Data Analyst

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Contractual

Job Description

This is contract to hire opportunity with 3+ years of experience onwards., If you are interested pls share your resume to Karthik.Ravichandran@hays.com.au with below details.


Over all exp;

Relevant exp;

Current location;

CCTC;

ECTC;

Notice period;



Essential for the role

  • Quantitative bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master’s, MBA or PhD).
  • 3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
  • Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
  • Data Mining, Predictive Modelling & Machine Learning algorithms.
  • Optimization & Simulation.
  • 3+ years of recent experience and proficiency with PySpark, Python, R, SQL.
  • Working knowledge of data visualization – PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.
  • Working knowledge on platforms like DataBricks.
  • Experience in MS Office products - Excel and PowerPoint skills required.
  • Expertise in managing and analyzing a range of large, transactional databases is required.
  • Statistical analysis and modelling background
  • ML a plus
  • Experience with IQVIA data sets.
  • Ability to derive, summarize and communicate insights from analyses.
  • Organization and time management skills.

Desirable

  • Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
  • Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
  • Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.
  • Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.
  • Knowledge of AZ brand and Science (Oncology in particular).
  • Experience using Big Data, is a plus. Exposure to SPARK is desirable.
  • Should have Excellent Analytical, Problem-Solving ability. Should be able to grasp new concepts quickly


⭐ Ideal Candidate Summary – Brand Analytics / Data Analyst (3–7 yrs)

  • The ideal candidate is a

    data-driven analytics professional

    with 3–7 years of hands-on experience in

    advanced statistical modelling, predictive analytics, data mining, and machine learning

    , preferably within the

    pharma or commercial analytics

    domain. They should have strong expertise in

    Python, PySpark, R, SQL

    , and experience working with large, complex datasets, especially

    IQVIA

    or other healthcare datasets.
  • They bring a strong foundation in

    statistical methods

    (regression, time series, DOE, Bayesian approaches), along with experience in

    optimization, simulation

    , and building predictive/prescriptive models. The candidate is comfortable working on platforms like

    Databricks

    and creating impactful visualizations using

    PowerBI, Tableau, Qlik

    , or similar tools.
  • They function as a

    proactive internal consultant

    , partnering closely with Marketing, Sales, Medical, Market Access, and Commercial teams to drive

    customer segmentation, targeting, ROI analysis, forecasting support, HCP/patient analytics, resource allocation

    , and

    market simulations

    . They excel at converting complex analysis into clear business insights and influencing stakeholders through strong storytelling and presentation skills.
  • The ideal candidate demonstrates

    strategic thinking

    , excellent communication, strong business acumen, and the ability to manage multiple analytical projects simultaneously. Experience in

    pharma/oncology

    , exposure to

    big data technologies (Spark)

    , and knowledge of US commercial datasets is a strong plus. They stay current with new analytical techniques, champion continuous improvement, and contribute to elevating analytic capabilities across the organization.

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