Job Description
The Data Analytics Senior Consultant partners with Finance teams to translate complex business needs into scalable, data-driven solutions. This hands-on role leads high-impact analytics projects from requirements through implementation, combining financial understanding with technical expertise to deliver trusted datasets, semantic models, reporting solutions, and actionable insights.

Key Responsibilities

• Lead complex analytics initiatives from requirements through delivery, validation, and implementation.
• Partner with Finance teams to translate business questions and financial processes into clear data and solution requirements.
• Build scalable analytics solutions using SQL, Power BI, Microsoft Fabric, Python, and advanced Excel.
• Develop and maintain trusted datasets, semantic models, calculations, and reporting solutions.
• Validate data sources, business rules, and financial metrics to ensure accurate and consistent results.
• Support migration from legacy data sources and tools to modern Fabric-based solutions.
• Establish best practices for data sourcing, transformation, quality, documentation, governance, and reporting.
• Coach analysts and enable Finance teams through technical consultation, training, and reusable solutions.

Experience:

• 3 or more years of relevant experience in data analytics, business intelligence, financial analysis, or a related field.
• Experience delivering complex analytics solutions from requirements through implementation.
• Experience working with Finance, insurance, or other business partners is preferred.

Supervisory Responsibilities:

• This job does not have supervisory duties.

Skills:

• Business and Financial Acumen
• Data Analytics
• Consulting
• SQL
• Power BI
• Microsoft Fabric
• Python or PySpark
• Semantic Modeling
• Data Visualization
• Data Quality
• Data Governance
• Advanced Excel
• Stakeholder Management
• Technical Coaching

Skills
Analytics, Big Data Analytics, Business Acumen, Business Analysis, Business Case Analyses, Business Model Development, Consulting, Data Analytics, Data Governance, Data Quality, Data Visualization, Financial Acumen, Microsoft Excel, Microsoft Power Business Intelligence (BI), PySpark, Python (Programming Language), SaaS Products, Semantic Modeling, Shareholder Management, Stakeholder Management, Structured Query Language (SQL), Technical Coaching

Compensation
Compensation offered for this role is 70,100.00 - 121,475.00 annually and is based on experience and qualifications.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.