Senior Marketing Data Analyst

Position Overview:

We are seeking a highly skilled Senior Marketing Data Analyst to lead our marketing analytics efforts and provide actionable insights that drive our marketing strategy. The ideal candidate will have extensive experience in data analysis, a deep understanding of marketing metrics, and a proven track record of using data to improve marketing ROI. This role involves working closely with the marketing, product, and sales teams to ensure data-driven decisions are at the core of our marketing efforts.
Key Responsibilities:
Lead Analytics Strategy: Develop and implement the marketing analytics strategy, ensuring alignment with overall business objectives.
Data Analysis and Insights: Analyze complex datasets to extract meaningful insights that inform marketing strategies, including customer segmentation, campaign performance, and conversion optimization.
Reporting: Create and present detailed reports on marketing performance, including metrics such as ROAS, customer acquisition cost, and lifetime value.
A/B Testing: Design, execute, and analyze A/B tests to optimize marketing campaigns and product features.
Collaboration: Work closely with cross-functional teams, including marketing, product development, and sales, to support data-driven decision-making.
Mentorship: Provide guidance and mentorship to junior analysts, helping them grow their analytical skills and understanding of the business.
Tool Management: Oversee the selection and implementation of marketing analytics tools and platforms, ensuring they meet the needs of the team.
Predictive Modeling: Utilize advanced statistical techniques, including predictive modeling, to forecast marketing outcomes and customer behavior.
Qualifications:
Education: Bachelors degree in Marketing, Data Science, Statistics, Economics, or a related field. A Masters degree is preferred.
Experience: 5+ years of experience in marketing analytics or a related field, with a proven track record of driving marketing success through data.
Technical Skills: Proficiency in data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau, Power BI, or Google Data Studio.
Advanced Analytical Skills: Strong ability to interpret complex data and communicate insights clearly to non-technical stakeholders.
Project Management: Experience managing analytics projects, from inception to delivery.
Leadership: Demonstrated ability to lead a team and manage multiple projects simultaneously.