Lead Analyst

About Pharmeasy:

PharmEasy is Pharmacy made Easy. As one of the largest pharmacy aggregators in India, we connect patients with local pharmacies and diagnostic centers to meet their comprehensive medical needs. We believe in accessible, quality healthcare for everyone. Our services ensure access to genuine health products with substantial savings delivered in the shortest time possible, across 710+ cities including Mumbai, Delhi, Kolkata, Pune, Bengaluru, Jaipur, Thane, and Ahmedabad.

Job Title: Lead Analyst

Location: Bengaluru/ Mumbai

Job Type: Full-Time

Job Summary:

We are seeking a dynamic and experienced Lead Analyst to join our fast-paced organization. In this role, you will collaborate closely with business and product stakeholders to drive data-driven solutions that address complex business challenges. The ideal candidate will possess a strong foundation in analytics and applied data sciences, along with hands-on experience deploying solutions in real-world settings. If you have a passion for data, experience with data visualization, and leadership experience, this is an exciting opportunity to make a significant impact within our growing team.

Key Responsibilities:

• Lead and manage a team of 4-5 data analysts providing direction, mentorship, and project oversight.
• Collaborate with business, product, and cross-functional teams to translate business challenges into data-driven solutions.
• Develop, implement, and optimize advanced analytics, statistical models, and machine learning algorithms to solve complex business problems.
• Hands on Knowledge on Machine Learning, Artificial Intelligence and Data Science Algorithms.
• Good experience in Product Analytics.
• 
  Create and maintain robust data models and dashboards to provide accurate, reliable metrics and KPIs that support decision-making across the organization.
• Utilize data visualization tools (e.g., Metabase, Tableau, Power BI, etc.) to transform complex data sets into compelling and easily understandable reports for both technical and non-technical stakeholders.
• Drive end-to-end project execution, including data collection, cleaning, analysis, visualization, and delivery of actionable insights.
• Ensure data integrity and validation across all analyses and projects.
• Leverage SQL and Python to perform data wrangling, complex analysis, and build predictive models.
• Utilize your strong understanding of statistics, probability, and machine learning to design and deliver impactful solutions.
• Stay updated on the latest advanced analytics methodologies and tools, applying them to improve processes and strategies.
• Manage project timelines, resources, and stakeholder expectations to ensure successful and timely delivery of insights.

Qualifications:

• Experience: Minimum of 4+ years of relevant experience in analytics, data science, or a related field, preferably in high-paced, fast-growing organizations.
• Education: Bachelors or Masters degree in Engineering, Applied Mathematics, Statistics, Data Science, or any other quantitative field.
• Technical Skills: Proficient in SQL and Python for data manipulation, analysis, and building data models and ML models.
• Data Visualization & Reporting: Proven experience in data modeling and visualization tools (e.g., Metabase, Tableau, Power BI) to build dashboards and reports that inform decision-making.
• Statistical Knowledge: Strong understanding of statistics, probability, and common machine learning algorithms.
• Real-World Deployment: Experience developing and successfully deploying analytical and machine learning solutions in real-world settings.
• Team Management: Proven experience in managing mid-sized teams (4-5 members) and overseeing multiple projects.
• Stakeholder Collaboration: Ability to work closely with business and product stakeholders to deliver data-driven insights and solutions.
• Experience : Experience in a eCommerce environment is a must.
• Advanced Degree (Preferred): A Masters degree in Business Analytics, Data Science, or a related quantitative field is a plus.

Why Join Us:

• Be part of a fast-growing, innovative company with opportunities to work on exciting projects.
• Collaborate with diverse teams and contribute to critical business decisions.
• Drive meaningful change and create impact through data.
• Competitive salary and benefits package.