Data Analyst

The interview process at PharmaForceIQ typically begins with a timed online aptitude test covering quantitative, logical and data‑interpretation questions. Successful candidates move to a technical interview where they solve SQL queries, Python data‑manipulation tasks, and discuss a mini‑case study related to healthcare analytics. The final HR round focuses on cultural fit, communication skills and career aspirations. Overall difficulty is moderate, and thorough preparation of core analytics concepts and real‑world case studies helps candidates stand out.

PharmaForceIQ promotes a collaborative and innovation‑driven environment where employees are encouraged to experiment with new ideas. The company offers flexible work‑from‑home policies, regular learning sessions, and clear growth pathways, ensuring a healthy work‑life balance while fostering professional development.

Graduates (B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent) from any stream with a minimum of 60% aggregate. No active backlogs at the time of joining. Candidates from the 2024‑2026 batch are preferred. Strong analytical mindset and willingness to learn are essential.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL/Python & case study) → Round 3: HR Interview

PharmaForceIQ is a cutting‑edge real‑time customer engagement platform built exclusively for the life‑sciences sector. The company brings together marketing strategists, digital innovators, life‑science experts and technology professionals to help pharma brands interact with healthcare professionals and patients in a faster, data‑driven manner. By leveraging AI‑enabled optichannel execution, PharmaForceIQ transforms traditionally siloed outreach into agile, measurable campaigns that deliver tangible ROI. The firm’s culture is rooted in curiosity, continuous learning and a relentless focus on impact, making it an attractive destination for fresh talent eager to contribute to the evolving healthcare ecosystem. As a Data Analyst at PharmaForceIQ, you will be the analytical backbone of the platform, turning raw interaction data into actionable insights for brand managers, sales teams and product strategists. You will work closely with cross‑functional teams—product, engineering, marketing and client services—to understand business problems, design analytical solutions, and communicate findings that drive strategic decisions. This role offers a unique blend of exposure to healthcare data, AI‑driven tools, and real‑world business outcomes, providing a solid foundation for a long‑term career in data analytics within the life‑sciences domain. Key Responsibilities: 1. Collect, clean, and validate large datasets from multiple sources including CRM, digital touchpoints and third‑party health databases. 2. Perform exploratory data analysis to uncover trends, patterns and anomalies relevant to client campaigns. 3. Develop and maintain interactive dashboards using Tableau/Power BI for internal stakeholders and external pharma clients. 4. Write efficient SQL queries and Python scripts to extract, transform and load (ETL) data for reporting. 5. Conduct statistical analysis and hypothesis testing to measure campaign effectiveness and ROI. 6. Collaborate with product managers to define key performance indicators (KPIs) and build predictive models where applicable. 7. Prepare concise, visual reports and presentations that translate complex data into clear business recommendations. 8. Ensure data governance, security and compliance with industry regulations such as HIPAA and GDPR. 9. Stay updated with emerging analytics tools, AI techniques and industry best practices to continuously improve analytical workflows. 10. Mentor junior analysts or interns on data handling best practices and analytical thinking. Tech Stack: SQL, Python (pandas, numpy), Excel, Tableau/Power BI, Git, AWS S3, basic knowledge of machine‑learning libraries (scikit‑learn) is a plus. Growth Path: Starting as a junior analyst, you can progress to Senior Data Analyst, then to Analytics Lead or Product Analytics Manager, eventually moving into data science or strategic roles within PharmaForceIQ’s expanding analytics practice. Why Join: You will work on real‑world healthcare data that directly influences patient outcomes, enjoy a flexible remote setup, receive mentorship from industry veterans, and benefit from a competitive salary package of 4.25 LPA. The company’s emphasis on AI‑driven solutions and data‑centric culture ensures rapid skill development and clear career progression.