Data Analytics Associate

Data Analytics Associate

Location: - Vadodara, Gujarat, INDIA   

Type: - Full Time

Min Experience: - 1-2 years

Do you like solving unstructured problems? Does the thought of digging into data and gleaning insights excite you? Do you like to challenge the status quo? Are you always looking for the next step to optimize processes? Are you enthusiastic about learning every day as a part of your job? If your answer to all the questions is ‘YES’, you should consider a career with KMK Consulting Inc within the Life Science Commercial Practice.

KMK is a global data analytics and technology consulting firm empowering leaders across the Life Sciences industries to make better data-driven decisions.

We guide pharmaceuticals companies to determine and implement their business strategy. We are experts at setting up efficient operations using years of experience. We help clients make informed, data-driven decisions by using cutting edge analytics using the broadest set of pharmaceutical data sources. Our insights are combined with deep technical and domain expertise. We enable commercial excellence by delivering actionable analytical guidance to the field through SalesOps™, our cloud-based sales planning, and operations platform.

Overview: -

We are looking for a Data Analytics Associate skilled in data mining, reporting, and analytics. In this role, you will closely be working with the Commercial Analytics leadership team to support sales-related analytics, field reporting, and more.

Responsibilities include but not limited to:

• Work with clients and USA teams to understand the business problem, develop data models and analysis to find relevant insights
• Solve interesting, unstructured problems on a daily
• Support the commercial team for ad-hoc business queries, hypotheses testing, build executive dashboards for senior leadership and field reporting
• Optimize established processes for data mining and reporting
• Establish strong data quality checks to ensure accuracy in internal processes and deliverables

Requirements: -

• Bachelor’s/Master’s degree in Maths/Statistics/Data Science/Computer Science or related fields from a reputed institute, with strong academic credentials.
• Strong Python, SAS, or R programming skills
• Knowledge of the USA Pharmaceutical landscape is a must
• Familiarity with pharmaceutical data sources such as Xponent, APLD, DDD, HCOS (from IMS or Symphony), Specialty Pharmacy Data, Calls, and Samples.
• Analytical problem-solving skills, able to process and manipulate large data sets, analyze and distill data sets into meaningful information.
• Strong working knowledge of the Microsoft Office Suite especially Advanced Excel.

• Experience building dashboards using Tableau/Alteryx/Qlik is a plus

Benefits & Perks

• Opportunity to work with scalable and enterprise-level technologies.
• A challenging, transparent, and supportive work environment with opportunities to learn every single day
• Competitive compensation, health insurance, paid time off