Analytics Analyst

 

Location: Bangalore

Division: Ipsos Healthcare

 

Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5,000 clients across the globe by providing research, data, and insights on their target markets. And we're proud to share we've received our Great Place to Work Certification for 2022!

 

About Healthcare:

The Healthcare Service Line works with Pharmaceutical, biotech, medical device manufacturers and technology companies throughout the project lifecycle from early-stage strategy, to launch of a new product, to product optimization.  In addition to custom research, the healthcare Service Line also works on therapeutic centers of expertise in Oncology, Autoimmune, Virology and more. 

 

As an Analytics Analyst, you will:

Work closely with team members on design and execution of large-scale modeling efforts, including programming, statistical analysis, and reporting. Collaborate on programming new data science products by translating needs identified with clients into analytic frameworks that can be developed into polished applications. Build, maintain and enhance codebases underlying key applications. Support other marketing science analyses for clients as required. Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices.

 

Requirements:

Proficiency in advanced Python and/or R programming, including the ability to produce and maintain reusable and modular codebases. Bachelor’s degree Comfortable working in a highly collaborative, consensus-oriented environment. Experience in analytics, extracting and surfacing value from quantitative data. Strong eye for detail, ability to communicate scientific concepts both in written form and verbally, and excellent time-management skills.

 

 

 

Pluses:

Advanced degree (M.S., Ph.D.) is preferred, but by no means required. Strong knowledge of underlying mathematical foundations of statistics and machine learning Experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, network analysis, Monte Carlo, agent-based models, Bayesian modeling, data fusion, drivers analysis, neural networks, and genetic algorithms. Working knowledge of SQL Prior success designing and deploying machine learning solutions in large-scale production environments. Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git). Large dataset manipulation. Experience in distributed storage and computing. Experience with JavaScript, esp. visualization libraries (e.g. d3.js). Experience creating and deploying web applications. Experience with Linux server and system administration. Experience in the field of Market Research.