is secure, accurate, timely and consistent.

Stakeholder management is key with this role as it is vital to ensure that across Nomad Foods the data is being managed to a high level in as efficient way as possible. You will be liaising constantly with Data Stewards to assist them in their role as they create, manage, and delete master data.

This role will work closely with the Reporting & Data Engineering Team to ensure data quality requirements meets the needs of the Nomad business.

In order to deliver certain projects, this role is required to build effective relationships with 3rd parties / contractors so that the team can be augmented to ensure smooth delivery.

Responsibilities

• Working in the team to assist in establishing a data governance framework
• Supporting the team in the preparation of the Data Governance Board on a regular basis
• Monitoring & actioning Data Quality measures following the implementation of a Data Quality tool
• Working with Data Owners and Data Stewards in the management of data
• Implementing & monitoring data controls including exporting of data
• Playing an important role in the centralising & managing of Data Definitions
• Providing input in defining Data Policies & Standards including Data Storage, Retention Policy & Unstructured Data
• Supporting in the development & roll out of a Data Literacy programme
• Monitoring & ensuring compliance to policies
• Partnering business & 3rd parties on data security & compliance requirements

Qualifications

Essential

• Experience of working in a data team
• Experience of working with SAP
• Good presentation skills
• Good Stakeholder Management skills
• Good communication skills (written and verbal)
• Strong numerical and analytical skills
• Service delivery and improvement mind set
• Able to work as part of a small team from a remote location
• Proactive, works with a sense of urgency, creative about how issues can be resolved, able to think analytically
• Works collaboratively, constructively challenges, gets key stakeholders “on side”, delivers results through others
• Problem solving: able to get to the heart of problem and its resolution by asking the right questions and ensuring the right options are explored and followed through to completion
• Strong attention to detail

Desirable

• Working in a Data Governance team
• Knowledge of developing and rolling out a data literacy programme
• Experience of using a Data Quality tool
• Experience of working with third party delivery organisations
• Experience of working in an SAP environment in particular Master Data Management, Information Steward and Life Cycle Management
• FMCG / CPG experience
• Knowledge of data analysis tools
• Knowledge of data modelling