About the Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/.
About Our Team
The Data Engineering organization partners across technical and business teams to deliver data products and platforms. The Business Analyst team supports demand intake, requirements definition, solution planning, governance, and reporting. This collaborative team values proactive problem solving, clear communication, curiosity, and the ability to learn complex data environments quickly.
About the Role
As a Technical Business Analyst II, you will serve as a bridge between business stakeholders and technical delivery teams. You will coordinate demand intake and triage, develop business and functional requirements, support solution planning, and help establish consistent governance and reporting across data engineering initiatives. You will work in a dynamic environment to improve clarity, prioritization, traceability, and speed of execution from intake through implementation.
This is a hybrid role based in Alpharetta, Georgia. The team currently works onsite on Wednesdays.
Responsibilities
- Partner with stakeholders to define business needs, expected outcomes, scope, assumptions, constraints, and success criteria.
- Lead or support demand intake and triage by gathering required information, identifying dependencies, documenting risks, and preparing requests for prioritization and decision-making.
- Elicit, analyze, document, and validate business, functional, data, and non-functional requirements.
- Translate complex stakeholder needs into clear user stories, use cases, process flows, acceptance criteria, and implementation-ready requirements.
- Work closely with data engineers, architects, developers, quality teams, operations, product owners, and project leaders to maintain shared understanding throughout delivery.
- Analyze current-state processes and data flows, identify gaps or inefficiencies, and recommend practical future-state improvements.
- Maintain requirements traceability and document decisions, action items, dependencies, issues, and changes throughout the initiative lifecycle.
- Facilitate working sessions, stakeholder reviews, backlog refinement, and cross-team discussions, and communicate outcomes and follow-up actions clearly.
- Support solution evaluation, communications, implementation planning, and post-deployment validation as needed.
- Develop concise status updates, dashboards, and decision materials that communicate progress, risks, priorities, and business value.
- Help establish repeatable organizational standards, templates, and governance practices for intake, analysis, prioritization, and reporting.
- Investigate reported issues, perform root-cause analysis with technical partners, and document recommended resolutions or process changes.
- Take ownership of defined problem statements, engage the appropriate teams, evaluate options, and bring forward practical solutions with limited day-to-day direction.
Requirements
- Bachelor's degree in information systems, computer science, data analytics, engineering, or a related field; equivalent relevant experience may be considered.
- 3-5 years of experience in business analysis, systems analysis, product delivery, data engineering support, or a related technical environment.
- Experience working with software or data delivery teams using Agile, Lean, Waterfall, or hybrid methodologies.
- Strong understanding of data concepts, including ETL, data warehousing, and data governance.
- Experience with cloud data platforms, primarily Microsoft Azure, with familiarity with AWS and Google Cloud Platform.
- Strong experience in change management.
- Strong requirements elicitation, process analysis, problem-solving, facilitation, analytical, and written communication skills.
- Ability to interpret data models, source-to-target mappings, interface specifications, workflow diagrams, and technical design documentation.
- Ability to communicate risks, decisions, dependencies, and outcomes to technical and non-technical audiences.
- Ability to organize multiple priorities, work independently, adapt quickly, and drive work to closure in a fast-moving environment.
- Proactive, engaged, and resourceful approach to solving problems with limited hand-holding.
Preferred Qualifications
- Familiarity with APIs, file-based data exchange, databases, Git, and CI/CD concepts.
- Proficiency with diagramming tools such as Microsoft Visio, Lucidchart, or BPMN notation.
- Knowledge of data privacy and compliance standards such as GDPR, HIPAA, or CCPA.
- Ability to understand data pipelines, batch processing, job scheduling, automation, system integrations, data quality controls, and operational recovery concepts.
- Working knowledge of SQL, including the ability to review or write queries for data validation, reconciliation, and analysis.
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- Bachelor's degree in information systems, computer science, data analytics, engineering, or a related field; equivalent relevant experience may be considered
- 3-5 years of experience in business analysis, systems analysis, product delivery, data engineering support, or a related technical environment
- Experience working with software or data delivery teams using Agile, Lean, Waterfall, or hybrid methodologies
- Strong understanding of ETL, data warehousing, and data governance
- Experience with cloud data platforms, primarily Microsoft Azure, with familiarity with AWS and Google Cloud Platform
- Strong experience in change management
- Strong requirements elicitation, process analysis, problem-solving, facilitation, analytical, and written communication skills
- Ability to interpret data models, source-to-target mappings, interface specifications, workflow diagrams, and technical design documentation
- Ability to communicate risks, decisions, dependencies, and outcomes to technical and non-technical audiences
- Ability to organize multiple priorities, work independently, adapt quickly, and drive work to closure
- Proactive, engaged, and resourceful approach to solving problems with limited direction
- Familiarity with APIs, file-based data exchange, databases, Git, and CI/CD concepts
- Proficiency with Microsoft Visio, Lucidchart, or BPMN notation
- Knowledge of GDPR, HIPAA, or CCPA data privacy and compliance standards
- Understanding of data pipelines, batch processing, job scheduling, automation, system integrations, data quality controls, and operational recovery concepts
- Working knowledge of SQL for data validation, reconciliation, and analysis
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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