Data Analyst - India - Mumbai or Vadodara - Hybrid - 3 days work from office-2 days working from home.

About the Company
Pharmanovia is a global speciality pharmaceutical company focused on innovative speciality medicines and trusted, established brands. Pharmanovia combines scientific, medical, regulatory, market access, supply chain and commercial expertise to bring medicines to patients. Together, they reflect a business built to meet patient needs today while helping shape better outcomes for tomorrow.

About the Role
The Data Analyst role will be a part of Data Insights & Engineering team and play a key role in turning complex commercial and operational data into clear, actionable insights. The Data Analyst will contribute to commercial & operations data and analytics globally but with a focus on APAC & MEA regions. The Data Analyst will be a critical partner to commercial and supply chain teams, turning complex data into actionable insights that drive business performance and operational excellence. This role will take ownership of 3rd Party datasets in the regions, S&OP; analytics, Support CRM with data & processes, and collaborate with the engineering team on building and improving the data platform on Databricks and AWS. As the requirements of the business evolve, the responsibilities of the Data Analyst may change to meet these needs.

Responsibilities
Regional Data Ownership & Analysis:
Own and manage all commercial data and analytics for the APAC & MEA region, ensuring accuracy, timeliness, and accessibility.
Proactively identify data quality issues and work independently to resolve them, maintaining high standards of data integrity.
Deliver ad-hoc analysis and insights in response to stakeholder requests, translating business questions into analytical solutions.
Partner with commercial and supply chain teams to understand their challenges and provide data-driven recommendations.
S&OP; Analysis & Data Management:
Take ownership of Sales & Operations Planning (S&OP;) analytics, shaping the future direction of S&OP; measurement and insights.
Maintain the S&OP; dashboards and metrics that identify risks and opportunities early (Demand/supply imbalances, Forecast Accuracy, OOS events).
Drive continuous improvement of S&OP; data processes and KPI frameworks.
Provide critical insights that enable better inventory management and operational decision-making.
Insight Generation & Stakeholder Engagement:
Proactively surface insights that drive efficiency and performance improvements.




Present findings and recommendations confidently to senior leadership and cross-functional teams.
Build strong relationships with stakeholders, positioning yourself as their go-to data partner.
Challenge assumptions and advocate for data-driven decision-making.
Data Platform Collaboration:
Collaborate with the engineering team on the ongoing migration and development of our AWS and Databricks data platform.
Translate business requirements into technical specifications to support data pipeline development.
Act as a bridge between business stakeholders and technical teams, ensuring solutions meet user needs.
Contribute to the continuous improvement of our data infrastructure and tooling.
Self-Directed Problem Solving:
Spot issues and opportunities independently, taking initiative to drive solutions forward.
Rally cross-functional teams when needed to address challenges collaboratively.
Take ownership of delivering data products from ideation through to deployment.
Maintain high standards and persist in finding the right answers, even when challenges arise.

Qualifications
Relevant degree/certifications in Data Analytics or a related discipline.
Required Skills
Minimum 4 years of experience in a commercial data analyst or similar analytical role.
Proven experience working directly with commercial, operations or supply chain teams.
Advanced Power BI skills, including Dataflows, DAX and data modelling.
Strong SQL skills for data extraction, transformation and analysis.
Proven track record of independently leading cross-functional projects.
Proven ability to deliver impactful outcomes through effective stakeholder partnership.
Strong understanding of commercial analytics, business performance measures and KPIs.
Strong stakeholder management skills, with confidence engaging with senior stakeholders.
Exceptional drive and initiative, with a proactive approach to identifying and solving problems.
Self-starter who can work autonomously with minimal supervision.
Excellent communication skills, with the ability to translate complex analysis into clear, business-friendly insights.
Proven ability to deliver projects from concept through to completion.
Strong attention to detail and commitment to data quality and accuracy.




Strong problem-solving skills, with intellectual curiosity and persistence in finding the right answers.
Ability to challenge assumptions constructively and advocate for data-driven decision-making.
Ability to work effectively across functions and build strong relationships with business and technical stakeholders.
Resilient and adaptable, with the ability to work effectively in an environment of ambiguity and changing priorities.
Comfortable working with an Agile/DevOps mindset and within sprint-based delivery environments.
Ability to act with urgency and take ownership of issues rather than waiting for others to resolve them.

Preferred Skills
Experience within the pharmaceutical, healthcare, biotechnology or life sciences industry.
Experience working in a fast-paced, PE-backed or high-growth environment.
Experience with S&OP; or supply chain analytics.
Experience with Databricks or similar cloud data platforms.
Familiarity with AWS cloud services.
Python programming skills.
Experience with CRM systems, particularly Salesforce.
Knowledge of pharmaceutical supply chain and distribution models.
Experience owning or managing third-party commercial datasets.
Experience supporting CRM data and processes.
Experience collaborating with data engineering teams on cloud data platforms, pipelines and data products.
Experience translating business requirements into technical specifications.
Experience working across regional and global stakeholder groups, particularly across APAC and MEA.
Experience identifying opportunities for continuous improvement in data processes, reporting and KPI frameworks.

Pay range and compensation package
We offer a competitive salary plus a bonus and rewards package, including holidays, employee recognition awards, social events, a pension scheme, and hybrid working.

Equal Opportunity Statement
Pharmanovia is an equal-prospect employer. Pharmanovia does not unlawfully discriminate against employees or applicants for employment based on an individual’s race, colour, religion, creed, sex, sexual orientation, gender identity or expression, national origin, genetic information, age, disability, marital status or any other status protected by applicable law. This policy applies to all terms, conditions, and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination. Pharmanovia will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

📌 Data Analyst (Mumbai)
🏢 Pharmanovia
📍 Mumbai