A leading organization is currently seeking a skilled Data Analyst to join their dynamic team remotely, with a preference for candidates commutable to LA or NY/NJ. This role focuses on marketing and ad sales enablement, providing valuable insights to drive decision-making across B2B and B2C operations.
About the Opportunity:
- Hybrid or Remote: Remote with a preference for candidates near LA or NY/NJ.
- Shift: Standard business hours aligning with Pacific Time.
- Schedule: Requires flexibility for cross-regional collaboration.
- Hours: Full-time with core Pacific hours.
- Setting: Collaborative, growing Center of Excellence.
Responsibilities:
The Data Analyst – Marketing & Ad Sales Enablement will be responsible for:
- Analyzing campaign performance across B2B and B2C units.
- Building and maintaining dashboards and reports using tools like Datorama, Salesforce Intelligence, or similar.
- Collaborating with sales, marketing, and data teams to align on metrics and reporting needs.
- Partnering with Salesforce Admins to centralize reporting needs across multiple instances.
- Configuring and optimizing visualizations and insights delivery methods.
- Supporting international reporting initiatives.
- Assisting with platform transitions and system integrations.
Qualifications:
- 4+ years of experience in data analytics within a marketing, ad sales, or retail environment.
- Degree in a relevant field.
- Proficiency in Salesforce Marketing Intelligence (Datorama) or similar tools.
- Ability to build dashboards and communicate findings effectively.
- Experience with BI tools such as Tableau, Power BI, or Looker.
- Comfort working in ambiguous environments.
- Strong communication and collaboration skills.
- Familiarity with Salesforce platforms like Sales Cloud, Marketing Cloud, or Media Cloud.
- Capability to support global reporting initiatives.
Desired Skills:
- 4+ years of experience in a similar role.
- Degree in a related field.
- Knowledge of Datorama and Marketing Cloud Intelligence.
- Skills in campaign data visualization and ad attribution models.
- Strong analytical and problem-solving skills.