Marketing Analyst

Responsibilities

• Marketing Analytics & Measurement
• Measure and report on the performance of marketing and communications campaigns across digital and traditional channels.
• Develop and maintain dashboards, scorecards, and reporting frameworks that provide stakeholders with timely performance insights.
• Establish KPIs and measurement plans for campaigns, ensuring accurate tracking and data collection before launch.
• Monitor marketing performance and identify trends, opportunities, and areas for optimization.
• Conduct ad hoc analyses to answer business questions and support strategic decision-making.
• Develop benchmarks and performance targets using historical data and industry standards.
• Data Management & Reporting
• Integrate and analyze data from multiple sources, including CRM platforms, web analytics tools, advertising platforms, social media channels, email marketing systems, and spreadsheets.
• Build and maintain automated reporting processes that improve efficiency and data accuracy.

Requirements

• Bachelor's degree in Marketing, Business Analytics, Statistics, Economics, Data Analytics, Information Systems, or a related field.
• Two years of experience in marketing analytics, business intelligence, digital analytics, or a related function.
• Demonstrated experience creating dashboards and reporting solutions that support business decision-making.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent written and verbal communication skills with the ability to explain complex information clearly.
• Experience analyzing digital marketing performance across channels such as Google, Meta, LinkedIn, email, and web.
• Strong attention to detail and commitment to data accuracy.
• Ability to manage multiple priorities and collaborate effectively across teams.

Preferred

• Preferred Technical Skills
• Advanced Excel (pivot tables, lookups, data cleaning)
• Tableau, Looker Studio, or similar BI platform
• Google Analytics 4
• CRM reporting experience (Slate, HubSpot, etc.)
• Data blending and automated reporting workflows
• Basic SQL proficiency preferred
• Experience working with APIs and multiple data sources preferred
• Familiarity with digital advertising platforms and attribution methodologies