At a Glance
- Tasks: Define and document data standards while ensuring data quality across multiple systems.
- Company: Join Exclusive Networks, a global leader in cybersecurity solutions.
- Benefits: Competitive salary, diverse work culture, and opportunities for personal growth.
- Other info: Inclusive workplace committed to diversity and career development.
- Why this job: Be at the forefront of data management and make a real impact on business decisions.
- Qualifications: 5-8 years in data management with strong analytical skills and experience in SQL or BI tools.
The predicted salary is between 45000 - 55000 £ per year.
Exclusive Networks is the global cybersecurity go-to-market specialist that provides partners and end-customers with a wide range of services and product portfolios. With offices in over 45 countries and the ability to serve customers in over 170 countries, we combine deep local expertise with the scale and delivery of a single global organization.
Our best-in-class vendor portfolio is carefully curated with all leading industry players. Our services range from managed security to specialist technical accreditation and training and capitalize on rapidly evolving technologies and changing business models.
At Exclusive Networks, we are passionate about making a difference. That means delivering the best to our ecosystem, shaping a prosperous and trusted digital world, and helping our people to realize their full potential.
DUTIES AND RESPONSIBILITIES
EXN's customer and vendor data is currently fragmented across multiple ERPs (NetSuite, SAP, Jiwa, Sage), inconsistently structured in HubSpot, and not reliably linked across systems. The same partner can appear with different IDs, names, and structures depending on which system you look in — making campaign targeting unreliable, account-level decisions inaccurate, and operational processes manual.
The Master Data Analyst is the long-term solution. In the meantime, there is significant work to do: defining what the data should look like, documenting what exists, measuring the gap, and working with IT and the MDM team to prioritise and track resolution.
As Master Data Analyst is implemented there is a need to define how master data is structured, how authoritative sources are determined across systems, and how records are matched and merged to form a trusted golden record.
The Master Data Analyst sits at the intersection of business and IT. They translate what commercial teams need from the data into quality requirements the technical teams can act on — and translate the technical reality of what the data contains back to the business in terms they can use.
As the Master Data Analyst, you will:
- Define and document data standards, validation rules, and quality thresholds for the Customer/Partner and Vendor domains.
- Design and maintain a data quality scorecard for the Customer/Partner and Vendor domains, covering dimensions such as: completeness, accuracy, consistency, timeliness.
- Maintain a structured log of known data quality issues, categorised by domain, system, and business impact.
- Support HubSpot data cleanup planning: define what the target state for HubSpot company records should look like; establish quality criteria for the reimport; help sequence the cleanup.
- Operate the MDM stewardship workflows for the Customer/Partner and Vendor domains: review match proposals, approve or reject merge recommendations, manage exceptions.
- Contribute to the development of EXN's data governance operating model: RACI for data ownership, escalation paths, data steward responsibilities across domains, and the principles governing how master data decisions are made.
QUALIFICATIONS AND EXPERIENCE
The ideal Master Data Analyst:
- 5-8 years' experience in master data management, data quality, data governance.
- Understanding of master data management concepts, including golden record curation, match and merge and survivorship.
- Experience of working with multiple source systems and resolving data errors across them.
- Demonstrated ability to define data quality standards and metrics — not just identify problems, but structure and measure them.
- Strong analytical skills; be comfortable interrogating data in SQL, Excel, or BI tools to investigate quality issues.
- Experience producing data quality reports and domain documentation for non-technical business audiences.
- Understanding of CRM or ERP data structures: accounts, contacts, hierarchies, and relationships.
WHO ARE EXCLUSIVE NETWORKS?
We are people focused and strongly believe that talent empowers us to continue our dynasty of disruption and growth in the future. Our Mission is to drive the transition to a totally trusted digital world for all people and organizations.
We are proud to be an Equal Opportunity Employer. We are committed to the recruitment and hiring of individuals from diverse backgrounds and experiences, as we believe this strengthens our ability to develop superior solutions, make informed decisions, and better serve our valued customers. We do not discriminate against individuals on the basis of race, religion, color, national origin, gender, sexual orientation, disability status, or any similar characteristic. Employment decisions are made solely on the basis of qualifications, merit, and business need.
If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success.
Master Data Analyst employer: Exclusive Networks
Exclusive Networks is an exceptional employer that prioritises the growth and well-being of its employees, offering a vibrant work culture that fosters collaboration and innovation. With generous benefits such as 24 days of holiday, a matched pension scheme, and opportunities for professional development, employees are empowered to thrive in their roles while contributing to a mission of creating a trusted digital world. Located in a dynamic environment, Exclusive Networks not only values diversity but also actively promotes a supportive atmosphere where every team member can realise their full potential.
StudySmarter Expert Advice🤫
We think this is how you could land Master Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Exclusive Networks!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Master Data Analyst at Exclusive Networks.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Exclusive Networks.
✨Apply Directly through Our Website
When you find a suitable opening like Master Data Analyst at Exclusive Networks, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Master Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Exclusive Networks, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Exclusive Networks. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Exclusive Networks
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Exclusive Networks!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
