Data Analytics Consultant
@ National General

Hybrid
$70,000
Hybrid
Full Time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @nationalgeneral.com
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Job Details

About National General

National General, a member of The Allstate Corporation family, offers home, auto, accident & health, and niche insurance products. With a legacy dating back to 1939 and headquartered in New York City, we support our evolving customer needs through innovative solutions.

Job Overview

The Data Analytics Consultant role supports the National General Lender Services business unit. This position leverages data and analytics to answer moderately complex questions and drive decisions for both internal and external customers. Using tools such as SQL, Power BI, and MS Office applications, you will compile, clean, analyze, and report data to present actionable insights.

Key Responsibilities

  • Make business insights accessible to non-technical audiences.
  • Present project updates and data insights to management.
  • Monitor business initiatives and communicate performance results.
  • Compile, clean, and organize moderately complex data sets.
  • Establish and document standards for data retrieval and reporting.

Qualifications

Required education includes a 4-year Bachelor’s degree (preferred) or an equivalent combination of education and experience and a minimum of 2 years of work experience.

Key Skills/Competency

  • Data Analytics
  • SQL
  • Power BI
  • Data Reporting
  • Data Cleansing
  • Presentation Skills
  • MS Office
  • Consulting
  • Business Insights
  • Data Standards

How to Get Hired at National General

🎯 Tips for Getting Hired

  • Research National General's culture: Study company mission and values online.
  • Customize your resume: Highlight SQL, Power BI, and reporting skills.
  • Focus on results: Use data examples from previous roles.
  • Prepare for technical questions: Review data manipulation and visualization techniques.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and joins.
Review Power BI dashboard creation.
Brush up on data cleaning techniques.
Study MS Office reporting functions.

Behavioral Questions

Describe a challenging data project.
How do you communicate complex insights?
Explain teamwork on data projects.
Discuss handling tight deadlines.

Frequently Asked Questions