Advanced Analytics Lead, Strategic Modeling
Advanced Analytics Lead, Strategic Modeling
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$ 150000 - 160000
1 Vacancy
Job Description
At Morgan & Morgan the work we do matters. For millions of Americans were their last line of defense against insurance companies large corporations or defective goods. From attorneys in all 50 states to client support staff creative marketing to operations teams every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6000 employees are all united by one mission: For the People.
Were building the analytics engine that powers strategic decision-making for Americas largestpersonal injury firm. This role involves building maintaining and evolving case-level forecasting models that drive headcount planning revenue & P&L projections and prescriptive recommendations. Youll partner with leadership across operations finance and legal to translate data into staffing plans financial outlooks and actionable targets using SQL Python Excel Power BI. This position will be a part of the Strategy & Insights group.
Core Responsibilities
Develop & Own Forecasting Models:Build and continually tune drivers-based case progression and settlement forecasts that feed into attorney/staff headcount models revenue projections and P&L scenarios.
Headcount & Capacity Planning: Translate case inventory and flow forecasts into staffing needs (attorneys case managers support) including what-if scenario modeling (growth attrition rightsizing) and pipeline management.
Revenue & P&L Modeling:Integrate forecasted case outcomes fee structures and timing lags into multi-period financial models to project cash flow revenue recognition profitability and marketing ROI.
Prescriptive Analytics:Surface actionable recommendations (e.g. staffing reallocation marketing spend adjustments operations bottlenecks) based on deviations and leading indicators.
Dashboarding & Automation:Build and maintain automated dashboards/reports (Power BI SQL Excel Python pipelines) to surface forecast outputs variance analyses KPIs and scenario comparisons to stakeholders.
Cross-functional Partnership:Work closely with Operations Finance and Marketing to align assumptions socialize forecasts and embed analytic insights into planning cycles.
Benchmarking & Goal Setting:Establish internal benchmarks (e.g. case resolution velocity attorney productivity budgeting) and help set realistic targets.
Root Cause & Variance Analysis:Lead deep dives when actuals diverge from forecast; quantify driver impacts and recommend corrective actions.
Influence & Storytelling:Provide the Strategy & Insights group with concise narratives and presentations to report to senior leadership for driving strategic decisions.
Strategy & Insights:Provide timely data-backed insights on special initiatives one-off questions and evolving business needs across multiple cross functional groups.
Qualifications
Must-Haves:
Bachelors degree in computer science engineering statistics or related field.
4 years of hands-on experience in data science analytics forecasting or BI with proven ownership of models that influenced staffing/revenue decisions.
Deep proficiency in SQL for exploring and transforming large operational datasets.
Proficient in Python or R with hands-on experience in data processing statistical modeling automation and machine learning (e.g. pandas NumPy ML libraries or equivalent).
Experience building interactive dashboards/reports with an emphasis on best practices data modeling (Power BI strongly preferred).
Strong Excel modeling skills.
Demonstrated ability to translate data into business impact translating findings to a non-technical audience.
Familiarity with drivers-based and bottom-up forecast construction variance analysis and scenario planning.
Comfortable working with ambiguity juggling multiple planning cycles and delivering under tight timelines.
Excellent communication skills: ability to document and socialize assumptions methodologies and results.
Nice-to-Haves:
Prior experience in legal operations personal injury or litigation-focused forecasting or professional services staffing models.
Exposure to P&L modeling with lag structures (e.g. case lifecycle revenue recognition).
Experience with prescriptive analytics / optimization (simple decision rules cost-benefit tradeoffs).
Familiarity with statistical survival analysis competing risks time series causal inference and specialized time-to-event modeling (common in case progression).
Experience integrating data from CRM/Case management systems (e.g. Litify/Salesforce) into forecasting pipelines.
Knowledge of revenue operations (RevOps) concepts and how they intersect with capacity and cost models.
Experience with statistical tools.
Experience building interactive internal tools.
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Salary Range
$150000 - $160000 USD
Benefits
Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people not the powerful. This success starts with our staff. For full-time employees we offer an excellent benefits package including medical and dental insurance 401(k) plan paid time off and paid holidays.
Equal Opportunity Statement
Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
E-Verify
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.
Privacy Policy
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Employment Type
Full Time
