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Analytics Engineer

Talentify.io

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.

Responsibilities

We are seeking an 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 responsible for transforming complex business requirements into technical solutions while ensuring data quality, consistency, performance, and governance. This individual will help establish analytics engineering standards, 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
What You Bring to the Table – and Why We Need You!
  • Passion for building trusted, reusable data assets rather than one-off reports
  • Ability to balance technical excellence with business value
  • Strong ownership mindset
  • Desire to drive adoption of self-service analytics and data-driven decision-making across the enterprise
Qualifications
  • Bachelor's Degree in Computer Science, Information Systems, Business Analytics, Data Engineering, or related field
  • 2+ 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 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 preferred
  • Experience mentoring analysts, engineers, or junior team members preferred
Medpace Overview

Medpace is a full-service clinical contract research organization (CRO) providing phase l-lV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through the advancement of clinical research. We leverage in-country regulatory and therapeutic expertise across all major therapeutic areas including oncology, cardiology, metabolic, endocrinology, central nervous system, and anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries.

Why Medpace?

When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.

Purpose-Driven Work
  • Work alongside physicians, scientists, and industry-leading experts committed to advancing the global development of medical therapeutics through clinical research excellence
Collaborative Culture
  • Contribute to an interactive team environment that empowers decision making, creative thinking, and continuous learning through open communication and mutual trust.
  • Leadership throughout Medpace is both accessible and approachable
Continuous Growth & Development
  • Office based environment with on-site mentors
  • Defined career paths with clear advancement opportunities
  • Industry renowned onboarding and training programs designed to accelerate professional development
  • Ongoing training and continuous learning opportunities throughout your career
  • An environment that encourages employees to influence change, contribute ideas, and grow quickly
Other Employee 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
Cincinnati Headquarters Experience
  • A modern corporate campus designed to support collaboration and productivity
  • Multiple on-site dining options in the heart of Madison Square
  • Free on-site parking
  • Convenient access to on-site 24-7 fitness and wellness facilities
What to Expect Next

A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.

  • Bachelor's Degree in Computer Science, Information Systems, Business Analytics, Data Engineering, or related field
  • 2+ 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 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 preferred
  • Experience mentoring analysts, engineers, or junior team members preferred

We are seeking an 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 responsible for transforming complex business requirements into technical solutions while ensuring data quality, consistency, performance, and governance. This individual will help establish analytics engineering standards, 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
What You Bring to the Table – and Why We Need You!
  • Passion for building trusted, reusable data assets rather than one-off reports
  • Ability to balance technical excellence with business value
  • Strong ownership mindset
  • Desire to drive adoption of self-service analytics and data-driven decision-making across the enterprise
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Vacancy posted 8 hours ago
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