Data & Analytics Lead Consultant

Allstate

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$90,700–$153,925 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $122k
$77k $222k
below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $135,000–$200,641 — the blue band above. At the midpoint, this role pays about $122k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 55 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 53 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Data & Analytics Lead Consultant

Role Posting Log in to save

The Data & Analytics Lead Consultant leads complex data and analytics initiatives to deliver trusted, secure, and scalable enterprise data capabilities. Working across business, technology, analytics, and data governance teams, this role involves advancing data strategy, governance, quality, and modernization. You will design and deliver scalable data solutions, manage data ingestion, transformation, and modeling, and support the modernization of legacy platforms into cloud and lakehouse architectures. Key responsibilities include establishing master data management standards, ensuring data security, and defining quality metrics. You will utilize technologies including Microsoft Fabric, Azure, Spark, Python/PySpark, SQL, Kafka, and dbt. The role solves technical problems related to data lifecycle management, metadata lineage, and creating integrated analytical capabilities to enable data-driven decision making across the enterprise.

Skills

Microsoft Fabric Azure Python PySpark SQL Spark Kafka dbt Lakehouse Data Modeling CI/CD Git Master Data Management Data Governance Data Quality Metadata Management data, lineage Data Engineering Observability

What you'll do

  • Lead complex, cross-functional data and analytics initiatives aligned with enterprise data strategies.
  • Translate business objectives into actionable data, analytics, and technology solutions.
  • Design and deliver scalable data solutions using technologies like Microsoft Fabric, Azure, Spark, and Python.
  • Modernize legacy data platforms through cloud, lakehouse, and modern data engineering patterns.
  • Establish data governance practices for ownership, metadata, lineage, and data quality controls.
  • Support Master Data Management by creating authoritative data definitions and reducing data duplication.
  • Incorporate security, privacy, and regulatory requirements into data architecture and consumption designs.
  • Communicate complex technical concepts and project risks to senior leadership and business stakeholders.

What we're looking for

  • Strong knowledge of data and analytics strategy, data governance, data quality, data engineering, and analytics.
  • Strong understanding of modern data architecture, including lakehouse, data warehouse, batch and streaming processing, and cloud-based data platforms.
  • Hands-on knowledge of technologies such as Microsoft Fabric, Azure, Spark, Python/PySpark, SQL, or equivalent modern data technologies.
  • Experience with data modeling, data integration, metadata, lineage, master data management, and data quality practices.
  • Experience with modern software and data engineering practices including Git, automated testing, CI/CD, monitoring, and observability.
  • Demonstrated ability to lead complex cross-functional initiatives and influence outcomes without direct authority.
  • Ability to translate technical concepts into business capabilities and communicate effectively with senior stakeholders.
  • 7 or more years of relevant experience in data, analytics, technology, consulting, or related disciplines (preferred).

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