Analytics Lead, Data Analytics & Modeling

Vanguard • Malvern, PA

18h • Hybrid

About The Position

We are seeking an Analytics Lead to join our Data Analytics & Modeling team. In this role, you will provide hands-on technical leadership in designing, building, and maintaining scalable data models, datasets, and analytical solutions. You will write, review, and own production-quality SQL and Python code for data pipelines, transformations, and analytical workflows. As a technical lead on complex projects, you will define approaches, drive design decisions, and ensure high-quality execution. You will partner closely with data engineering and platform teams to influence data architecture, modeling standards, and tooling, ensuring analytics solutions are built on trusted, well-governed, and sustainable data foundations. You will also lead the delivery of high-impact dashboards, metrics, and analytical products that support strategic and operational decision-making. This involves translating ambiguous business problems into structured analytical approaches, data models, and technical solutions, and applying advanced analytical techniques to identify trends, risks, and opportunities. You will drive automation and standardization of reporting and analytics workflows to improve scalability and reduce manual effort, owning outcomes for key deliverables and ensuring timelines, quality, and business impact are met. Additionally, you will lead analytics workstreams across multiple concurrent initiatives, mentor and support junior analysts, promote best practices, and act as a bridge between business stakeholders and technical teams. You will contribute to shaping analytics priorities and roadmaps, balancing near-term delivery with long-term data quality and scalability.

Requirements

• 4+ years of experience in data analytics, data engineering, or related technical roles with strong hands-on delivery.
• Proven experience leading complex analytics or data initiatives as an individual contributor.
• Strong experience designing scalable data models (e.g., dimensional, semantic, or analytical models).
• Advanced proficiency in SQL and Python, with experience maintaining complex analytical codebases.
• Experience partnering closely with data engineering teams on data pipelines, architecture, and data platforms.
• Deep understanding of analytics and BI concepts, with experience using tools such as Power BI, Tableau, Looker, or similar.
• Strong ability to translate ambiguous business problems into well-structured technical solutions.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.

Nice To Haves

• Experience mentoring analysts in a technical lead or informal leadership capacity.
• Familiarity with modern data platforms (e.g., cloud data warehouses, transformation frameworks, orchestration tools).
• Experience operating in complex, enterprise or regulated environments.
• Background in financial services, wealth management, or advisor-focused businesses.

Responsibilities

• Design, build, and maintain scalable data models, datasets, and analytical solutions with a focus on correctness, performance, and reusability.
• Write, review, and own production-quality SQL and Python code across data pipelines, transformations, and analytical workflows.
• Serve as a technical lead on complex projects—defining approach, driving design decisions, and ensuring high-quality execution.
• Partner closely with data engineering and platform teams to influence data architecture, modeling standards, and tooling.
• Ensure analytics solutions are built on trusted, well-governed, and sustainable data foundations.
• Lead the delivery of high-impact dashboards, metrics, and analytical products that support strategic and operational decision-making.
• Translate ambiguous business problems into structured analytical approaches, data models, and technical solutions.
• Apply advanced analytical techniques (e.g., statistical analysis, predictive modeling, machine learning where appropriate) to identify trends, risks, and opportunities.
• Drive automation and standardization of reporting and analytics workflows to improve scalability and reduce manual effort.
• Own outcomes for key deliverables, ensuring timelines, quality, and business impact are met.
• Lead analytics workstreams across multiple concurrent initiatives, coordinating across stakeholders and ensuring alignment to business priorities.
• Mentor and support junior analysts through code reviews, design discussions, and hands-on coaching.
• Promote best practices in data modeling, coding standards, and analytical rigor across the team.
• Act as a bridge between business stakeholders and technical teams, ensuring solutions are both business-relevant and technically sound.
• Contribute to shaping analytics priorities and roadmaps, balancing near-term delivery with long-term data quality and scalability.

Benefits

• Hybrid working model designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.
• Mission-driven and highly collaborative culture.
• Opportunities for long-term client outcomes and enriched employee experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed