Are you interested in turning data into meaningful insights and eager to build hands-on experience with analytics, reporting, and business intelligence?

Would you like the opportunity to collaborate with experienced professionals and contribute to projects that support operational and strategic decision-making across a global organization?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/.

About our Team

The Business Transformation Office (BTO) Data Team is a centralized Data Analytics & Business Intelligence function supporting enterprise transformation initiatives, customer migrations, operational reporting, portfolio intelligence, and strategic decision-making. The team partners closely with business, technology, product, and program stakeholders to deliver trusted data, scalable reporting solutions, dashboards, analytics, and governance processes that improve visibility and drive business outcomes.

As part of Product Delivery & Consulting (PDC), the team helps support customer-focused programs and data-driven operational execution across the organization. The team consists of six members, including the manager, who collaborate closely to develop reporting, analytics, and data management solutions.

About the Role

The Data Analyst Intern will support the Business Transformation Office Data Team by assisting with data analysis, reporting, dashboard development, and data management. This internship provides hands-on experience with business intelligence tools, operational datasets, customer migration programs, and enterprise reporting initiatives. As a Data Analyst Intern, you will support a collaborative team focused on reporting, business intelligence, data quality, migration tracking, portfolio intelligence, and operational execution. You will partner with business and technical stakeholders, develop analytical skills, and gain exposure to enterprise-scale data initiatives. You will also work with data, analytics, and visualization tools while contributing to projects that help drive informed business decisions.

• Program Dates: May 24 – July 30, 2027
• Duration: 10 weeks
• Location: On-site in Alpharetta, GA. Candidates should be able to work on-site for the duration of the internship.
• Relocation Assistance: Relocation assistance is not available for this internship.
• Eligibility Requirements: Candidates must be currently enrolled undergraduate students with an expected graduation date of May 2028.

Responsibilities

• Assist with the development, maintenance, and enhancement of business intelligence dashboards and reports.
• Research, collect, clean, and analyze data from multiple business and operational data sources.
• Support data extraction, transformation, and analysis activities using SQL.
• Develop visualizations and reporting solutions using Power BI to communicate key metrics and insights.
• Analyze data to help identify trends, anomalies, risks, and opportunities that support business decisions.
• Support customer migration and transformation programs through data validation, reconciliation, and progress tracking activities.
• Assist in preparing findings and insights for presentation to stakeholders and project teams.
• Collaborate with team members on customer-focused projects, operational reporting, and continuous improvement initiatives.

Requirements

• Currently pursuing a bachelor’s degree in business analytics, data analytics, management, or a related field of study, with an expected graduation date of May 2028.
• Foundational knowledge of SQL, data analysis, data mining, and reporting concepts.
• Proficiency with Microsoft Excel, including formulas, data manipulation, and analysis of large or complex datasets.
• Working knowledge of Python or other analytics-related programming languages is a plus.
• Experience using Microsoft Office applications and Power BI; familiarity with DAX is preferred.
• Ability to analyze data and communicate findings through reports, dashboards, and visualizations.
• Effective written and verbal communication skills with the ability to collaborate with stakeholders and team members.
• Demonstrated curiosity, attention to detail, problem-solving skills, and a willingness to learn in a data-focused environment.

Salary

$20/hour

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