Pharmanovia is hiring for an FRESHER entry level Data Analyst role in India

Position: Data Analyst 
Company: Pharmanovia 
Location: Mumbai, Maharashtra / Vadodara, Gujarat, India 
Job type: Full-time 
Job mode: Hybrid 
Job requisition id: PN-2026-DA 
Years of experience: 0 to 3 years

Company description

• Pharmanovia operates as a dynamic, rapidly expanding international specialty pharmaceutical enterprise whose foundational mission centers on enhancing global patient health by revitalizing and extending the lifecycles of proven, niche, and trusted medicines.

• Established in 2013, the organization has consistently achieved robust year-on-year financial and operational expansion, specializing in delivering high-grade branded prescription therapeutics to medical prescribers, healthcare institutions, and patients across the globe.

• The corporate footprint extends across more than 160 international commercial markets, supported by a highly diverse product portfolio comprising over 20 iconic and essential pharmaceutical brands.

• Therapeutic areas of specialized clinical focus include Cardiovascular health, Oncology treatments, Endocrinology therapies, and Neurology solutions.

• The organization's foundational culture is guided by key core behaviors that define day-to-day operations:

  • Taking decisive action while maintaining uncompromising standards regarding product efficacy and operational quality.

  • Honoring corporate promises and systematically delivering on commitments made to internal and external partners.

  • Respecting and preserving brand heritage while actively fostering a vibrant, entrepreneurial organizational spirit.

  • Consistently reinvesting enterprise capital back into product portfolios, individual brand equity, and employee talent development.

  • Actively contributing to and enriching the local and global communities in which the enterprise operates.

  • Operating with agility, commitment, and innovation as a specialty pharmaceutical business and preferred lifecycle management partner for top global innovator pharma corporations.

• The company's unique value proposition centers on driving paradigm shifts in therapeutic lifecycle management, engaging extensively with clinical communities to communicate product enhancements and clinical optimizations.

• Environmental, Social, and Governance (ESG) priorities are deeply embedded across all corporate activities, operational frameworks, and workforce policies to ensure long-term sustainability and social responsibility.

• The organizational culture prioritizes human capital, offering a supportive, highly inclusive environment that encourages creative problem-solving and individual initiative.

• The global workforce is comprised of over 300 highly skilled employees representing 29 distinct national backgrounds, reflecting a diverse talent base.

• Corporate offices and regional operating hubs are strategically located across key international markets, including the United Kingdom, Denmark, the Netherlands, Switzerland, Italy, Spain, Germany, the United Arab Emirates, India, China, Australia, and Singapore.

• Through continuous commercial reinvestment, the business systematically enhances supply chain reliability, product accessibility, and therapeutic quality across both emerging and developed global markets.

Profile overview:

• The Data Analyst will serve as a core analytical engine for commercial and operational workflows globally, carrying dedicated responsibility for driving data intelligence across the Asia-Pacific (APAC) and Middle East & Africa (MEA) regional territories.

• This position acts as a critical strategic partner to regional commercial, sales operations, and supply chain leadership teams, transforming vast and complex data structures into clear, actionable business insights that enhance decision-making.

• Regional Data Ownership & Management responsibilities:

  • Taking full end-to-end accountability and stewardship for all commercial datasets across APAC and MEA, ensuring maximum data integrity, accuracy, timeliness, and user accessibility.

  • Proactively detecting, analyzing, and resolving data anomalies, discrepancies, and pipeline failures independently to preserve high organizational standards of data quality.

  • Performing rapid ad-hoc quantitative analyses and business modeling in response to immediate leadership requests, converting open-ended business challenges into structured analytical solutions.

  • Collaborating closely with commercial directors, key account managers, and logistics planners to understand localized business challenges and deliver empirical recommendations.

• S&OP Analysis & Data Infrastructure responsibilities:

  • Assuming complete ownership of Sales & Operations Planning (S&OP) analytics across target geographies, defining and shaping the long-term strategic trajectory of S&OP performance measurement.

  • Developing, maintaining, and enhancing interactive S&OP dashboards and tracking frameworks designed to identify operational risks and commercial opportunities early.

