Responsibilities

• Build and maintain the client reporting dashboards in Domo.
• Publish daily client metrics in Domo, including both marketing and operating metrics, to provide insight into how the client is performing.
• Own the accuracy and integrity of published data and escalate any discrepancies to the Data Engineering team as soon as issues are identified that originate outside of the analyst's own calculations.
• Deliver weekly and monthly readouts of key insights on client performance, along with any proposed actions.
• Work with the Media and Client Service teams to discuss performance, proposed changes, and the impact of those changes.
• Develop models to predict future performance based on prior data and current recommendations.
• Communicate directly with assigned clients on performance and key deliverables.
• Present performance readouts, insights, and recommendations directly to clients.
• Complete ad-hoc analysis and reporting requests from account leadership and cross functional teams as they arise.
• Meet all delivery deadlines, which are non-negotiable, and act with a strong sense of urgency.

Requirements

• Intellectual curiosity — a drive to challenge the status quo and continuously seek improvement and positive change.
• Bachelor's degree in a quantitative, marketing, business, or related field, with up to 5 years of experience in analytics or a comparable role.
• Proficiency in SQL for querying, joining, and validating data from multiple sources.
• Experience with statistical and predictive modeling (e.g., forecasting, regression) using Python, R, or similar tools.
• Advanced Excel skills, including pivot tables, complex formulas, and data modeling.
• Meticulous attention to detail with a commitment to data accuracy and quality assurance.
• Strong written and verbal communication skills, including the ability to present insights and recommendations directly to clients.
• Ability to manage multiple client deliverables simultaneously and prioritize effectively to meet deadlines.
• Proficiency in modeling and interpreting data from digital marketing data sources e.g. Google Ads, Google Analytics, Facebook Ads, Social Listening tools, Adobe Marketing Analytics etc.
• Competent in sourcing and merging performance data from Marketing Automation / CRM systems e.g. Marketo, Eloqua, Salesforce, HubSpot etc.

Benefits

• Competitive salary
• health and dental insurance
• life and disability
• 401K
• supplemental insurance
• FSAs
• PTO/Holidays and much more!