Data Analyst

Pharmanovia is a dynamic, fast-growing international pharmaceutical company with a portfolio of over 20 brands across more than 160 markets. Our mission is to improve patient health globally through the revitalisation of niche, tried-and-trusted medicines.

Our core behaviours are:

• We act decisively but we never compromise on quality.
• We keep our promises and do as we say.
• We value our heritage and foster an entrepreneurial spirit.
• We reinvest in our future – in our products, our brands and our people.
• We give back to our communities.

Since its inception in 2013, Pharmanovia has grown consistently year on year, focusing on delivering high-quality branded prescription medicines to patients, prescribers, and healthcare providers across the world. Our growth has enabled the company to reinvest in its products, brands, people, and to give back to its communities. A people business with a strong, supportive culture that encourages innovation and entrepreneurial spirit, our team comprises over 300 employees and 29 nationalities, operating from offices in the UK, Denmark, Netherlands, Switzerland, Italy, Spain, Germany, U.A.E., India, China, Australia and Singapore.

We are an agile, committed, and innovative global specialty pharma business and a preferred partner for innovator pharma companies, instigating a paradigm shift in the life cycle management of iconic medicines. We seek to extensively engage with clinical communities to communicate product improvements and prioritise environmental, social, and governance considerations across the business and workforce.

Pharmanovia's therapeutic areas include Cardiovascular, Oncology, Endocrinology and Neurology.

Job description:

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.

The role will report directly to the Associate Director of Data Insights & Engineering. Key skills required are advanced PowerBI and SQL capabilities, proven experience leading cross-functional projects independently, strong stakeholder management with confidence engaging at senior levels, and exceptional drive and initiative to proactively identify and solve problems. The ideal candidate will be a self-starter who thrives working autonomously, combines technical expertise with excellent communication skills, and maintains high standards while persisting in finding the right answers.

Within the first 6 months, the successful candidate will have established themselves as the trusted data partner for APAC & MEA stakeholders, enabling them to make confident, informed decisions through insights, analysis, and proactive support. The team operates with a DevOps mindset, working in sprints within a dynamic environment where collaboration is balanced with independent ownership, and where initiative and impact are highly valued.

Location : Mumbai, Maharashtra /Vadodara, Gujrat

Main responsibilities & duties:

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.

Who Will Thrive in This Role

This role is ideal for a self-starter who combines strong technical skills with excellent stakeholder management abilities. You'll be comfortable working with a high degree of autonomy in a fast-paced environment where agility and initiative are essential. You don't need to be told what to do next - you identify what needs doing and deliver it.

You're someone who gets energised by solving problems and making an impact. When you see an issue, your instinct is to fix it, not wait for someone else to act. You're collaborative but independent, able to work through complex challenges with others while also delivering results on your own initiative.

The successful candidate will be confident engaging with stakeholders at all levels, from account managers to senior leadership, translating their needs into analytical solutions and presenting insights with clarity and conviction. You won't shy away from challenging conversations when the data tells a different story, and you'll advocate strongly for data-driven decision-making.

Working Environment

Our team operates with a DevOps mindset, working in sprints and adapting quickly to changing priorities. We're a small, tight-knit team where everyone contributes across multiple areas and collaboration is balanced with independent ownership.

You'll receive support and guidance as you settle in, while being trusted to take ownership and drive your work forward. We value people who ask questions, seek to understand deeply, and then execute independently. The work is demanding but rewarding, with genuine opportunities to learn from a high-performing multifunctional team and make a meaningful impact.

What We're Looking For

Qualifications & Experience

• A relevant degree in Mathematics, Economics, Business, Life Sciences, or a related field.
• Minimum 4 years of experience in a commercial data analyst or similar role.
• Experience working directly with commercial or operations teams.
• Proven track record of independently leading cross-functional projects and delivering impactful outcomes through effective stakeholder partnership.
• Experience in the pharmaceutical or healthcare industry is desirable.
• Experience working in fast-paced, PE-backed or high-growth environments is desirable.
• Experience with S&OP or supply chain analytics is desirable.

Technical Skills

• Advanced Power BI skills, including Dataflows, DAX and data modelling.
• Strong SQL skills for data extraction and transformation.
• Experience with Databricks or similar cloud data platforms is desirable.
• Familiarity with AWS cloud services is desirable.
• Python programming skills are desirable.
• Experience with CRM systems, particularly Salesforce, is desirable.

Knowledge & Understanding

• Strong understanding of commercial analytics and KPIs.
• Knowledge of pharmaceutical supply chain and distribution models is desirable.
• Understanding of Agile/DevOps working methodologies is desirable.

Personal Qualities

• Exceptional drive and initiative, with the ability to proactively identify and solve problems.
• Self-starter who thrives when working autonomously with minimal supervision.
• Strong stakeholder management skills, with confidence engaging with senior stakeholders.
• Excellent communication skills, with the ability to explain complex analysis in clear, business-friendly terms.
• Collaborative team player who works effectively across functions.
• High attention to detail and a strong commitment to data quality.
• Resilient and adaptable, with the ability to work comfortably in ambiguous and changing environments.
• Results-oriented, with a proven ability to deliver projects from concept through to completion.
• Intellectually curious, with strong analytical and problem-solving abilities.
• Maintains high standards and persists in finding the right answers.
• Acts with urgency and takes ownership, rather than waiting for others to resolve issues.