---
title: 'Data Quality Analyst at CUBE'
canonical: 'https://feeny.ai/job/data-quality-analyst-cube-pondicherry-g0y05bbpvywe'
type: 'job'
last_seen: '2026-09-09'
---

# Data Quality Analyst at CUBE

- **Company:** CUBE
- **Location:** Pondicherry, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/cube/a9b351ac-061b-4962-821f-92c99c8616f6

## Job description

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.

Purpose The Data Quality Analyst plays a critical role in ensuring the organisation maintains accurate, complete, and reliable data that underpins the core Cube product, its golden data source, regulatory compliance, reporting, analytics, automated decisioning, and operational efficiency. This role is responsible for identifying, investigating, and resolving data quality issues across key systems. This includes assessing data errors, determining root causes, implementing robust remediation actions, and applying controlled corrections to data and ingestion procedures in line with agreed governance standards, approval processes, and audit requirements. The Data Quality Analyst ensures that any data amendments are accurate, traceable, and completed in a controlled manner to protect the integrity of enterprise data.

Working closely with technology, product, and operational business teams, the Data Quality Analyst applies data governance standards, data quality rules, and analytical techniques to improve the accuracy, consistency, and usability of data. The role also supports the adoption of AI-enabled monitoring and anomaly detection tools to improve the speed and accuracy of data quality operations.

The data quality analyst will utilise analysis of existing ingestion processes and BAU processes to implement improvements that enhances the deliverables, removes routine manual work and reduces margin for error.

By improving the quality of data that underpins the Cube product and customer journeys, the Data Quality Analyst plays an essential part in enhancing customer experience, preventing downstream errors, and ensuring customers receive accurate, timely, and dependable services.

## Key Responsibilities

- Profile data, design and execute data quality rules, and monitor scorecards and dashboards to identify issues, trends, and areas requiring corrective action.
- Investigate data anomalies and root causes using Excel, MSSQ and SSIS, assessing the impact of data issues and determining appropriate remediation steps against the production golden data source and LIVE customer facing databases
- Apply controlled corrections to data where required, ensuring changes are accurate, authorised, traceable, and completed in line with agreed governance standards, approval processes, and audit requirements.
- Design and implement improvements to the existing data ingestion pipelines and post load validation to increase efficiency and reduce risk of pipeline failures.
- Support remediation activity through SSIS/ETL workflows, working with technology teams to ensure data fixes are implemented safely and consistently across relevant systems.
- Maintain documentation for data quality rules, thresholds, lineage, controlled correction procedures, remediation actions, and operating processes.
- Collaborate with business, technology, and compliance teams to align data quality activity, remediation approaches, and controlled data corrections with regulatory and operational needs.

## Skills & Competencies

- Strong analytical/problem-solving skills; attention to detail and data integrity.
- Proficiency in Excel (advanced formulas, pivot tables), advanced MSSQL including the use of DDL , DML and TCL commands within the constraints of the role with robust testing/QA of all production scripts and familiarity with SSIS/ETL flows.
- Develop Stored procedures to further detect and trigger automated correction of erroneous data within Production and Live SQL Servers.
- Understanding of data quality frameworks, data governance, and regulatory expectations.
- Clear communication, stakeholder collaboration, and a customer focused mindset.
- Openness to AI enabled tools to improve monitoring, triage, and remediation.

Required Experience & Qualifications

- Experience in data quality, data operations, or BI/MDM within data critical environments (financial services advantageous).
- Handson exposure to MS SQL Server, Excel, and familiarity with SSIS or similar ETL tools.
- Knowledge of data governance principles; experience with DQ tooling and/or data catalogues desirable.
- Relevant degree (data, IT, business, or related) or equivalent experience; certifications (e.g., DAMA/CDMP, Microsoft) a plus.

Performance Indicators

- Improvement in data quality scores (accuracy, completeness, consistency) and reduction in recurring defects.
- SLA adherence for issue triage and remediation; reduced backlog and rework.
- Positive stakeholder feedback on responsiveness and clarity; fewer escalations.
- Strong audit/compliance outcomes and UpToDate documentation.
- Demonstrated use of AI/automation to increase coverage, speed, or accuracy in DQ controls. 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.

