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Analysing Large Scale Marketing Datasets

  • Posted:
  • Proposals: 28
  • Remote
  • #4521088
  • Expired
Aurel H.Obaid U.AccuBridgeMohsin A.Iyanu A. + 23 others have already sent a proposal.
  • 2

Description

Experience Level: Expert
I’m seeking a skilled data professional to support a marketing research publication. The task involves accessing and analyzing large, publicly available datasets—think Facebook or Google APIs, Kantar, World Bank data, and more. You’ll need expertise in Python or other large data analysis tools, and ideally machine learning. The ultimate goal is robust, reproducible insights into areas like influencer marketing, advertising, or brand behavior. If you can help source, analyze, and collaborate toward publication-ready output, I’d love to hear from you. Experience with large-scale marketing /consumer datasets is key. Possibility of co-authorship on the final paper exists for the right fit.

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Clarification Board Ask a Question

  • Shiv S.

    Please clarify below:

    Which specific datasets do you already have access to (API keys, Kantar license, etc.), and which do you need me to source or apply for?

    Is there a specific research question or hypothesis already defined, or is part of my role helping shape that?
    What's the target publication (academic journal, industry report, internal whitepaper)? This affects the rigor/format expected (e.g. peer-review-grade statistics vs. a marketing report).

    Do you need original data collection (scraping/API pulls) or is the analysis meant to run on datasets you already have compiled?

    What does "co-authorship on the right fit" mean concretely — is there a threshold of contribution, and is this instead of or in addition to paid compensation?
    What's the expected timeline, and is this a single paper or an ongoing research collaboration?

    Do you need the code delivered as a reusable pipeline/notebook, or is a one-time analysis with a written report sufficient?

  • M. C.

    Could you share a bit more about the specific research question, the datasets you plan to use or already have access to, the type of analysis and methodology you have in mind, and what the expected deliverables would be?