Analyst/ Associate Consultant - Pharma Analytics

Aspectratio; Pune District; In loco; INR 600.000 - 1.000.000; Tempo pieno

Descrizione del lavoro

A rapidly expanding analytics firm in Pune is seeking experienced candidates to work with large pharma datasets. The ideal applicant should possess a 4-year Engineering degree and have 1-5 years of experience in data handling using SQL. Responsibilities include structuring business problems, analyzing data, and designing robust algorithms. This role does not offer remote work options and is focused on delivery in an office environment.

Competenze

• 4-5 years of work experience in Pharma/Healthcare.
• Hands-on experience with large pharma datasets.

Mansioni

• Structure ambiguous business problems and devise solutions.
• Execute solutions using the best possible tools.
• Analyze data to discover patterns and root causes.
• Design robust and scalable prediction algorithms.

Conoscenze

SQL

Data Science

Excel

VBA

SAS

Formazione

4-year Engineering degree

MBA or specialized coursework in Data Science

Descrizione del lavoro

Aspect Ratiois rapidly expanding in the spaceof Analytics & Data Science and we're looking for experienced candidates tobe part of our team. The position requires you to be comfortable working withlarge 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 orany specialized coursework in Data Science is a plus. Work experience inPharma/Healthcare.

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

Areas of delivery for the team include:

• Usetransaction-level datasets to answer business questions
  
• Buildpredictive models to drive business decisions
  
• Automateexisting process to drive efficiency
  

Requirements

Responsibilities of the individual include:

• Structurean ambiguous business problem and devise a mathematical and/or programmingsolution
  
• Executethe solution in the best possible tool or platform
  
• Divedeep into data, analyze and discover patterns/root causes
  
• Designrobust and scalable prediction algorithms