Data Support Specialist - ERP Implementation

Morgan Advanced Materials; Rugby; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading advanced materials company is seeking a Data Support Specialist to aid in the implementation of Microsoft Dynamics 365 ERP. This role is critical for data accuracy and includes key responsibilities such as conducting data analysis, supporting data migration, and collaborating with cross-functional teams. A Bachelor's degree in a related field and strong Excel and analytical skills are required. The position is based in Rugby or Stourport, UK, and is a 12-month contract.

Qualifications

• Demonstrated experience in data analysis, ideally within ERP systems.
• Strong Excel skills for data manipulation and validation.
• Familiarity with Microsoft Dynamics 365 is desirable.

Responsibilities

• Conduct Master Data Analysis to identify data inconsistencies.
• Collaborate with SMEs to drive data transformation activities.
• Develop Data Quality Monitoring Tools to track progress.

Skills

Data Analysis Experience

Strong Excel skills

Power BI or SQL proficiency

Analytical & Communication Skills

Adaptability & Collaboration

Education

Bachelor’s degree in Data Science or related field

Tools

Microsoft Dynamics 365

Power BI

SQL

Job description

Overview

Job Title: Data Support Specialist – ERP Implementation

Location: Stourport or Rugby, UK, on‑site

Duration: 12 months contract

The role: Detail‑oriented and analytical Data Support Specialist to support the implementation of a Microsoft Dynamics 365 (D365) ERP system. This is a limited duration position for approximately 12 to 18 months, playing a critical role in ensuring the accuracy, consistency, and readiness of master data for the new ERP system. This role would additionally provide support to other roles within the organization as needed (Quality, Production Planning, Purchasing, Customer Service).

Key Responsibilities

• Conduct Master Data Analysis Review and assess existing system master data to identify gaps, inconsistencies, inaccuracies, and areas for improvement across key data domains.

• Collaborate with Site SMEs Work closely with Subject Matter Experts to drive data transformation activities, including data cleansing, enrichment, consolidation, and standardisation.

• Support Data Mapping for D365 ERP Assist in mapping legacy system data to the new D365 ERP structure, ensuring compliance with global and local data definitions, standards, and governance requirements.

• Develop Data Quality Monitoring Tools Create, maintain, and update data quality reports and dashboards to track progress, measure readiness, and flag anomalies requiring remediation.

• Support Data Migration Activities Prepare datasets for migration, validate data loads, perform reconciliation checks, and resolve data discrepancies during testing and cutover phases.

• Document Data Processes and Rules Produce clear and accurate documentation of data processes, transformation logic, mapping rules, validation criteria, and templates.

• Provide Data Analysis Support Deliver ad hoc data analyses and reports to support project decision‑making, readiness assessments, and troubleshooting activities.

• Provide Cross‑Functional Administrative Support Support Quality, Production Planning, Purchasing, and Customer Service teams with data entry, job scheduling, reporting, and other administrative or clerical tasks as required.

Requirements

Bachelor’s degree in Data Science, Engineering, Information Systems, Business Analytics, or a related discipline; equivalent professional experience will also be considered.

• Data Analysis Experience Demonstrated experience in data analysis, ideally within the context of ERP systems or large‑scale system implementations.

• Technical Proficiency Strong Excel skills (e.g., data manipulation, validation, lookups, pivot tables). Experience with Power BI, SQL, or similar analytical tools is advantageous.

• ERP Knowledge Familiarity with Microsoft Dynamics 365 or comparable ERP platforms is highly desirable.

• Analytical & Communication Skills Excellent analytical thinking, problem‑solving capabilities, and the ability to present insights clearly to both technical and non‑technical audiences.

• Adaptability & Collaboration Ability to work both independently and collaboratively in a fast‑paced, project‑driven environment, managing multiple priorities effectively.

Preferred Attributes

• Cross‑Functional Implementation Experience Prior involvement in system implementation projects, working with cross‑functional teams such as Finance, Supply Chain, Operations, or IT.

• High Attention to Detail Strong commitment to data accuracy, quality, and completeness, with a proactive approach to identifying and addressing issues.

• Comfort with Complex Data Ability to work confidently with large datasets, intricate data structures, and detailed mapping or transformation logic.

Morgan Advanced Materials is an EEO/AA/M/W/D/V Employer

Morgan Advanced Materials is business rich in history and innovation. Founded in the UK in 1856, we have grown into a global organisation with 70 sites in 18 countries. Our model to serve our customers where they need us has led to a diversified product range using our unparalleled expertise in ceramic and carbon materials, which we exploit to solve difficult problems for our customers across a diverse range of markets.

We are a purpose driven organisation. Our purpose is to use advanced materials to make the world more sustainable and to improve the quality of life. We deliver on that purpose through the products that we make, and the way that we make them.

The Technical Ceramics business of Morgan Advanced Materials engineers high performance functional and structural ceramic materials, components and sub‑assemblies to address customer‑specific technical challenges.

Key Figures: Revenue £1,100.7m (2024), ~8,000 employees, manufacturing in 20+ countries, and a global customer portfolio. A UK PLC with head office located in Windsor, Berkshire UK. Listed on London Stock Exchange; Member of the FTSE 250 Index.