Associate, Marketing Science & Technology - Beauty Co-Lab : Job Details

Overview

As an associate, you will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will work to identify new reporting needs, automate recurrent report requests where possible, identify data trends, and propose changes to improve the quality of the information that is processed. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insight.

Areas of Responsibility:

• Production of campaign reports and analyses according to measurement plans
• Development of observations and actionable insights around campaign results
• Data storytelling of results and analyses in presentation decks/slides
• Consolidation of learnings across similar campaigns
• Identification of opportunities to automate any/all analyses and identify processes for efficiencies
• Maintenance of data systems and processes used for reporting and ongoing data analysis
• Development of dashboards in visualization tools such as Tableau/QlikView/Looker
• Ongoing data QA to ensure data used for reporting and analysis is accurate

Education:

• Bachelor's degree in Statistics, Math, Business, Marketing, Economics, Social Science or other related field of study is required at a minimum

Requirements:

• 1-2 years of experience working in a data-driven field, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
• A strong desire to learn and passion for digital marketing, research, and analytics
• Ability to work well with others and work in cross-functional teams
• Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
• Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
• Strong attention to detail

Desired Technical Skills:

These technical skills are listed to give you a general idea about the tools and techniques we use. The tools and techniques you will be using in your specialization unit will be a subset of the below.

• Strong proficiency with MS Excel, PowerPoint, or Keynote are a must
• Experience/familiarity in ad-serving and web analytics tools (Google DFA, Atlas, Google Analytics, Omniture, etc.)
• Experience or familiarity with syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
• Experience or familiarity with digital ad effectiveness research
• Experience or familiarity with visualization tools such as Tableau/QlikView are a plus
• Experience in R, SAS, Python, or other advanced analytics software packages is a significant plus
• Experience/familiarity with concepts of database design and SQL are a plus
• Familiarity with web technologies including HTML and JavaScript