  • Monitoring critical supply chain dynamics, including demand and supply imbalances, forecast precision, inventory buffers, and out-of-stock (OOS) risk factors.

  • Driving continuous refinement and optimization of regional S&OP reporting mechanisms, data transformation scripts, and core KPI frameworks.

  • Providing key operational insights that empower executive teams to optimize inventory distribution, streamline stock allocation, and reduce carrying costs.

• Insight Generation & Senior Stakeholder Engagement responsibilities:

  • Uncovering hidden patterns, efficiency gaps, and commercial opportunities proactively through advanced exploratory data analysis.

  • Presenting complex technical analytics, strategic trends, and actionable recommendations with clarity and confidence to senior executive leadership and cross-functional task forces.

  • Building deep, trusted relationships with regional stakeholders to establish oneself as the premier, go-to analytical partner for APAC and MEA commercial units.

  • Actively challenging operational assumptions, status-quo practices, and intuitive guessing by advocating passionately for empirical, data-driven decision-making processes.

• Data Platform Collaboration & Cloud Infrastructure responsibilities:

  • Partnering directly with enterprise cloud data engineering teams to support the ongoing development, migration, and optimization of modern data platforms on AWS and Databricks.

  • Translating complex regional commercial requirements into robust technical specifications to guide automated data pipeline construction and database schema design.

  • Serving as an essential bi-directional communication bridge between business units and core engineering teams to ensure technical solutions satisfy real-world user requirements.

  • Contributing to the continuous modernization, scaling, and governance of corporate data architecture, analytical toolsets, and automated reporting pipelines.

• Autonomous Problem Solving & Delivery responsibilities:

  • Identifying operational issues, data gaps, and market opportunities independently without requiring continuous managerial direction or oversight.

  • Mobilizing cross-functional teams collaboratively to address urgent commercial bottlenecks, data inconsistencies, or supply chain disruptions.

  • Executing end-to-end management of data product development, guiding concepts seamlessly from preliminary requirements gathering and prototyping to final deployment and maintenance.

  • Maintaining relentless technical standards and demonstrating personal resilience when resolving highly complex analytical challenges or working with unstructured datasets.

• Within the initial 6 months of tenure, the analyst is expected to fully establish themselves as a trusted data advisor across APAC & MEA, empowering stakeholders to execute confident, data-backed decisions.

• The role operates within a fast-paced DevOps cultural framework, utilizing agile sprint methodologies where close team collaboration is harmonized with individual task ownership and autonomous execution.

Qualifications:

• Academic Foundation:

  • Possession of a Bachelor’s or Master’s degree in quantitative or technical fields, such as Mathematics, Statistics, Computer Science, Economics, Business Analytics, Life Sciences, or relevant Engineering disciplines.

  • Solid grounding in quantitative methodologies, statistical reasoning, mathematical modeling, and data evaluation principles.

• Professional Experience:

  • Minimum of 0 to 3 years (or equivalent relevant professional exposure) acting in a commercial data analyst, business intelligence analyst, or operational data consultant role.

  • Demonstrated history of working directly alongside commercial, marketing, sales, or supply chain execution teams in a fast-moving business context.

  • Proven capability to lead cross-functional data initiatives independently, delivering tangible commercial impact through effective stakeholder alignment and communication.

  • Prior exposure to or professional experience within the pharmaceutical, life sciences, healthcare distribution, or medical device industries is considered highly beneficial.

  • Prior experience operating within fast-paced, private equity-backed, or high-growth corporate structures where adaptability and speed of execution are paramount.

  • Practical experience dealing with Sales and Operations Planning (S&OP), demand forecasting, inventory management, or supply chain logistics analytics is strongly desired.

• Technical Competencies & Toolsets:

  • Mastery of Microsoft Power BI, encompassing advanced DAX (Data Analysis Expressions), complex Dataflows creation, semantic data modeling, custom visualization techniques, and row-level security implementation.

  • Advanced proficiency in SQL (Structured Query Language) for complex database query construction, multi-table joins, window functions, aggregate functions, and data transformation procedures.

