Full-Time Senior Marketing Data Analyst

Key Responsibilities:

• Data Analysis: Collect, analyze, and interpret data from various sources (e.g., website analytics, paid media, social media, television advertising, and customer feedback) to identify trends and opportunities.
• Campaign Performance: Evaluate the effectiveness of marketing campaigns through metrics such as ROI, customer acquisition cost, and conversion rates. Provide actionable recommendations to improve performance.
• Market Research: Conduct thorough market research to understand industry trends, customer behavior, and competitive landscape. Create detailed reports to inform marketing strategies.
• Reporting: Develop and maintain regular reports and dashboards to track key performance indicators (KPIs) and present findings to stakeholders.
• Budget Management: Assist in the management of the marketing budget, ensuring efficient allocation of resources based on data-driven insights.
• Collaboration: Work closely with cross-functional teams, including product, data engineering/data platform, and finance to align marketing strategies with business objectives.
• Tool Management: Utilize and manage marketing tools and platforms, such as Google Analytics, CRM systems, and marketing automation software.

Qualifications:

• Education: Bachelor’s degree in Marketing, Business, Economics, Statistics, or a related field. Advanced degrees or certifications in analytics are a plus.
• Experience: 2+ years of experience in a marketing analyst role.
• Technical Skills: Proficiency in data analysis tools (e.g.,Looker, SQL, dbt, Python, Google Analytics,) and familiarity with marketing platforms (e.g., Google ads, Invoca, Meta Business manager, Innovid, DMP’s, DV360, SFMC, etc..).
• Analytical Mindset: Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.
• Communication: Excellent written and verbal communication skills, with the ability to present findings to non-technical stakeholders.
• Attention to Detail: High level of accuracy and attention to detail, especially when dealing with data.
• Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment.