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Data Analytics Consultant

Allstate

HybridHybrid

Original Job Summary

Overview

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. In the role of Data Analytics Consultant, you will support Law and Regulation teams by developing clean, reliable data pipelines and delivering actionable insights.

Key Responsibilities

  • Compile, clean, organize and analyze moderately complex data.
  • Provide technical expertise in data preparation and reporting.
  • Make data analytics accessible to non-technical stakeholders.
  • Establish and communicate standards for data retrieval and quality.
  • Present project information to teams and management.
  • Monitor and evaluate business initiatives against KPIs.

Essential & Desirable Skills

  • 2+ years in statistical, predictive, and prescriptive analytics.
  • Experience querying databases (SQL, Oracle, MongoDB).
  • Skilled in cleaning and transforming raw data.
  • Experience with data visualization tools (Tableau, Power BI).
  • Proficiency in SQL and basic programming (Python, PySpark, R).
  • Basic knowledge of Microsoft Fabric and data modeling concepts.
  • Understanding of the US Legal System is a plus.

Education & Experience

Bachelor's Degree required. 0-2 years of relevant experience preferred.

Other Information

Compensation ranges from $55,500 to $93,600 annually based on experience. Background investigation required. Allstate adheres to equal opportunity policies and promotes non-discriminatory practices. Note: Visa sponsorship is not available for this role.

Key skills/competency

Data Analysis, SQL, Python, Data Visualization, Reporting, Predictive Analytics, Prescriptive Analytics, Data Pipelines, Stakeholder Engagement, Data Cleaning

How to Get Hired at Allstate

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to data analytics role.
  • Highlight technical expertise: Emphasize SQL and Python proficiency.
  • Showcase project results: Quantify analytics impact.
  • Research Allstate's culture: Study mission, values, and news.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques.
Practice Python data manipulation.
Familiarize with Tableau dashboards.
Study data modeling fundamentals.

Behavioral Questions

Explain a complex data project.
Describe stakeholder collaboration experience.
Discuss handling tight deadlines.
Share problem-solving with data challenges.