  • Hands-on familiarity or practical exposure to modern cloud analytics platforms, notably Databricks and Amazon Web Services (AWS) ecosystem components.

  • Practical knowledge or working proficiency in Python scripting for automated data extraction, exploratory data analysis, and scripting workflows.

  • Exposure to Customer Relationship Management (CRM) tools, particularly Salesforce architecture, object structures, and commercial pipeline reporting.

• Domain Knowledge & Conceptual Understanding:

  • In-depth comprehension of core commercial analytics principles, pharmaceutical sales metrics, performance KPIs, and revenue analysis methodologies.

  • Knowledge of specialty pharmaceutical supply chain operations, wholesaler distribution models, pharmacy fulfillment channels, and regional regulatory frameworks.

  • Deep understanding of Agile project execution frameworks, DevOps delivery mindsets, and sprint-based collaborative methodologies.

• Personal Attributes & Behavioral Traits:

  • Exceptional internal drive, high energy, and proactive initiative, with a natural inclination to identify and solve operational problems independently.

  • Highly self-directed mindset with the demonstrated ability to thrive in autonomous work conditions under minimal day-to-day oversight.

  • Superior stakeholder management competencies, characterized by poise, credibility, and confidence when presenting to senior leadership.

  • Outstanding verbal and written communication skills, capable of distilling intricate data outputs into plain, business-friendly insights.

  • Highly collaborative, team-oriented attitude with an ability to work seamlessly across culturally diverse and geographically dispersed global functions.

  • Uncompromising focus on analytical precision, data accuracy, and systematic data governance standards.

  • Exceptional resilience, mental flexibility, and composure when navigating ambiguous business scenarios or shifting corporate priorities.

  • Strong output orientation, backed by a track record of completing projects from concept design to final implementation.

  • Intellectual curiosity and passion for continuous learning, technical skill enhancement, and root-cause problem investigation.

  • Strong sense of urgency and direct ownership, proactively taking steps to fix issues rather than waiting for external intervention.

Additional info:

• Geographical & Work Setup Parameters:

  • The position is offered on a hybrid working model based out of corporate office locations in either Mumbai, Maharashtra, or Vadodara, Gujarat, India.

  • Offers extensive exposure to global commercial markets, providing a direct platform to influence business outcomes across key high-growth territories in the APAC and MEA regions.

  • Offers flexibility to balance structured in-person office collaboration with focused remote working options.

• Team Dynamics & Cultural Environment:

  • Embedded within a tight-knit, multifunctional, and high-performing analytical team where team members contribute broadly across diverse technical domains.

  • Culture emphasizes psychological safety, continuous constructive feedback, active mentorship, and shared celebration of project successes.

  • Operates with an agile DevOps mindset that balances team-wide sprint planning with clear individual ownership of key data products and regional metrics.

• Strategic Business Impact & Value Creation:

  • Direct participation in shaping the cloud data infrastructure on Databricks and AWS, contributing to the modernization of global corporate data architecture.

  • Direct role in optimizing S&OP processes, directly influencing multi-million dollar inventory allocations, reducing stockouts, and enhancing customer delivery reliability across international markets.

  • Immediate opportunities to influence high-level commercial decision-making by supplying key country managers and regional vice presidents with strategic insights.

• Onboarding & Professional Growth Pathways:

  • Structured 6-month integration roadmap designed to build domain knowledge, introduce key stakeholders, and establish the analyst as a regional domain expert.

  • Ample professional growth opportunities to advance into senior analytics, data engineering, product management, or commercial leadership roles.

  • Access to cutting-edge cloud technologies, modern BI stacks, enterprise CRM solutions, and hands-on exposure to global pharmaceutical commercial strategy.

• Corporate Commitment to ESG & Diversity:

  • Active participation in an inclusive international work community uniting 300+ professionals across 29 nationalities and multiple geographical hubs.

  • Opportunity to participate in company-wide environmental, social, and community outreach programs designed to make a positive global impact.

  • Equal opportunity employer committed to fostering an equitable, safe, and empowering environment for all employees regardless of background.

Please click here to apply.