Intern Project Request: BDAP Enhancements

Company/Organization:

LexisNexis Risk Solutions (LNRS)

Company Overview:

LexisNexis Risk Solutions is a leading global provider of data, analytics, and technology solutions that help organizations manage risk, achieve regulatory compliance, and drive operational efficiencies. LNRS leverages cutting-edge technologies and data science to offer insights across various industries, including insurance, healthcare, financial services, and government.

Platform Overview:

The Business Data Analytics Platform (BDAP) at LNRS is a comprehensive analytics platform that integrates various data sources, enabling sophisticated data analysis and reporting. BDAP supports decision-making across the organization by providing reliable, actionable insights. As the volume and complexity of data grow, ensuring data quality, security, and efficient data management within BDAP is crucial.

1. Project Title: Data Quality and Validation Enhancement

Background:

The BDAP platform is essential for LNRS’s data-driven strategy, providing accurate and timely analytics that drive key business decisions. To maintain the platform’s effectiveness, it is crucial to ensure the quality of data being processed. This project aims to enhance data quality by implementing robust data validation and monitoring mechanisms, thereby improving the reliability and integrity of analytics outputs.

Scope:

                •              Conduct a comprehensive assessment of the current data quality standards within BDAP.

                •              Identify common data quality issues such as missing values, duplicates, and inconsistencies.

                •              Implement automated data validation rules using Azure Data Factory, focusing on data cleansing, normalization, and standardization.

                •              Develop Power BI dashboards to visualize data quality metrics and set up real-time alerts for significant data quality issues.

                •              Document the data validation framework and provide training for stakeholders on best practices in data quality management.

Skill Set:

                •              Knowledge of data quality principles and validation techniques.

                •              Experience with Azure Data Factory and Power BI.

                •              Basic programming skills (Python or SQL).

                •              Strong analytical, documentation, and communication skills.

Benefits for Students:

                •              Gain hands-on experience in enhancing data quality within a large-scale analytics platform.

                •              Develop skills in data validation, integration, and visualization.

                •              Contribute to the reliability and accuracy of business analytics at LNRS.

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 

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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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