Marketing Data Analyst, Accolades
Forbes
United StatesRemotevia LinkedIn
Forbes is an iconic global media brand that has symbolized success for over a century. Fueled by journalism that informs and inspires, Forbes spotlights the doers and doings shaping industries, achieving success and making an impact on the world. Forbes connects and convenes the most influential communities ranging from billionaires, business leaders and rising entrepreneurs to creators and innovators. The Forbes brand reaches more than 140 million people monthly worldwide through its trusted journalism, signature ForbesLive events and 49 licensed local editions in 81 countries. Forbes is seeking a Marketing Data Analyst to support the success of the Accolades business, responsible for aggregating, analyzing, and transforming complex marketing, sales, and behavioral data into actionable datasets and insights. This position will directly support the team by informing campaign strategy, developing audience segmentations, and measuring marketing performance.Responsibilities:- Partners with stakeholders to understand business challenges, key performance indicators (KPIs), and audiences to develop segmentations for targeted campaigns.
- Maintains data integrity within the CRM (Salesforce) and associated datasets through regular cleansing, standardization, and quality checks of zero-party, first-party, and third-party data.
- Translates business requirements into data-focused objectives to establish, modify and maintain crucial data insights for the marketing and sales teams.
- Drafts and maintains marketing database procedures and documentation to ensure process integrity and adherence to internal policies.
- Builds and maintains reports and dashboards in Looker/Salesforce, and develops custom analyses to track marketing performance, campaign effectiveness, and ROI.
- Conducts deep-dive analysis on marketing campaign performance (email, display, paid search, etc.) to identify trends, opportunities for optimization, and root causes for performance fluctuations.
- Provide