Analytics Associate (Analyst)
Level: 0–2 years' experience Location: Gurgaon/ Pune
What You'll Do
Your day-to-day will span the full analytics value chain - from raw data to boardroom-ready insights. Concretely, you will:
Learn deeply and question continuously
- Research therapy areas, competitive landscapes, and market dynamics to know more than the client in their own domain.
- Deep-dive into data anomalies to understand the reason behind the ripple - never stop at the surface.
- Actively seek out new analytical tools, AI-driven methodologies, and approaches to bring fresh thinking to familiar problems.
Let the data lead
- Analyze complex, multi-source datasets and extract insights that are grounded in evidence, not assumptions.
- Present findings that challenge the client's internal hypothesis when the data calls for it - with clarity, confidence, and respect.
- Own your mistakes: when something goes wrong, flag it immediately and work collaboratively to fix it.
Go beyond the ask
- Translate analytical outputs into clear, actionable business recommendations - every chart needs a 'So What?'
- Build visually compelling, insight-driven deliverables (dashboards, models, slides) that clients actually use.
- Understand the 'Why' behind each project request, not just the 'What', to ensure every analysis connects to a real business need.
Be a great teammate
- Collaborate closely with onshore and offshore team members - seek to understand both the data and the market, not just your slice.
- Contribute actively in internal reviews and invite feedback from peers and senior colleagues alike.
- Step in to support teammates when deadlines are tight, regardless of whose name is on the deliverable.
What You'll Bring
Required
- 0–2 years of experience in analytics, data science, or a related field (internships and academic projects count).
- Solid foundation in at least one analytical tool: SQL, Python, R, Excel, or Alteryx.
- Strong analytical thinking — you naturally ask 'why' and 'so what?' when you see data.
- Ability to communicate complex findings clearly, both in writing and visually (PowerPoint, Tableau, PowerBI or similar).
- Collaborative mindset with the ability to work across global, cross-functional teams.
Preferred
- Exposure to the US pharmaceutical or life sciences market.
- Knowledge of visualization tools such as Tableau, Qlik, or Power BI.
- BE/BTech/BS in Statistics, Mathematics, Engineering, or a related quantitative field.
- MTech/MS (Statistics or Data Science) is a plus.
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