Quantitative Data Analysis Expert

1 week ago

Melbourne, Victoria, Australia beBeeResearch Full time $75,000 - $95,000
Marketing Sciences Research Analyst

We are seeking a highly skilled Research Analyst to join our team.

As a Research Analyst, you will be responsible for delivering complex statistical analysis, advanced modelling and practical visualisation of data across a range of techniques. This is not a back-room Analyst role, but rather a consulting position where you will act as an internal advisor to your strategic insights colleagues and to external clients.

This opportunity is ideal for a Marketing Analyst looking to develop their skills in an integrated way on market research projects from proposal to data delivery.

About the Opportunity

Our team provides evidence-based insights to client organisations to help them make informed business and marketing decisions. We work with top-tier brands requiring customized, full-service research solutions.

As a Research Analyst, you will have access to a variety of quantitative research projects and methodologies, including brand equity, communications strategy development, product optimisation, customer targeting, customer journey and customer experience.

What You'll Get:

  • A national, Marketing Sciences team to collaborate with.
  • A B-Corp that prioritises positive impact on society, the community and the planet.
  • Structured training and development opportunities.
  • Access to industry-leading tools – Q, SPSS, DisplayR, PowerBI.
  • Unmissable employee benefits, including a rich learning & development program, market-leading parental leave and wellbeing support.
  • Hybrid working arrangements (2 days in office or more if desired).

Requirements:

  • Experience with consumer survey data at a leading market research agency.
  • 1-3 years + experience in complex data analysis and visualisation.
  • Knowledge of choice modelling, customer segmentation modelling, regression modelling etc.
  • Competency in SPSS/Q and exposure to R/Python/Sawtooth.
  • Familiarity with BI/Dashboarding tools like Tableau and DisplyR.

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