Data analyst

What the Candidate Will Do:
- Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
- Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
- Utilize programming languages (Python, R, SQL), statistical packages (Sci Py), and Google tools (Big Query, Tensor Flow, Data lab) to prototype and deliver data-driven solutions.
- Recommend and develop technical solutions with guidance from senior leadership.
- Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
- Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
- Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
- Collaborate with regional leadership on process development, improveme...