Adobe Analytics Consultant

We are looking for

• Seeking a talented analytics professional who thrives at the intersection of data, purchase behavior, marketing, product, and engineering.
• The ideal candidate will have a strong technical and analytical background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes.
• Strong time management and communication skills are critical.
• Hands-on with creating and measuring KPIs using Adobe Analytics eVars, Props, and Events.

• Experience finding and manipulating data to build data sets with Adobe Analytics.
• Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of digital product development and marketing efforts of the business.
• Translate data insights into actions and recommendations that will drive user growth and engagement while improving marketing effectiveness.
• Communication skills and stakeholder management.
• Experience translating quantitative findings into actionable insights and influencing business decisions.
• This role will work cross-functionally with marketing, product, data engineering, and research teams to provide insightful analytics and make business recommendations.

• At least 4 years of hands-on experience with Adobe Suite (e.g. Adobe Analytics, Adobe Experience Platform, etc.).
• Advanced experience using SQL to process/format data outside of Adobe (must).
• 4 years of experience with data analysis, decision science, or similar quantitative fields.
• A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands.
• 3-6+ years of experience with hands-on data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer, user growth, and outbound marketing campaign evaluation.
• An MBA or Master's degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands.
• Management consulting experience or a similar career requiring one to present data-driven insights to business audiences.