Indegene | Jobs | Senior Analyst – (Power BI & SQL / Python, R/ HEOR) | BigDataKB.com | 27-03-22

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Job Location: Bangalore/Bengaluru

Roles and Responsibilities

Core Skills:

  • o Data processing and transformation
  • o Data and Quantitative Analysis
  • o Descriptive, predictive and prescriptive analysis
  • o Statistical inferencing
  • o Decision Analytics
  • o Predictive Modeling
  • o Data Mining
  • o Pattern recognition
  • Technical Skills:

  • o Python, R
  • o SQL
  • o SAS
  • o Advanced Excel
  • o Power BI/Tableau
  • Knowledge/ experience requirement:
  • o Bachelorโ€™s or Masterโ€™s degree in Statistics, biostatistics, epidemiology or related discipline with 5 years of experience in utilizing large scale data research, predictive modeling, statistical analysis, data transformation and / or other analytical role developing insights for use in business decisions

    o Prior relevant experience with healthcare data working as a statistician in a consultancy, CRO or pharmaceutical /biotech

    o Experience with Bayesian statistics, generalized linear models, (network) meta-analysis, survival analysis, propensity score matching

    o Good exposure to US and global markets with a strong grasp of the fundamental concepts pertaining to HEOR

    o Strong understanding of economic and predictive modeling approaches and tools and their application to business problems

  • o Strong background in data mining techniques such as generalized linear modeling, decision trees, association rules, clustering, regression, Random Forest, XG Boost algorithm, Propensity score matching techniques, meta-analysis, network meta-analysis, Machine learning algorithms (Linear regression and Logistic Regression), probability networks, and neural networks
  • o Bio statistics (Survival analysis: Kaplan Meier curves, Cox PH models)
  • o Identify the key objectives and outcomes of the study and develop detailed statistical analysis plan

    o Good knowledge on Data Visualization Tools

  • o Ability/Desire to learn new skills and technologies quickly
  • o Ability to share recommendations to audiences at varying levels of analytic understanding
  • o Attitude to work well as a team member and to build and manage relationships in a multi-cultural environment

  • o
  • Roles and Responsibilities

    Generic:

    Work with clients to construct business problems, develop data models and algorithms that deliver meaningful insights to drive business solutions

    Provide statistical analysis services related to HEOR. Fulfill the responsibilities of study statistical analyst as required

    Identify data sets required to develop predictive models for solving business problems

    Explore existing data and recommends additional sources of data for improvements

    Wherever applicable, develop, validate and finalize the study specific list of table and table shells for HEOR study reports and for study specific deliverables

    Wherever applicable, provide input in finalization of study specific data quality control plan and ensure appropriate data analysis and reporting

    Involve in creation and dissemination of study findings through technical papers, posters and presentations

    Support the development of proposals for new projects/ opportunities

    Should be a self-starter and capable of operating on minimal management oversight

    Ability to work under pressure to meet agreed deadlines

    Project specific:

    Manage the entire cycle end to end – Definition of business questions and hypotheses, to data sourcing and preparation, model development, and insight generation.

    Should be fully independent in data analytics

    Identify all the available data and extract data in a usable format.

    Wrangle, Clean, and analyses the data using programming routines (R, Python) to develop datasets.

    Develop data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs

    Perform required analysis on data sets and develop algorithms and predictive models to derive insights and business value from data

    Coordinate with different functional teams to implement models and monitor outcomes

    Create data visualization and stories to effectively communicate analytical results, key insights to support business decisions

    Present results, summaries, and analytical techniques to clients.

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