Asurion

Quantitative Analyst II

Asurion

full-time

Posted on:

Origin:  • 🇺🇸 United States • Tennessee

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Job Level

Mid-LevelSenior

Tech Stack

ETLSQLTableau

About the role

  • Develop robust business intelligence products and perform ad hoc analyses to drive outcomes for our partners
  • Operate in a direct support relationship to primary customers with the ability to meet requirements with some oversight
  • Collaborate with stakeholders to understand business needs and design data solutions that provide targeted insights that are clear, concise, and compelling
  • Establish and leverage a balance of business and data expertise to proactively identify business problems that can be solved or enhanced with data, analytics, reporting, and visualizations
  • Contribute to a collaborative, inclusive, and high-performance team culture
  • Interface with Technical Product Owners to enhance and maintain data marts and ETL processes with the evolving needs of business stakeholders
  • When necessary, facilitate faster response times for critical business needs by writing and optimizing complex SQL queries across disparate data sources
  • Proactively investigate trends in operational metrics and Key Performance Indicators (KPIs) to identify cause-and-effect relationships between business drivers

Requirements

  • Bachelor's Degree in related field preferred (MIS or Quantitative Disciplines), or combination of relevant professional experience and credentials
  • Demonstrated end-to-end ownership of complex and concurrent project engagements, including the development of reporting tools and performance management systems
  • Adept at navigating ambiguity—clarifying unclear requests, organizing priorities, and crafting clear, actionable roadmaps that lead to successful outcomes
  • Well-versed in data warehousing and architecture; experience designing and implementing scalable, multidimensional, and normalized data models
  • Experience in identifying and showcasing statistically significant trends in large & disparate data sets
  • Ability to identify and measure key performance indicators and assess how business changes impact those metrics
  • Exposure to call center, retail, supply chain, and/or operational analytics is a plus
  • Proven ability to write and execute complex SQL queries and manipulate disparate data sources
  • Working understanding of best practices for data warehousing architecture and data modeling
  • Proficient in Microsoft Office Suite (Word, Excel, Teams, PowerPoint)
  • Proficient with data reporting and visualization tools (SSRS, Power BI, Tableau, Spotfire)
  • Exposure to statistical analysis techniques (Regression, segmentation, clustering, forecasting, anomaly detection, NLP, ML, AI, Random Forest, Decision Trees)