FAQs
What is the job title for this position?
The job title is Sr. Analyst, Marketing Analytics.
What are the main responsibilities of the Sr. Analyst, Marketing Analytics?
The main responsibilities include maintaining and enhancing reporting for consumer-driven promotions, creating customer segments, supporting marketing initiatives, providing deep dive analyses into customer base, enhancing predictive models, executing pre/post campaign analysis, and responding to ad hoc requests for analysis.
What educational qualifications are required for this position?
A university degree in Mathematics/Statistics, Marketing, Business Intelligence or a related field is required.
How many years of experience are needed for this role?
A minimum of 4+ years of experience in database marketing and/or business intelligence is required, along with 3+ years of experience using tools such as SQL, Python, R, and Tableau.
Are there opportunities for career development in this role?
Yes, the position offers opportunities for collaboration with cross-functional teams and the chance to provide actionable insights that drive business change.
What skills are essential for the Sr. Analyst, Marketing Analytics position?
Essential skills include strong experience in advanced analytical models, excellent business and marketing analysis skills, proficiency in visual analytics tools like Tableau, data blending tools like Alteryx, and strong communication skills.
Does this position require any travel?
Yes, there may be limited travel to store locations as needed.
Is there any leadership experience required for this job?
Leadership experience is an asset but not strictly required.
What type of team environment can the Sr. Analyst expect to work in?
The Sr. Analyst can expect to work in a collaborative team environment, requiring strong communication and teamwork skills.
Are there any specific tools or technologies that candidates should be familiar with?
Candidates should be familiar with cloud platforms, dashboarding tools such as Tableau or Looker, and Big Data architectures.