Data and Business Analytics Sr. Consultant

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

About the Team

This role sits within Allstate Dealer Services (ADS), on a growing and evolving Data Team that partners closely with business leaders to drive growth, improve profitability, and reduce losses. The team operates in a highly collaborative, global model - working closely with U.S.-based business partners, AORs, and a data team in India.
If you love data, process improvement, and solving real business problems, this team offers a unique opportunity to make a visible and meaningful impact across the organization.

Role Overview
The Data & Business Analyst is responsible for supporting business decision-making through data analysis, reporting, and business process improvement. This role serves as a bridge between business stakeholders and technical teams by gathering requirements, analyzing data, identifying trends, and delivering actionable insights.

The ideal candidate combines strong analytical thinking with business acumen and has a desire to develop both technical data skills and consulting capabilities. This role provides exposure to business operations, analytics, reporting, process optimization, and product initiatives.

Key Responsibilities

Business Analysis

• Partner with business stakeholders to understand business objectives, challenges, and opportunities.

• Gather, document, and clarify business requirements and translate them into analytical solutions.

• Lead initiatives in defining KPIs, metrics, and success measures for business initiatives.

• Support process improvement efforts by identifying operational inefficiencies and recommending solutions.

• Create business requirement documents, user stories, process flows, and presentations.

Data Analysis & Reporting

• Extract, clean, and analyze data from multiple sources to answer business questions.

• Develop and maintain dashboards, scorecards, and recurring reports using tools such as Power BI or Tableau.

• Monitor business and operational performance metrics and identify trends, anomalies, and opportunities.

• Conduct root-cause analysis to support decision-making and problem resolution.

• Present findings and recommendations in a clear, business-friendly manner.

Stakeholder Collaboration

• Work closely with business leaders, product owners, technology teams, and operations partners.

• Participate in project meetings, workshops, and requirement-gathering sessions.

• Support implementation and adoption of data-driven solutions.

• Communicate project status, risks, and analytical findings to stakeholders.

Data Governance & Quality

• Validate data accuracy and investigate data quality issues.

• Document metric definitions, business rules, and reporting logic.

• Support data governance initiatives and ensure consistency across reporting solutions.

Qualifications

Required:

• 5-10 years of experience in business analysis, data analytics, reporting, or a related field.

• Basic proficiency in SQL for data extraction and analysis.

• Experience with Excel and reporting/visualization tools such as Power BI or Tableau.

• Strong analytical, problem-solving, and communication skills.

• Ability to translate data into meaningful business insights.

Preferred

• Experience with Python, R, or other analytical tools.

• Familiarity with Agile methodologies and project management concepts.

• Strong foundation in statistical analysis and hypothesis testing.

• Experience creating dashboards and executive reporting.

• Experience w