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Data Analyst - Job Opportunity at Gottlieb and Greenspan

Fair Lawn, US
Full-time
Mid-level
Posted: August 8, 2025
On-site
USD 90,000 - 120,000 per year

Benefits

Comprehensive 401(k) retirement savings plan with potential employer matching to secure long-term financial stability
Full dental insurance coverage providing preventive and restorative care benefits
Complete health insurance package ensuring medical coverage and reducing out-of-pocket healthcare expenses
Life insurance protection providing financial security for beneficiaries
Generous paid time off policy supporting work-life balance and personal well-being
Progressive parental leave benefits demonstrating family-friendly workplace culture
Enhanced retirement planning options beyond standard 401(k) for comprehensive financial security
Vision insurance coverage for eye care and corrective lens benefits

Key Responsibilities

Lead comprehensive analysis of large-scale structured and unstructured data sets to generate critical business intelligence and legal insights that directly impact firm strategy and client outcomes
Design and develop sophisticated dashboards, analytical reports, and predictive modeling solutions that drive informed decision-making across all organizational levels
Partner strategically with attorneys, operations teams, and IT departments to identify business requirements and architect data-driven solutions that enhance operational efficiency
Spearhead the firm's digital transformation initiative by implementing cutting-edge AI and machine learning capabilities to modernize data infrastructure
Execute complex data integration projects across enterprise systems including Salesforce CRM and Box document management platforms to create unified data ecosystems
Deliver executive-level presentations translating complex analytical findings into clear, actionable insights through compelling visualizations and strategic recommendations

Requirements

Education

Bachelor's degree required in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field

Experience

3–5 years of experience as a Data Analyst or related role

Required Skills

Advanced skills in SQL and either Python or R Experience using data visualization tools (e.g., Tableau, Power BI, or Looker) Knowledge of data integration from platforms like Salesforce and Box Understanding of AI/ML techniques and when to apply them Excellent problem-solving, communication, and cross-functional collaboration skills Legal industry experience is a plus but not required
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Sauge AI Market Intelligence

Industry Trends

Legal technology is experiencing unprecedented growth with law firms increasingly adopting data analytics to improve case outcomes and operational efficiency. Healthcare reimbursement law specifically requires sophisticated data analysis capabilities to navigate complex regulatory environments and identify patterns in reimbursement disputes. The integration of artificial intelligence and machine learning in legal practices has become critical for competitive advantage, particularly in specialized areas like healthcare law where vast amounts of regulatory and case data must be processed efficiently. Legal firms are transitioning from traditional document-heavy workflows to data-driven decision making, creating substantial demand for analysts who can bridge the gap between technical capabilities and legal expertise.

Salary Evaluation

The offered salary range of $90,000-$120,000 is competitive for a mid-level data analyst position in the New Jersey market, particularly considering the specialized nature of healthcare reimbursement law. This range aligns well with current market rates for analysts with 3-5 years of experience in the greater New York metropolitan area.

Role Significance

Likely working within a small, specialized team of 2-4 technology professionals, with direct collaboration across multiple departments including legal, operations, and IT, suggesting a matrix organizational structure.
This is a mid-level individual contributor role with significant strategic impact, positioned to influence firm-wide technological advancement and operational decision-making. The role carries substantial responsibility for guiding digital transformation initiatives.

Key Projects

Implementation of predictive analytics models for healthcare reimbursement case outcomes Development of comprehensive client reporting dashboards integrating multiple data sources Creation of automated data pipelines connecting CRM, document management, and case management systems Design of AI-powered document analysis tools for legal research and case preparation

Success Factors

Ability to translate complex legal concepts into quantifiable data problems and vice versa, requiring strong domain knowledge development in healthcare reimbursement regulations Exceptional communication skills to effectively present technical findings to legal professionals who may have limited data science background Strategic thinking capabilities to identify opportunities where data analysis can provide competitive advantages in legal practice Technical versatility to work across multiple platforms and integrate diverse data sources while maintaining data integrity and security standards Change management skills to guide the firm through digital transformation while maintaining operational continuity

Market Demand

High demand exists for data analysts with legal industry experience, as law firms increasingly recognize the strategic value of data-driven insights in client service delivery and operational optimization.

Important Skills

Critical Skills

SQL and Python/R proficiency are absolutely essential as they form the foundation for all data manipulation, analysis, and modeling work required in this role. The legal industry generates vast amounts of structured data from case management systems, regulatory filings, and client interactions that require sophisticated querying and analysis capabilities. Data visualization expertise using tools like Tableau or Power BI is critical for translating complex analytical findings into compelling presentations for legal professionals and clients. The ability to create intuitive dashboards and reports directly impacts the firm's ability to demonstrate value to clients and support strategic decision-making. Understanding of AI/ML techniques becomes increasingly important as the legal industry adopts predictive analytics for case outcome prediction, document analysis, and process automation. This knowledge positions the analyst to lead technological innovation within the firm.

Beneficial Skills

Legal industry experience, while not required, provides significant advantages in understanding the unique challenges, terminology, and workflows of legal practice, enabling more effective solution design and stakeholder communication. Healthcare domain knowledge would accelerate the learning curve given the firm's specialization in healthcare reimbursement law, allowing for more sophisticated analysis of industry-specific data patterns and regulatory requirements. Project management skills would be valuable given the role's involvement in firm-wide digital transformation initiatives and cross-functional collaboration requirements.

Unique Aspects

Opportunity to specialize in the intersection of healthcare law and data science, a highly specialized niche with limited competition and strong growth potential
Direct involvement in digital transformation initiatives that will shape the future of legal service delivery in healthcare reimbursement
Exposure to complex regulatory environments and the opportunity to develop expertise in healthcare compliance and reimbursement methodologies
Small firm environment providing broad exposure to business operations while working on cutting-edge technology implementations

Career Growth

Advancement to senior-level positions typically occurs within 2-3 years given the specialized nature of legal analytics and the growing demand for experienced professionals in this niche.

Potential Next Roles

Senior Data Analyst or Lead Data Scientist positions within legal technology Healthcare Analytics Manager roles in consulting firms or healthcare organizations Legal Technology Director positions overseeing broader technology strategy Business Intelligence Manager roles in professional services firms

Company Overview

Gottlieb and Greenspan

Gottlieb and Greenspan operates as a specialized boutique law firm focused exclusively on healthcare reimbursement, positioning them as subject matter experts in a highly complex and regulated area of law. This specialization allows for deep expertise development and premium service delivery to healthcare clients.

As a premier firm in healthcare reimbursement law, the company likely maintains strong relationships with healthcare systems, insurance companies, and regulatory bodies, providing stability and growth opportunities in an expanding healthcare market.
Located in Fair Lawn, New Jersey, the firm benefits from proximity to major healthcare systems in the New York metropolitan area while potentially offering more cost-effective operations than Manhattan-based competitors.
The emphasis on technological advancement and AI/ML implementation suggests a forward-thinking, innovation-oriented culture that values continuous learning and professional development in emerging technologies.
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