Business Intelligence Analyst - Data Engineering
US-OH-Cincinnati
US Careers
Req #: 12564
Type: Full-Time
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Overview: Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV 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 its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Responsibilities: 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; Qualifications: * 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.
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