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Data Analyst at Ipsos


Short Description:

The Data Analyst position at Ipsos, located in Bengaluru, offers a dynamic role within the Healthcare division. As an Analytics Analyst, you will engage in large-scale modeling projects, utilizing advanced Python and/or R programming skills. The role involves collaborating with cross-functional teams, building and maintaining codebases, and providing valuable insights through effective communication. Ipsos seeks candidates with a bachelor's degree, a keen eye for detail, and proficiency in analytics. Additional advantages include advanced degrees, expertise in machine learning techniques, and familiarity with tools such as SQL and Git. This is an exciting opportunity for individuals passionate about analytics to contribute to impactful healthcare research projects at a globally recognized organization.


Role: Analytics Analyst

Location: Bangalore, India

Job Type: Full-time

About Ipsos: Ipsos is a global research company, unique in being primarily managed by researchers. We hold the position of a #1 full-service research organization for four consecutive years, providing over 75 data-driven solutions across 90 markets. Ipsos specializes in combining thematic and technical expertise to deliver high-quality research and insights, addressing complex problems for more than 5,000 clients globally. Ipsos has received the Great Place to Work Certification for 2022.

About Ipsos Healthcare: The Ipsos Healthcare division collaborates with pharmaceutical, biotech, medical device manufacturers, and technology companies across various stages of projects, from early-stage strategy to product launch and optimization. Beyond custom research, the Healthcare Service Line focuses on therapeutic centers of expertise in Oncology, Autoimmune, Virology, and more.

Responsibilities:

  • Modeling and Analysis:

    • Collaborate with team members to design and execute large-scale modeling efforts, encompassing programming, statistical analysis, and reporting.
    • Contribute to programming new data science products, translating client needs into analytic frameworks for polished applications.
  • Codebase Management:

    • Build, maintain, and enhance codebases supporting key applications.
    • Ensure the production of reusable and modular code in advanced Python and/or R programming.
  • Collaboration and Consulting:

    • Work in a highly collaborative, consensus-oriented environment.
    • Provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices.
  • Communication:

    • Communicate effectively, both in writing and verbally, conveying scientific concepts with attention to detail.
    • Support marketing science analyses for clients as needed.

Requirements:

  • Proficiency in advanced Python and/or R programming, demonstrating the ability to create and maintain reusable, modular codebases.
  • Bachelor’s degree.
  • Comfortable working in a highly collaborative, consensus-oriented environment.
  • Experience in analytics, extracting and presenting value from quantitative data.
  • Strong attention to detail, effective communication of scientific concepts, and excellent time-management skills.

Pluses:

  • Advanced degree (M.S., Ph.D.) preferred but not required.
  • Strong knowledge of the mathematical foundations of statistics and machine learning.
  • Familiarity with modern techniques and algorithms in machine learning and statistical computing (e.g., 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.
  • Previous success in 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).
  • Proficiency in large dataset manipulation, distributed storage, and computing.
  • Experience with JavaScript, especially visualization libraries (e.g., d3.js).
  • Ability to create and deploy web applications.
  • Experience in Linux server and system administration.
  • Background in Market Research.

This role at Ipsos offers an exciting opportunity to be part of a globally recognized research organization, contributing to impactful projects in the healthcare sector. If you are passionate about analytics, enjoy collaborating in a dynamic environment, and have a strong foundation in data science, we invite you to apply and be a valuable addition to our team.

Please click here to apply.

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