Description : Role Overview :
The Associate Consultant / Consultant Advanced Analytics will play a key management role in leading complex analytical engagements, managing client relationships, and guiding teams in delivering high-impact business insights. This role demands strong analytical expertise, leadership ability, and a deep understanding of the pharmaceutical data landscape.
The successful candidate will collaborate with cross-functional teams and global stakeholders to define analytical approaches, design data-driven solutions, and deliver actionable recommendations that influence commercial and strategic outcomes.
Key Responsibilities :
Project Management & Leadership :
- Manage multiple end-to-end advanced analytics projects, ensuring delivery excellence, quality, and alignment with client objectives.
- Lead, mentor, and guide teams of analysts, data scientists, and business consultants to deliver strategic analytical outcomes.
- Coordinate across functions such as Forecasting, Competitive Intelligence, and Sales Analytics to synthesize and integrate insights.
- Serve as the primary offshore project manager and liaison for onshore teams and client stakeholders.
- Establish robust governance mechanisms, define project plans, and ensure adherence to timelines and resource allocations.
Client Engagement & Strategy :
Build and sustain trusted client relationships through proactive engagement and strategic advisory support.Translate complex business challenges into structured analytical frameworks and measurable solutions.Present insights, models, and recommendations through clear, executive-level reports and presentations.Identify and pursue opportunities for business expansion within existing accounts; contribute to proposal and solution development for new engagements.Technical & Analytical Excellence :
Analyze large-scale pharmaceutical and healthcare datasets, including claims, EHR / EMR, prescription, sales, and promotional data.Design and develop predictive and prescriptive models leveraging statistical and machine learning techniques.Ensure data integrity through rigorous validation, cleaning, and transformation processes.Develop analytical workflows, automation scripts, and interactive dashboards using tools such as SQL, Python, R, Power BI, or Tableau.Apply advanced statistical and machine learning methodologies to derive insights on market trends, physician behavior, and product performance.Drive process improvements through standardization, automation, and integration of advanced analytics tools and technologies.Team Development & Knowledge Management :
Mentor and upskill team members on analytical methodologies, client communication, and project delivery.Foster a culture of analytical innovation, collaboration, and continuous learning.Contribute to internal best practices, knowledge repositories, and reusable analytics frameworks to strengthen organizational capability.Required Qualifications :
Bachelors or Masters degree in Engineering, Data Science, Statistics, Life Sciences, or a related discipline.4 - 8 years of professional experience in pharmaceutical or life sciences analytics, consulting, or data science.Demonstrated experience in managing analytics or consulting teams within a client-facing environment.Strong understanding of pharmaceutical commercial data assets (IQVIA, Symphony, SHS, etc.) and data types (Rx, claims, patient-level, specialty-level data).Proficiency in Excel, PowerPoint, and at least one analytical or programming language (SQL, Python, or R).Exceptional communication, presentation, and stakeholder management skills.Proven ability to manage multiple projects and priorities under tight timelines.(ref : iimjobs.com)