Role Purpose
Enable decision-ready insights by maximizing enterprise-data usability and accessibility — leveraging AI tools to accelerate data analysis, pattern detection, documentation, and insight generation while keeping human accountability for interpretation and business decisions.
Core Responsibilities
- Design and develop data pipelines and perform ETL/ELT jobs based on functional/non-functional business requirements
- Plan and implement data extraction, integration, and ingestion procedures to unify data from diverse sources and build analyst-ready datasets
- Collaborate with analysts and other business stakeholders to align on requirements, definitions, and ownership
- Translate business logic into structured, testable, and well-documented datasets used across teams
- Maintain structured technical documentation and artifacts to ensure consistency and reuse
- Drive process improvement and delivery optimization by enhancing data workflows and leveraging cost-effective technologies including API integration, automation, and AI
- Adhere to established data, AI usage, and governance standards
Profile
Bachelor’s degree in Business, Statistics, Mathematics, Finance, Data Science, Computer Science, Computer Engineering, or a related field.
- 1–3 years of experience on data management
- Strong analytical reasoning and problem-framing skills
- Ability to process, manage, and interpret complex data from multiple sources and communicate insights effectively
- Demonstrated comfort using AI/automation tools and languages applicable (SQL, Python/R)
- Curiosity and discipline in adopting AI-enabled ways of working responsibly
Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives
AI Expectations (Required)
Uses AI tools daily to accelerate execution, not to replace judgment. Follows defined AI usage and governance, with increasing independence as experience grows.
- Leverage AI to improve output (speed of delivery and quality)
- Embed AI usage in the entire Data Value Chain (Collection-Publication-Uptake-Impact) whenever possible
- Assist with data preparation, transformation, and consolidation
- Aid with coding/scripting/automation
- Draft documentation, reporting narratives, and presentation materials
- Evaluate AI output critically for accuracy, relevance, bias, and risks
- Use in line with governance and ethical principles
AI Capability Level
AI-Fluent User. Uses AI daily to accelerate data usability and accessibility for analysis and reporting purposes, while retaining responsibility for validation, accuracy, and execution. May or may not design AI workflows but applies AI effectively.
Success Measures
- Quality (clarity, reliability, and usefulness) of data assets that enable analysts to deliver actionable insights/recommendations to stakeholders
- Improved speed-to-insight and reduced manual effort and rework
- Demonstrated growth in analytical judgment and AI proficiency
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Skills Required
- Bachelor's degree in Business, Statistics, Mathematics, Finance, Data Science, Computer Science, Computer Engineering, or related field.
- 1-3 years of experience in data management.
- Design and develop data pipelines and perform ETL/ELT jobs.
- Proficiency in SQL.
- Proficiency in Python or R.
- Experience with data extraction, integration, ingestion, and API integration.
- Familiarity and demonstrated comfort using AI and automation tools daily.
- Strong analytical reasoning, problem-framing, and ability to communicate insights effectively to stakeholders.
- Ability to maintain structured technical documentation and translate business logic into testable datasets.
- Ability to quickly learn and apply enterprise AI tools and follow AI governance and ethical principles.
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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