Analyst/ Associate Consultant - Pharma Analytics

Aspectratio; Pune District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

A leading analytics firm in Pune is looking for experienced candidates to join their team in Data Science. The role involves working with large pharma datasets, requiring proficiency in SQL. Candidates should have a 4-year Engineering degree, with an MBA or specialized coursework in Data Science being a plus. Responsibilities include structuring business problems, executing solutions, and analyzing data to discover patterns. This position is office-based in Pune, as WFH roles are not offered.

Qualifications

• 1-5 years of experience working with large datasets using SQL/SAS.
• Proficiency with Excel and/or VBA is a plus.
• Work experience in Pharma/Healthcare.

Responsibilities

• Structure an ambiguous business problem and devise a solution.
• Execute the solution in the best possible tool or platform.
• Dive deep into data, analyze and discover patterns.

Skills

SQL

Experience with large datasets

Excel

VBA

Education

4-year Engineering degree

MBA or coursework in Data Science

Job description

Aspect Ratio is rapidly expanding in the space of Analytics & Data Science and we're looking for experienced candidates to be part of our team. The position requires you to be comfortable working with large pharma datasets and have hands‑on experience with SQL.

IMP NOTE: Our office is in Pune city. We do not offer WFH roles.

Qualification: 4-year Engineering degree. An MBA or any specialized coursework in Data Science is a plus. Work experience in Pharma/Healthcare.

Experience: 1-5 years of experience working with large datasets using SQL/SAS. Proficiency with Excel and/or VBA is a plus.

Areas of delivery for the team include:

• Use transaction-level datasets to answer business questions
• Build predictive models to drive business decisions
• Automate existing process to drive efficiency

Responsibilities of the individual include:

• Structure an ambiguous business problem and devise a mathematical and/or programming solution
• Execute the solution in the best possible tool or platform
• Dive deep into data, analyze and discover patterns/root causes
• Design robust and scalable prediction algorithms