Senior Data & Analytics Specialist
$123,000–$150,000 year
HybridPhoenix, Arizona, United States
Job Summary
Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, and scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, and Operations systems. Build modern analytics solutions using Power BI and Microsoft Fabric to deliver executive dashboards, KPIs, and self-service reporting while establishing governance standards. Apply statistical analysis, predictive modeling, and machine learning techniques to solve complex business problems, and develop governed data assets that enable AI applications and intelligent automation. Provide technical leadership in data architecture and strategy, evaluating emerging tools to improve operational efficiency and support strategic decision-making. This role combines expertise in data engineering, business intelligence, and advanced analytics to transform enterprise data into trusted information that improves client outcomes.
Required Qualifications
- 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
Desired Qualifications
- 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
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