## About CUBE

## Company Overview
- **One-liner**: CUBE provides Automated Regulatory Intelligence (ARI) solutions powered by a purpose-built AI engine (RegBrain), helping regulated firms across banking, insurance, and asset management stay compliant with ever-changing global regulations.
- **Entity Type**: Private (Private Equity backed; latest round led by Hg in March 2024)
- **Headquarters**: London, United Kingdom
- **Founded**: 2011
- **Founders**: Ben Richmond (CEO)

## Core Business
- **Primary industry**: RegTech (Regulatory Technology) – also classified as Technology, Information and Internet.
- **Target customers**: B2B – primarily Tier 1 & Tier 2 banks, insurers, asset/investment managers, payment firms; approximately 1,000 customers worldwide.
- **Mission / Purpose**: “To empower every regulated firm with the business intelligence to meet complex compliance challenges.”

## Products & Services
- **CUBE RegPlatform**: An end-to-end automated regulatory intelligence platform that captures, standardises, and contextualises regulatory data across financial crime, cybersecurity, privacy, tech risk, and more. Maps content onto customers’ compliance frameworks.
- **RegBrain**: Purpose-built AI engine (combining computer vision, generative AI, machine learning, and NLP) that tracks, analyses, and monitors laws, rules, and regulations in every country and published language, delivering always up-to-date regulatory views.
- **Regulatory Change Management (RCM)**: Services and tools to help clients manage regulatory updates and adapt their compliance posture.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric (Private)**: Total funding includes at least two major Private Equity rounds (led by Hg and Bregal Milestone). Reported annual revenue of GBP 2.7 million (likely an older or partial figure; reliable current revenue not publicly available).
- **Notable Investors / Partners**: Hg (lead in 2024 round), Bregal Milestone (lead in 2022 round). Also acquired Acin (2023) and The Hub.
- **Growth Signals**:
  - Global footprint across 6 main hubs, operating in 25 countries.
  - Employee count fluctuates between ~550 (LinkedIn) and ~700+ (company site), with 22 active job postings (as of mid-2025).
  - Recent acquisition of Acin and The Hub expanded capabilities and customer base.
  - Named market leader for regulatory intelligence; first deal with a Tier 1 US global bank in 2016 and deployed “the world’s biggest regulatory intelligence platform” at a major financial institution.

## Competitive Advantages
- **AI‐driven regulatory intelligence** – RegBrain automates the tracking, analysis, and monitoring of regulations across jurisdictions and languages, reducing manual effort and risk of missing changes.
- **Global coverage** – Covers regulations in every country and published language, a significant barrier for competitors.
- **End‑to‑end solution** – From data capture to compliance framework mapping, reducing the need for multiple vendors.
- **Expert‑validated insights** – Combines AI with human regulatory experts to ensure accuracy and context.

## Strategic Focus
- Expanding AI capabilities – further development of RegBrain, including agentic AI and generative AI features.
- Deepening content coverage and data quality across all regulated sectors.
- Growing the customer base beyond financial services into adjacent highly regulated industries.
- Strengthening global presence through strategic acquisitions (e.g., Acin, The Hub) and organic hiring.

## Why Work Here
- **Mission‑driven culture** – Emphasises “make it happen” mentality, giving employees autonomy to innovate and shape the company’s future.
- **Remote / Hybrid flexibility** – Many roles are listed as fully remote or hybrid (London hub). Global team across 19+ countries.
- **Development focus** – “Unlock endless opportunities for growth, collaboration and innovation”; internal mobility and skill‑building encouraged.
- **Diversity & Inclusion** – Actively collects DE&I data to improve hiring practices; values inclusive environment.
- **Engineering & AI‑heavy** – Large technical team (138 in Tech, 75 in Research, 51 in Product) working at the forefront of AI/ML applied to regulatory data.

## Sources
1. [cube.global – About Us](https://cube.global/about-us)
2. [cube.global – Careers page](https://cube.global/about-us/careers)
3. [careers.cube.global – main careers site](https://careers.cube.global/)
4. [LinkedIn – CUBE company profile](https://www.linkedin.com/company/cube-global)
5. [jobs.ashbyhq.com/CUBE](https://jobs.ashbyhq.com/CUBE)

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