Business Intelligence Analyst - Data Engineering

The Medpace Data Engineering team is growing rapidly and is focused on building a data driven culture across the enterprise. The DE team uses data and insights to drive increased strategic and operational efficiencies across the organization. As a Business Intelligence Analyst, you will hold a highly visible analytical role that requires partnership with staff across the Medpace organization.

What’s in this for you?

• Work in a collaborative, fast paced, entrepreneurial, and innovative workplace;
• Gain experience and exposure to advanced BI concepts from data warehousing to AI;

What’s involved?

We are looking for a Business Intelligence Analyst to add depth to our growing Analytical team in a variety of areas – including SQL, Python, Data Modeling, and Data Warehousing. This role will work in close partnership with the US Data Engineering team to drive enterprise-wide data initiatives to completion.

An ideal candidate in this role will apply great analytical skills, communication skills, and problem-solving skills to continue developing our analytics & BI capabilities. We are looking for team members who thrive in working with complex data sets, conducting deep data analysis, are intensely curious, and enjoy designing and developing long-term solutions.

What you bring to the table – and why we need you!

• Technical Skills – either experience in, or strong desire to learn fundamental technical skills needed to drive Data initiatives (SQL, Python, Dimensional Modeling, etc.);
• Communication Skills - Partner with other data engineers to implement data architecture and design, to support complex analysis;
• Analytical Skills - Conduct complex analysis and proactively identify key business insights to assist departmental decision making.
• Data Visualization skills - Designing and developing key metrics, reports, and dashboards to drive insights and business decisions to improve performance and reduce costs;

• Bachelor's Degree or higher in Business Analytics, Information Systems, IT, or similar;
• Experience in business intelligence or data engineering – advanced SQL and Python preferred. Open to entry-level candidates;
• Strong analytical and communication skills;
• Excellent organization skills and the ability to work independently.