Decision Analytics Associate Consultant/Real World Evidence (Pune, India)
Pune, India
5d ago

Decision Analytics Associate Consultant / Real World Evidence (Pune, India)

ZS is a professional services firm that works side by side with companies to help develop and deliver products that drive customer value and company results.

From R&D to portfolio strategy, customer insights, marketing and sales strategy, operations and technology, we leverage our deep industry expertise and leading-edge analytics to create solutions that work in the real world.

Our most valuable asset is our people a fact that’s reflected in our values-driven organization in which new perspectives are integral and new ideas are celebrated.

ZSers are passionately committed to helping companies and their customers thrive in industries ranging from healthcare and life sciences, to high-tech, financial services, travel and transportation, and beyond.

ZS’s India Capability & Expertise Center (CEC) houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru.

Our teams work with colleagues across North America, Europe and East Asia to create and deliver real world solutions to the clients who drive our business.

The CEC maintains standards of analytical, operational and technological excellence across our capability groups. Together, our collective knowledge enables each ZS team to deliver superior results to our clients.

ZS's Business Analysis group designs and delivers solutions to help our clients tackle a broad range of business challenges.

Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.


Decision Analytics Associate Consultants (DAACs) design and execute analyses to address business problems for our clients and project teams.

DAACs leverage their analytic skills to find data-driven insights that help our clients solve their most important business problems, and engage with clients to help them understand the implications and make plans to act on them.

Responsibilities :

  • At least 3 years of hands-on experience on retrospective data analysis using Real World Data in Pharma and Healthcare
  • Program solving and insights generation should be of quantitative mindset to understand client requirements, should be able to formulate data-driven approach for solving business problem, break down the approach into small logical components, conduct analysis, infer insights and storyboard the results
  • Knowledge of various RWD sources and basic POV on pros / cons of each data-sources
  • Exploratory data analysis ability to conduct EDA to assess the feasibility of conducting study using RWD
  • Nice to have hands-on experience working on RWD based Observational studies to generate data evidence including but not limited to clinical, payer contracting, epidemiological use-cases
  • Nice to have experience of Literature review ability to execute systematic, quick and relevant literature review and to formulate POV on analytical techniques & methodology implemented
  • Ability to contribute to the write-up and review of the study and / or model description, including relevant portions of protocols, manuscripts, abstracts, posters, slide presentations, as needed
  • Strong verbal and written communication ability
  • Ability to guide the team-members and work closely with them to define and achieve the daily milestones
  • Need to have strong sense of time urgency and the ability to handle and deliver with tight project timelines as needed
  • Ability to handle multiple tasks and projects and maintain a clear tracking and documentation
  • Qualifications :

  • Bachelor's or master's degree in any discipline, and strong academic performance with analytic and quantitative coursework is required;
  • 2 - 4 years of relevant post-collegiate job experience (3+ years for candidates with bachelor’s degree) with domain knowledge / expertise in Healthcare / Life Sciences / Med Tech is preferred
  • Experience in working with real world data sources such as patient claims data, EMR, consumer data etc.
  • Proficiency in hands on programing in SQL and advanced SQL
  • Proficiency in MS Excel
  • Hands on experience in either R / Python
  • Working knowledge of basic Statistics including first order descriptive statistics, types of distributions, hypothesis testing, statistical significance, probability distributions etc.
  • Knowledge of different retrospective RWD (Real World Data) databases such as Truven, Optum, Symphony etc.
  • Good to have experience of bio-statistical techniques such as Survival analysis, Matching techniques such as Propensity score Matching and Case Control, Linear and Logistic regression
  • Fundamental understanding of standard predictive and classification models; when to use and how to interpret results
  • ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable.

    Candidates must possess work authorization for their intended country of employment. An on-line application, including a cover letter expressing interest and a full set of transcripts (official or unofficial), is required to be considered.

    ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.

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