Data and Business Analytics Sr. Consultant

Allstate Insurance Co. is a leader in protecting families and their belongings from life's uncertainties. The Data and Business Analytics Sr. Consultant role involves supporting business decision-making through data analysis, reporting, and business process improvement, acting as a liaison between business stakeholders and technical teams.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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 with Lean/Six Sigma methodologies
• Knowledge of data modeling, databases, or cloud analytics platforms