Experienced Analytics Engineer

Medpace, Inc. • Cincinnati, OH

49d • Hybrid

About The Position

The Medpace Data & Analytics team is growing and is focused on building a data-driven culture across the enterprise. We leverage our business acumen and technical expertise to design, develop, and maintain scalable analytics solutions that transform raw data into trusted, actionable business insights. Our work spans enterprise data modeling, semantic layer development, data warehousing, and self-service analytics, enabling strategic decision-making and supporting business growth across Medpace.

We are seeking an Experienced Analytics Engineer to strengthen our growing Data & Analytics team by designing and delivering scalable data models, semantic layers, and analytics-ready datasets that drive reporting, self-service analytics, and operational decision-making across the enterprise.

This role serves as a bridge between data engineering, business stakeholders, and analytics consumers. The ideal candidate will be lead transformation of complex business requirements into technical solutions while ensuring data quality, consistency, performance, and governance. This individual will help establish analytics engineering standards, coach & mentor team members, and drive organizational value in our data.

What's in this for you?
Partner with leadership and subject matter experts across all areas of Medpace to solve complex business challenges
Play a role in building and growing Medpace's next-generation analytics platform and team
Work in a supportive, fast-paced, entrepreneurial, and innovative environment
Help define and implement best practices for analytics engineering, data modeling, and data governance
See the positive impacts of your work across the organization

Requirements

• Bachelor's Degree in Computer Science, Information Systems, Business Analytics, Data Engineering, or related field
• 5+ years of experience in Analytics Engineering, Business Intelligence, Data Warehousing, or a related data-focused discipline
• Strong expertise in data modeling, dimensional modeling, and semantic layer design
• Proven experience developing & leading development of business-friendly semantic models and enterprise data structures
• Experience with Microsoft BI technologies and modern data platforms like Snowflake
• Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders
• Experience implementing analytics engineering best practices, including testing, documentation, version control, and deployment processes
• Familiarity with Agile methodologies and Scrum frameworks
• Experience mentoring analysts, engineers, or junior team members

Nice To Haves

• Passion for building trusted, reusable data assets rather than one-off reports
• Ability to balance technical excellence with business value
• Leadership and ownership mindset
• Desire to drive adoption of self-service analytics and data-driven decision-making across the enterprise

Responsibilities

• Designing and delivering scalable data models, semantic layers, and analytics-ready datasets that drive reporting, self-service analytics, and operational decision-making across the enterprise.
• Serving as a bridge between data engineering, business stakeholders, and analytics consumers.
• Leading the transformation of complex business requirements into technical solutions while ensuring data quality, consistency, performance, and governance.
• Establishing analytics engineering standards.
• Coaching and mentoring team members.
• Driving organizational value in our data.

Benefits

• Competitive compensation programs that recognize and reward performance
• Comprehensive health, wellness, retirement, and PTO benefits
• Office based culture with occasional WFH that provides flexibility for eligible positions after training
• Company-sponsored social events and intramural sports

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level