Business Analyst – PharmEasy

The Business Analyst role entails close collaboration with business and product teams, aiding them in making informed decisions through data analysis. This involves independently comprehending the business problem statement and translating it into analytics requirements, ranging from data modeling and dashboard creation to hypothesis testing and advanced statistical or machine learning projects. Additionally, Business Analysts are tasked with sharing insights, learnings, and recommendations derived from their analyses.

Detailed Responsibilities:

• Translate business requirements into analytics solution designs, outlining success criteria.
• Extract and explore data from various sources, including data warehouses.
• Conduct data modeling and data wrangling to prepare for analysis.
• Define key performance metrics and develop intuitive dashboards for tracking.
• Generate an extensive list of hypotheses and conduct hypothesis testing to derive meaningful insights.
• Develop statistical or machine learning models for deeper problem-solving when necessary.
• Script automation for periodic tasks like dashboard refresh or model inference.
• Collaborate with the data engineering team to establish data ingestion processes if needed.
• Regularly present and share dashboard insights or project results with stakeholders.
• Ensure project outputs are of high quality, actionable, and consumable, taking corrective measures as needed.
• Regularly document and share knowledge within the team.
• Understand and capture business requirements from business or product teams effectively.

Key Qualifications:

• 2-4 years of relevant work experience in a technology-driven company.
• Strong communication and articulation skills, capable of independently interfacing with stakeholders.
• Advanced proficiency in SQL is essential.
• Beginner to Intermediate proficiency in Python or R programming.
• Prior experience with common BI tools such as Tableau, PowerBI, Microstrategy, Metabase, etc.
• Comfortable utilizing spreadsheets for quick analysis, pivoting, and exploration.
• Basic automation skills using Google scripting or Microsoft VBA.
• Proficiency in deeper business problem-solving, demonstrating an ability to explore data in line with business needs.