PharmaACE - Associate Consultant/Consultant - Advanced Analytics

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)