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- Tasks: Join our team as a Data Analyst to support data and analytics initiatives.
- Company: We're a forward-thinking company focused on enhancing data capabilities.
- Benefits: Enjoy remote/hybrid work options and a collaborative team culture.
- Why this job: Be part of a dynamic project, making a real impact with data solutions.
- Qualifications: 5+ years as a Data Analyst with Master Data experience required.
- Other info: Experience with Spark, SQL, and Agile methodologies is a plus.
The predicted salary is between 36000 - 60000 £ per year.
We are undergoing a rollout of our data and analytics capabilities and are looking for a Data Analyst with Master Data experience to join a team to support the initiative. You will have the knowledge and experience to gather and define requirements/stories, perform analysis and profile/query data, solutionise, define stories, tasks & actions, and juggle multiple priorities for a new Master Data platform. Be a critical part of the Project team with a focus on collaboration and team success. The job is varied and a Can Do attitude is a MUST.
Here are some of the things you can expect:
- Data Analysis
Ability to investigate, document, become an expert and collaborate on and around:
- Processes
- Systems
- Ways of working
- Master Data
Examples of the type of activities needed are:
- Data comparisons, logic for matching, deduping, cleansing, defining new mapping rules, and much more.
Define problems, analyze options and resolutions, and provide recommendations for solutions. Work with stakeholders to identify objectives, opportunities, and potential benefits available. Develop a strong understanding of products, processes, and solutions focusing on business outcomes. Write Functional Requirements / Stories to support the Data Enterprise Team in providing technical solutions to business problems. Conduct detailed analysis on new data sources to produce field mapping and data type assessments. Support estimation and planning of work to convert the requirements into User Stories.
Master Data
Experience in Master Data systems (Informatica P360 Preferred), with an understanding of why and how they are different and what needs to be done to make them succeed. Document, define, establish controls, ensure quality and appropriate structure and process for all data in your tasks. Assist the Power BI team and Data Engineers preparing reports for management, stating trends, patterns, and predictions using relevant data. Support and coordinate all activities including testing, user adoption, training, and communication.
Must Have Knowledge and Experience:
- A minimum of 5 years of experience as a Data Analyst.
- Hands-on technical capability to analyze, interrogate, explore, and document datasets in a Spark & SQL-based environment.
- Proven ability to work with stakeholders to:
- Assess potential data use cases and needs
- Document data & definitions
- Define quality, security, and controls
Nice to Have:
- B2B supply chain experience
- MS Azure and Databricks technologies
- ERP Solutions and ERP Data
Data Analyst (MDM/Master Data) - Remote/Hybrid employer: Creo Recruitment
Contact Detail:
Creo Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (MDM/Master Data) - Remote/Hybrid
✨Tip Number 1
Familiarise yourself with Master Data Management (MDM) concepts and tools, especially Informatica P360. Understanding the nuances of MDM will help you demonstrate your expertise during discussions with our team.
✨Tip Number 2
Brush up on your SQL and Spark skills, as these are crucial for data analysis in this role. Being able to showcase your technical capabilities in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies. We value collaboration and adaptability, so sharing examples of how you've successfully worked in Agile environments will resonate well with us.
✨Tip Number 4
Think about specific instances where you've solved complex data problems or improved processes. Being able to articulate these experiences will highlight your problem-solving skills and attention to detail, which are essential for this role.
We think you need these skills to ace Data Analyst (MDM/Master Data) - Remote/Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst, particularly in Master Data systems. Include specific examples of your work with data analysis, problem-solving, and collaboration with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience, especially with Master Data systems and Agile methodologies, and how you can contribute to their data and analytics capabilities.
Showcase Technical Skills: Clearly outline your technical skills related to data analysis, such as proficiency in Spark, SQL, and any experience with tools like Power BI. Provide examples of how you've used these skills to solve problems or improve processes.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication, teamwork, and attention to detail. These are crucial for collaborating with stakeholders and ensuring successful project outcomes.
How to prepare for a job interview at Creo Recruitment
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis in detail. Highlight specific projects where you gathered requirements, performed data profiling, and provided actionable insights. Use examples that demonstrate your ability to work with Master Data systems and how you've contributed to successful outcomes.
✨Understand the Role of Master Data
Make sure you have a solid understanding of Master Data concepts and the importance of data quality. Be ready to explain how you have previously managed data cleansing, deduplication, and mapping rules. This will show your potential employer that you are knowledgeable and can hit the ground running.
✨Prepare for Stakeholder Engagement
Since the role involves working closely with stakeholders, think about how you can effectively communicate technical information to non-technical audiences. Prepare examples of how you've successfully collaborated with different teams to identify objectives and deliver solutions that meet business needs.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical thinking and decision-making process, especially in relation to data issues. This will illustrate your capability to handle the complexities of the role.
