What are the responsibilities and job description for the CRM Analyst position at Veronica Beard?
Overview:
Veronica Beard is looking for a CRM Analyst to join our Digital Marketing team. Reporting into the CRM Manager, this analyst will leverage data to provide customer insights and identify opportunities to further develop segmentation and targeting initiatives to maximize customer lifetime value. The ideal candidate will be data-driven and focused on maximizing VB’s relationship with the customer and sharing insights with appropriate internal partners.
Responsibilities:
- Partner closely with the digital marketing teams to integrate CRM best practices in everyday marketing and customer experience. Employ data-driven insights to optimize campaign builds, segmentation and testing constructs.
- Generate weekly, monthly, and seasonal reporting on marketing campaigns and tests. Conduct ad hoc analysis and provide actionable insights to maximize incrementality and ROI.
- Develop proficiency in Veronica Beard’s CDP tool to support ad hoc analysis; design, build and maintain reports and dashboards to support decision making and disseminate information and insights across the organization.
- Partner with internal and external teams to bring seasonal direct mail pieces to life, from initial creative vision to segmentation and post-campaign analysis.
- Study customer behavior across Veronica Beard’s ecommerce and retail channels and turn insights into actions, identifying business opportunities to increase customer lifetime value, engagement with marketing channels, customer retention and reactivation.
- Partner with the data team to monitor data hygiene inputs and outputs and overall customer file health.
- Assist in building, deploying, and analyzing customer studies to gain a better understanding of the VB customer and how that evolves over time.
- Provide DTC business partners with insights on the health of our customer base by using analytical techniques and making recommendations for optimizations to assist with revenue and conversion goals.
Requirements:
- 3 years of professional experience is a must, CRM, retention marketing or data analytics.
- Strong analytics skills and working knowledge of data visualization/reporting tools (Sigma, Looker, Tableau, etc.
- BS or MS degree in computer science, mathematics, economics, statistics, engineering, or a related field preferred.
- Must be proficient in Excel and Google Analytics.
- Self-motivated, results driven, highly organized, have strong attention to detail and excellent communication skills.
- A self-starter personality that can thrive in the fast-paced environment of a rapidly growing company.
- Ability to work well in high-pressure, short-deadline situations.
The salary range for this role is between $70,000 and $80,000. The relevant salary range will vary depending on wide range of factors that are considered in making compensation decisions, including but not limited to, skill sets, experience, training, degrees, and certifications. The salary range is just one component of our total compensation offerings, which consist of a comprehensive benefits package as well as a short-term incentive program, clothing allowance, and merchandise discounts.
At Veronica Beard, we are committed to creating and maintaining a workplace where every single employee can thrive and feel valued. As a company, we firmly believe that there is strength in diversity. We seek to recruit talent from a variety of perspectives and backgrounds and are actively seeking candidates with a dedication to advancing equity, inclusion, and racial and social justice in their work.
Veronica Beard is committed to an environment of mutual respect and is an EEO/Affirmative Action Employer. No employee or applicant is discriminated against because of race, color, sex (including pregnancy), age, national origin, religion, sexual orientation, gender identity, gender expression, parental status, status as a veteran, and basis of disability or any other federal, state or local protected class.
Salary : $70,000 - $80,000