Consultant - Commercial Solutions & Insights Hub (CSIH) Analytics

IQVIA • Parsippany, NJ

6d • $71,200 - $239,200 • Hybrid

About The Position

The Consultant - Commercial Solutions & Insights Hub (CSIH), Analytic Services role is within IQVIA's CSIH division, which is a market-leading, service delivery-oriented division. This division consults with pharmaceutical and biotechnology manufacturers to address challenges in the healthcare landscape. The Analytic Services team utilizes healthcare data to help clients develop methodologies that answer business questions across various expertise areas, providing insights into patient, payer, and prescriber behaviors. As a member of the Analytic Services team, the individual will design and execute analytics, gain knowledge of IQVIA data sources, lead analyses for strategic recommendations, develop data analysis systems, and identify trends in complex datasets. The role also involves business consulting and project management, applying consulting methodologies for client engagements, creating client presentations, managing projects, fostering client relationships, and prioritizing needs with management. The consultant will synthesize complex data into actionable results and recommendations by evaluating secondary data sources to answer questions related to market, therapeutic, prescriber, patient, payer, and competitive aspects. Additionally, the role includes assisting in the development of detailed documentation and specifications, such as business process documentation, SOPs, and client data scorecards. The CSIH division values team members with strengths in Ownership, Growth, Innovation, and Collaboration. Opportunities exist to contribute to the CSIH community through learning communities, codifying data analytics expertise, and developing training content for the team.

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.
• Prior healthcare data experience, including working knowledge of physician and patient claims.

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
• Range of health and welfare benefits

What This Job Offers

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