Master Data Analyst

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Colombo, LKA
Hybrid
Software • Industrial • Automation
The Role

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. 

 

Why us?

🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.

🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.

🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.

🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success.

💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.

📍 Hybrid – Colombo (5 days per month onsite)
📈 Department: Data Operations
👤 Reporting To: Team Lead, Master Data

About the Role

We're looking for a detail-oriented and analytical Master Data Analyst to join our growing Data Operations team.

In this role, you'll be responsible for maintaining the accuracy, consistency, and integrity of critical business data that supports regulatory compliance, customer operations, and business decision-making. Working closely with stakeholders across the organisation, you'll help ensure high-quality master data, improve governance standards, and support the adoption of modern data and AI-enabled solutions.

This is an excellent opportunity for someone looking to build a career in data management while gaining exposure to business-critical projects, modern technologies, and cross-functional collaboration.

What You'll Be Doing
  • Maintain and update master data across core business systems, ensuring accuracy, completeness, and consistency.

  • Perform data quality checks, validations, reconciliations, and cleansing activities.

  • Investigate and resolve data issues raised by business users in a timely manner.

  • Support regulatory and compliance requirements through well-governed data management practices.

  • Collaborate with business and technology teams to understand data requirements and ensure correct data setup.

  • Analyse data trends, anomalies, and quality issues to identify root causes and recommend solutions.

  • Support data migrations, system enhancements, and testing activities.

  • Contribute to the development of data standards, processes, documentation, and governance practices.

  • Assist with the adoption of AI-enabled tools and automation solutions to improve operational efficiency.

  • Help deliver reliable, high-quality data that supports both internal operations and customer-facing processes.

Skills & Competencies
  • Strong attention to detail and commitment to data accuracy.

  • Advanced Microsoft Excel and Microsoft Office skills.

  • Strong root cause analysis and problem-solving abilities.

  • Understanding of data quality principles, governance, and best practices.

  • Ability to analyse data issues and implement corrective actions.

  • Excellent communication and stakeholder management skills.

  • Customer-focused mindset with a proactive approach to problem solving.

  • Ability to work independently while collaborating effectively across teams.

Technology & Tools
Essential
  • Microsoft Excel / Microsoft Office

  • MS SQL Server

  • GitHub

  • Jira or a similar ticketing/work management system

Desirable
  • SSIS (SQL Server Integration Services)

  • Microsoft Azure

  • Data quality and master data management tools

  • AI-enabled or automation platforms

What We're Looking For
Essential
  • 2+ years of experience in a data-related role.

  • Experience working with master data, data quality, or data operations processes.

  • Advanced Excel skills and strong data analysis capability.

  • Working knowledge of MS SQL Server and basic SQL query writing.

  • Experience identifying, investigating, and resolving data quality issues.

  • Strong understanding of data governance and data quality practices.

  • Ability to work with multiple stakeholders across business and technology teams.

  • Experience using ticketing systems to manage work and data requests.

Desirable
  • Familiarity with SSIS and data integration processes.

  • Experience working within financial services, fintech, regtech, or technology environments.

  • Exposure to Microsoft Azure.

  • Experience with AI-enabled tools, automation technologies, or data quality platforms.

  • Relevant qualifications in Data Management, Information Technology, Business, or a related discipline.

Why Join CUBE?

As part of the Master Data team within Data Operations, you'll work on business-critical initiatives where data quality directly influences operational efficiency, customer experience, and strategic decision-making.

You'll gain exposure to multiple teams across the business, build a broad understanding of how data powers our organisation, and develop valuable skills in governance, analytics, automation, and modern data technologies.

Key Projects You'll Support
  • Data Dictionary Implementation

  • Master Data Management Tools & Portal

  • Customer Onboarding Initiatives

  • Business Integration & Transformation Projects

  • Data Quality & Governance Enhancements

What Success Looks Like
  • Accurate and timely delivery of master data updates.

  • Strong contribution to data quality and governance standards.

  • Effective collaboration with business, technology, and compliance teams.

  • Proactive identification and resolution of data issues.

  • Positive impact on customer experience, operational efficiency, and regulatory readiness.

  • Successful adoption of AI-enabled and automated data management processes.

If you're passionate about data quality, problem-solving, and making a real impact through accurate and reliable information, we'd love to hear from you.

Interested?

If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.​

CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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The Company
HQ: London
707 Employees
Year Founded: 2011

What We Do

CUBE is an established leader in Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM). We deliver next-generation solutions that keep customers ahead of every-changing regulatory demands, enable them to reduce the risk of regulatory breaches or the propensity to miss regulations. The CUBE RegPlatform product portfolio is powered by a purpose-built regulatory AI engine (RegBrain). They track, analyse, and monitor laws, rules, and regulations in every country and in every published language to create an always up-to-date regulatory view. With over 700 employees, a global footprint across six main hubs, we can support customer needs across all time zones and territories. CUBE has c.1000 customers in banking, insurance, asset and investment management, payments and associated industries.

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