Senior Data & Analytics Specialist

The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.

Responsibilities

Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines; Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems; Data Analytics & Business Intelligence: Develop modern analytics solutions; Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric; Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems; AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions; Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices

Requirements

5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines; Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline; Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines; Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development; Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models; Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques; Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms; Experience with data governance, data quality, metadata management, and enterprise analytics best practices; Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions; Excellent communication skills with the ability to explain complex technical concepts to business stakeholders

Nice to have

Experience within professional services, consulting, financial services, or public accounting; Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms; Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications; Experience building production machine learning or advanced analytics solutions; Master's Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline