Website RELX

Looking to advance your career in data management and analytics within a global risk and technology enterprise? RELX is hiring a Senior Data Analyst I in Kanchipuram, Tamil Nadu, India, supporting its business division LexisNexis Risk Solutions.

This is an excellent opportunity for experienced data professionals with strong SQL, UNIX/Linux, XML, and Python expertise who thrive in data-intensive environments and enjoy solving complex business problems.

📍 Job Location

Kanchipuram, Tamil Nadu, India

💼 Experience Required

6+ Years in Data Management / Data Analytics

🎓 Qualification

Bachelor’s Degree (Engineering/Computer Science preferred) or equivalent experience

🏢 Employment Type

Full-Time

About the Business – LexisNexis Risk Solutions

LexisNexis Risk Solutions, part of RELX, is a global leader in risk analytics and decision support solutions. The business provides technology and data-driven solutions across:

  • Anti-Money Laundering (AML)

  • Counter Terrorist Financing (CTF)

  • Identity Authentication & Verification

  • Fraud Prevention

  • Credit Risk Mitigation

  • Customer Data Management

By leveraging advanced analytics and large-scale datasets, LexisNexis Risk Solutions helps organisations mitigate risk, improve compliance, and drive operational efficiency.

Role Overview – Senior Data Analyst I

The Senior Data Analyst I will perform advanced data management and analysis tasks within a specific functional or data domain. This position requires strong analytical skills, deep data format expertise, and continuous communication with internal stakeholders and external data sources.

You will operate as a subject matter expert (SME) in handling diverse data types, executing complex queries, evaluating datasets, and ensuring high-quality data onboarding and production support.

This role involves working within collaborative, cross-functional squads consisting of Business Analysts, Developers, Quality Engineers, and Squad Leads, ensuring faster delivery and shared accountability.

Key Responsibilities

🔹 Data Analysis & Research Support

  • Modify and execute pre-designed SQL queries for research and evaluation.

  • Independently generate coverage statistics, field population metrics, and profiling results.

  • Produce ad hoc data counts, statistics, and analytical outputs as required.

🔹 Data Profiling & Evaluation

  • Run comprehensive data profiles.

  • Evaluate new data sources for onboarding into production systems.

  • Define quality thresholds and mapping documentation.

  • Support business and engineering teams with data subject matter expertise.

🔹 Data Documentation & Governance

  • Create data documentation, including mappings and metadata.

  • Investigate, track, and report data issues.

  • Ensure corrections and clarifications are completed within defined timelines.

  • Maintain deep subject matter expertise within assigned data domains.

🔹 Multi-Format Data Management

  • Handle various data formats, including:

    • XML

    • Flat files

    • Delimited files (CSV)

    • Fixed-width files

    • Excel spreadsheets

  • Utilize data workflow management tools to ensure accuracy and efficiency.

🔹 Cross-Functional Collaboration

  • Provide technical problem-solving support to non-technical teams (e.g., customer service, advocacy teams).

  • Communicate effectively with data sources and stakeholders.

  • Assist in resolving data issues and guiding data providers toward solutions.

Required Technical Skills

  • 6+ years of experience in data management and analytics.

  • Subject Matter Expertise in:

    • SQL

    • UNIX / Linux

    • XML

    • HPCC

    • Python

  • Strong knowledge of data types and file structures.

  • Experience with data analysis tools and processes.

  • Excellent research and analytical skills.

  • Strong proofreading skills to connect data points and identify insights.

  • Ability to learn new technologies and tools quickly.

  • Strong problem-solving ability and attention to detail.

Desired Competencies

  • Strong communication and interpersonal skills.

  • Ability to handle multiple data sources and formats simultaneously.

  • Capability to work independently and within agile teams.

  • Organisational skills with consistent follow-through.

  • High ownership and accountability for data quality.

Why Join RELX & LexisNexis Risk Solutions?

🌍 Global Impact

Work on solutions that help organisations manage financial crime, fraud, compliance, and identity risk worldwide.

🤝 Collaborative Team Environment

Operate within agile squads promoting shared responsibility and efficient delivery.

📊 Data-Driven Innovation

Engage with large-scale, real-world datasets across global markets.

🎯 Career Growth

Gain exposure to advanced data governance, onboarding processes, and analytics operations within a leading risk analytics organisation.

Career Path Opportunities

This role offers growth potential in:

  • Data Engineering

  • Risk Analytics

  • Fraud Analytics

  • AML & Compliance Data Solutions

  • Data Governance & Quality Management

  • Advanced Analytics & Decision Intelligence

How to Apply

If you are a seasoned data professional passionate about managing complex datasets and driving business insights, apply now for the Senior Data Analyst I role at RELX.

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