
10,000+ employees
Founded 1931
💼 Consulting
📦 Logistics
🛡️ Insurance
💰 Post-IPO Equity on 2014-01
Consulting • Logistics • Insurance
Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $100k - $170.5k / year
⏰ Full Time
🟠 Senior
🔴 Lead
📉 Data Analyst
🦅 H1B Visa Sponsor
👻 Ghost score 2%
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10,000+ employees
Founded 1931
💼 Consulting
📦 Logistics
🛡️ Insurance
💰 Post-IPO Equity on 2014-01
Consulting • Logistics • Insurance
Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.
• Lead the next evolution of Client Legal Services Legal Operations analytics by building a governed, scalable data and intelligence capability • Define and execute the CLS Legal Operations data and analytics roadmap • Lead the design, development, governance, and lifecycle management of executive and operational Power BI dashboards, semantic models, KPIs, and self-service reporting • Build and sustain governed Microsoft Fabric pipelines, lakehouse or warehouse solutions, reusable data products, and reliable integrations from TeamConnect and other core systems • Identify and implement responsible AI use cases, including natural-language insights, intelligent summarization, anomaly detection, workflow support, and decision assistance • Establish predictive and prescriptive analytics foundations, including use-case selection, feature and model development, validation, monitoring, and translation of outputs into operational and litigation insights • Create business cases and measurement frameworks connecting volume, time savings, capacity, cost avoidance, spend reduction, quality improvement, and business outcomes to investments • Establish data definitions, KPI governance, lineage, access, quality controls, reconciliation, documentation, and issue-resolution standards • Provide analytical support for assignment effectiveness, staffing and capacity, cycle time, task compliance, service delivery, quality, litigation trends, outside counsel performance, and workflow optimization • Translate complex data and technical concepts into concise, decision-ready insights for CLS and Law & Regulation leadership • Coach and develop analysts, clarify roles and operating practices, document institutional knowledge, and build sustainable bench strength • Collaborate with Legal, Claims, Finance, Quality, Business Architecture, Legal Technology, and enterprise data teams • Monitor emerging analytics, AI, and legal technology capabilities; test high-value use cases; and move successful solutions into governed production use
• 7 or more years of progressive experience in data analytics, business intelligence, data engineering, advanced analytics, or a related discipline • Advanced Power BI expertise, including data modeling, semantic models, DAX, Power Query, visualization standards, performance optimization, deployment, security, and governance • Working knowledge of Microsoft Fabric, including OneLake, data pipelines, notebooks, lakehouse or warehouse patterns, data engineering, governance, and integration with Power BI • Experience applying Python, SQL, machine learning, or comparable analytical methods to forecasting, classification, segmentation, anomaly detection, and predictive modeling • Practical understanding of generative AI, copilots, data agents, prompt-driven analytics, responsible AI controls, and human-in-the-loop design • Strong financial and operational acumen, including cost-benefit analysis, capacity modeling, unit cost, benefits tracking, and ROI realization • Experience establishing data quality controls, KPI definitions, documentation, testing, change management, and production support practices • Ability to lead through influence across technical and business teams and communicate effectively with senior leaders • Experience leading analysts or multidisciplinary analytics teams and developing technical talent • Demonstrated ownership of enterprise reporting products or analytics platforms from intake and design through deployment, adoption, and support • Experience in Legal Operations, insurance, claims, litigation, finance, or another complex regulated environment is strongly preferred • Bachelor’s degree in analytics, data science, computer science, information systems, finance, business, or a related field preferred; an equivalent combination of education and experience may be considered • Successful completion of a background investigation • Allstate generally does not sponsor individuals for employment-based visas for this position • Dedicated, private workspace free from distractions when working from home • Reliable internet with minimum speeds of 50 MB download and 5 MB upload
• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to help offset internet costs for employees eligible to work from home • Fully remote work arrangement • Opportunity to develop technical skills and build sustainable bench strength • Camera-on virtual interview accommodation for internal candidates; valid photo identification not required for internal candidates
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