Consultant - Commercial Solutions & Insights Hub (CSIH) Analytics

IQVIA • Wayne, PA

5d • Hybrid

About The Position

CSIH is a market-leading, service delivery-oriented division within IQVIA Commercial Solutions. CSIH team members consult with manufacturers in the pharmaceutical and biotechnology industries to meet the challenges of today’s complex and evolving healthcare landscape. Analytic Services leverages the power of healthcare data to help its clients formulate methodologies that answer business questions in a broad spectrum of areas of expertise-providing deep insights into patient, payer, and prescriber behaviors. As a valued member of the Analytic Services team, you will actively design analytics and execute them. You will acquire knowledge of IQVIA data sources, lead analysis to inform strategic recommendations, develop data analyses systems, and identify trends in complex data sets. You will also apply consulting methodologies to deliver engagements, create presentations for clients, manage projects, cultivate professional relationships with client teams, and work with management to prioritize needs. You will synthesize complex data into actionable results and recommendations from the evaluation of secondary data sources to answer a wide range of market, therapeutic, prescriber, patient, payer, and competitive related questions. Assist in developing detailed documentation and specifications, including business process documentation, SOPs, and client data scorecards. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

Requirements

• Bachelors degree or higher education required.
• 3-5 years of related experience including consulting and life sciences industry experience.
• Strong ability to manage priorities to meet deadlines with consistent, high-quality outcomes.
• Knowledge of the fundamental processes of pharmaceutical commercial business.
• Prior healthcare data experience, including working knowledge of physician and patient claims; IQVIA data preferred.
• Prior working experience in marketing analytics including patient journey, segmentation, targeting, promotion, allocation, sales force sizing and optimization, ROI, Tracking: Utilization, SOB, LOT, etc.; forecasting and launch, model building, patient analytics, ad-hoc and tracking of LAAD and patient data; supply/supply chain analytics, access: co-pay, performance, customer profiling, reversal/rejection analysis, adherence curves.
• Demonstrated knowledge in MS Excel, MS Access, and MS PowerPoint.
• Experience in data visualization software including Power BI and Tableau.
• Strong technical skills in any of the following: SAS, SQL, R, Python, and/or Excel VBA.
• Exposure to cloud processing environments such as Cloudera, Snowflake, and/or Databricks.
• Experienced with developing consultative relationships with senior level managers and executives at clients in the life sciences industry.
• Knowledge of consulting methodologies, tools, and techniques related to functional area.

Nice To Haves

• IQVIA data preferred.

Responsibilities

• Design analytics and execute them.
• Acquire knowledge of IQVIA data sources.
• Lead analysis to inform strategic recommendations.
• Develop data analyses systems.
• Identify trends in complex data sets.
• Apply consulting methodologies to deliver engagements.
• Create presentations for clients.
• Manage projects.
• Cultivate professional relationships with client teams.
• Work with management to prioritize needs.
• Synthesize complex data into actionable results and recommendations from the evaluation of secondary data sources to answer a wide range of market, therapeutic, prescriber, patient, payer, and competitive related questions.
• Assist in developing detailed documentation and specifications, including business process documentation, SOPs, and client data scorecards.
• Participate in learning communities to codify data analytics subject-matter expertise.
• Develop training content available to the entire team.

Benefits

• Incentive plans
• Bonuses
• Other forms of compensation
• Range of health and welfare benefits
• Other benefits

What This Job Offers

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