Senior Data Analyst II

Overview

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 the link below, https://risk.lexisnexis.com

About The Team

We work in collaborative, cross-functional squads made up of a Squad Lead, Business Analyst, Development Lead, Developers, and Quality Engineers. This structure promotes strong communication, shared ownership, and faster delivery by aligning everyone on common goals and tasks.

About The Role

We are seeking an experienced Performance Engineer in Test who is enthusiastic about assessing and enhancing large-scale software solutions in a dynamic, agile environment. The successful candidate will collaborate with skilled full-stack engineers who share our commitment to crafting elegant and user-friendly software solutions. As a Performance Test Engineer III, you'll work to elevate our product's scalability and resilience.

Basic Functions

• This position performs data management and analysis tasks within a specific functional area or data type.
• Requires heavy communication with data sources/contacts.
  
  

• 8+ years’ experience in data management area with an analytical competencies demonstrated.
• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
  
  

• Subject Matter Expert with development languages such as SQL, UNIX, Linux, XML, HPCC, Python, etc.
• Subject Matter Expert with various data types and formats including, but not limited to: XML, flat files, delimited, etc.
• Subject Matter Expert with data analysis tools and processes.
• Excellent proofreading skills to see how data and facts can be linked together to create more meaningful conclusions.
• Strong research skills.
• Dealing with multiple data formats, including Excel spreadsheets, delimited files (such as CSV), and files with fixed-width layouts.
• Ability and desire to learn new processes, tools, and technologies.
• Problem solving skills.
• Attention to detail.
  
  

• Business support through data analysis and research.
• Modify pre-designed queries to assess data for research purposes.
• Independently run data statistics, including coverage stats, field populations, etc.
• Run data profiles.
• Support business or other data engineering teams with data subject matter expertise.
• Complete new data evaluations to diverse audiences.
• Create data documentation including mappings and quality thresholds.
• Investigate, track, and report data issues.
• Conducts data review and verification and ensures corrections/clarifications are made in a timely manner.
• Strong level of intimacy within a specific data content area.
• Provide technical problem solving to less technical teams (customer service, consumer advocacy, etc.).
• Undertake and complete new data on-boarding and/or production data management functions as assigned/required.
• Utilize various data workflow management and analysis tools.
• Resolve and/or guide data sources in resolving basic data issues within specific functional area or data type.
• Produce basic ad hoc data counts, stats, examples as required.
  
  

Learn more about the LexisNexis Risk team and how we work