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RELX

Senior BI Data Analyst

RELX

Senior BI Data Analyst at LexisNexis Risk Solutions performing advanced data analysis and developing dashboards. Collaborating with Operations Program Management on various initiatives.

Posted 5/1/2026full-timeAlpharetta • Florida, Ohio • 🇺🇸 United StatesSenior💰 $78,800 - $131,300 per yearWebsite

Tech Stack

Tools & technologies
ETLPythonSQLTableau

About the role

Key responsibilities & impact
  • Understand complex data structures and underlying relationships across multiple data sources.
  • Build and maintain SQL data models, views, and relationships to support reporting and analytics.
  • Identify opportunities to improve data sourcing, transformation, and delivery using internal tools and platforms.
  • Develop user‑friendly, scalable Power BI dashboards with clear storylines and drill‑down capabilities.
  • Create and manage automated reporting and data delivery routines based on agreed timelines and communication methods.
  • Build quick, stand‑alone analytical solutions and prototypes, and translate them into scalable BI assets aligned with BI strategy.
  • Improve raw data usability by partnering with reporting teams and tool owners.
  • Apply statistical and exploratory data analysis techniques to identify trends, anomalies, gaps, and opportunities.
  • Conduct root cause analysis on identified anomalies and collaborate with stakeholders to assign ownership and track resolution.
  • Independently review dashboards and data outputs, challenge inconsistencies, and recommend cost‑effective improvements.
  • Provide consultative analytics support to business stakeholders throughout the decision‑making process.
  • Ensure accuracy, integrity, and compliance of all reported data and technical solutions.
  • Test and validate dashboards and analytical solutions to ensure expected functionality.
  • Support data compliance initiatives and documentation efforts.
  • Create and maintain documentation for data infrastructure, dashboards, reports, and change logs.
  • Collaborate across Operations and other business teams to understand data needs and share best practices.
  • Support ad‑hoc analytics, reporting, and special projects as required.

Requirements

What you’ll need
  • 3-5 years relevant experience
  • Experience in data collection, cleansing, and transformation, including complex SQL queries and relational databases.
  • Hands‑on experience with exploratory data analysis to uncover trends, patterns, and outliers.
  • Advanced data visualization skills with Microsoft Power BI (preferred), Tableau, or comparable programs.
  • Programming experience in Python, R, and Excel (including macros) with familiarity in commonly used data science libraries.
  • Working knowledge of ETL tools such as KNIME or Alteryx is a plus.
  • Excellent verbal and written communication skills, with the ability to present complex data clearly to non‑technical and senior audiences.
  • Demonstrated ability to analyze large, complex datasets and proactively recommend solutions.
  • Proficiency in Power BI, SQL, Excel, and the broader Microsoft Office Suite.
  • Strong organizational skills with the ability to independently manage multiple priorities.
  • Results‑oriented mindset with strong collaboration and business‑partner focus.
  • Ability to navigate and influence within a highly matrixed organization.

Benefits

Comp & perks
  • Comprehensive, multi-carrier program for medical, dental and vision benefits
  • 401(k) with match and an Employee Share Purchase Plan
  • 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
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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Hard Skills & Tools
SQLdata modelingdata transformationPower BIdata analysisPythonRExcelETLdata visualization
Soft Skills
communicationorganizational skillscollaborationproblem-solvinganalytical skillsresults-oriented mindsetconsultative supportindependent managementstakeholder engagementpresentation skills