Work closely with marketing teams to understand data needs and provide actionable insights.
Create visualizations to present data findings in a clear and actionable manner.
Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
Strong foundational understanding of regression analysis, including the ability to interpret coefficients meaningfully in both statistical and business contexts, Hands-on experience building marketing mix models, with a strong understanding of marketing performance measurement
Ability to diagnose and address multicollinearity among correlated marketing variables and understand its impact on model reliability
Understanding how to model interaction effects to capture how different factors amplify or diminish one another
Awareness of biases that arise from unobserved factors, such as omitted variable bias, reverse causality, or simultaneity, and familiarity with strategies to mitigate them
Understanding of good and bad control variables in regression modeling; ability to distinguish between confounders, mediators, colliders, or post-treatment variables. Ability to identify and avoid spurious regression, familiarity with causal inference techniques and proficiency in Python, and SQL
Desirable Requirements
Bachelor's degree in Statistics, Econometrics, Data Science, Computer Science, or a related field; Master’s degree preferred Bachelor’s degree in Data Science, Computer Science, or related field; advanced degree a plus.
Experience with machine learning algorithms and their application in marketing and maintaining version control of artifacts (GitHub, GitLab)
