Leverage data, experimentation, analytics, and statistical approaches to effect digital transformation.
Lead exploratory efforts developing insights and machine learning solutions.
Design and facilitate A/B tests and other experiments end-to-end.
Manage timeline, effectively progress efforts, and communicate findings.
Collaborate with stakeholders to ensure request and goals are clear.
Independently drive data mining processes iteratively with business engagement to deliver analytic results.
Understand business problems and data necessary for optimization.
Maintain project plans to anticipate resource needs, mitigate risks, and deliver on time.
Work with multi-discipline teams to blend testing and analytics with business acumen.
Design experiments ensuring sound methodology and alignment with goals.

Bachelor's Degree in Marketing , Business Analytics, Mathematics, Statistics, Data Science, Business, or related course of study required .
Related Master's Degree a plus.
7+ years of relevant experience in data analysis with advanced SQL programming skills, high level of independence required.
5+ years of experience using data to conduct experiments, supporting experimentation and optimization: A|B, split, multivariate analysis with proven track record of setting up A / B testing and generating insights out of their significance.
5+ years’ experience and proficiency in SQL, Python along with data visualization tools.
3+ years of demonstrable experience with web tools including Adobe Analytics, Google Analytics preferred.
3+ years of work experience in (Digital) Marketing alongside working with product leads, product managers, software engineering and user experience design teams.
Advanced analytics and data mining: the ability to apply appropriate analytical techniques to answer the business questions providing actionable insights.
Strong communications skills: Excellent oral and written communication skills including active listening.
A team orientation: strong interpersonal and collaboration skills, with the ability to network with internal business partners across the organization.

Senior Data Engineer, Data Science

Key skills