Join our dynamic Marketing Operations team as a Business Analyst (BA) and take your career to the next level. In this role, you will be at the forefront of data-promoten Operations Analytics working closely with diverse teams and contributing to business objectives. This is a unique opportunity to leverage your skills, learn, grow, and make a significant impact on our business.

As a Business Analyst in our Marketing Operations team, you will play a pivotal role in the development and implementation of data-promoten Operations Analytics/Modeling. You will work closely with marketing execution and data teams to model staffing requirements, automate current resource processes, & develop requirements and/or produce reporting that provide end-to-end campaign analytics. Your responsibility will be to ensure that these products align with our business objectives and deliver actionable insights to support data-promoten decision-making.

Job Responsibilities:

•   Collaborate with marketing and data teams to develop detailed modeling to support staffing requirements and pipeline analytics
•   Design and develop resource models and data visualization dashboards
•   Perform process & productivity analytics in support of resource modeling
•   Assists in transformation of working tools across the business documenting data/reporting requirements, sizing process efficiencies, & other analysis

Required Qualifications, Capabilities and Skills:

•   Bachelor’s degree in Finance, Computer Science, Data & Analytics, or a related field
•   5+ years of experience as a Finance/Data Analyst
•   Strong background in operational analytics
•   Experience with SQL and modeling tools (e.g., Python, SAS)
•   Strong understanding & experience with data analytics tools and techniques (Alteryx, Tableau, Snowflake)
•   Excellent communication, presentation, and interpersonal skills
•   Ability to work independently and as part of a team in an agile environment.

 

Preferred Qualifications:
•   Experience with marketing platforms (e.g., Marketing Connect, Optima, Salesforce, Adobe Experience Manager, Axiom) 
•   Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) 
•   Experience with machine learning and artificial intelligence (ML/AI)