Marketing Analytics Manager at Svea Solar, delivering data - driven insights and recommendations for marketing and commercial strategy. Collaborating closely with CMO and leading analysis on marketing performance.
About the role
- Data Analyst championing data-driven decision-making for Love, Bonito. Collaborating with stakeholders to drive insights and improve business outcomes through analytics.
Responsibilities
- Reporting to the Data Science and Analytics Manager
- Play a pivotal part in championing a data-driven approach in decision-making through data analytics solutions
- Drive the analysis and business planning to deliver value to stakeholders
- Design, optimize, and maintain intuitive performance dashboards that enable stakeholders to explore data independently and drive strategic decision-making
- Enhance runrate projection models to improve forecast accuracy and align with business growth trajectories
- Develop data-driven models to forecast sales event performance, optimize campaign mechanics, and support merchandising strategy
- Build and maintain customer segmentation and market basket analyses to uncover cross-sell opportunities and inform merchandising decisions
- Conduct rigorous statistical analysis to identify trends, anomalies, and growth opportunities, delivering reusable, scalable analytical frameworks rather than one-off insights
- Evaluate existing aggregation tables for performance bottlenecks and scalability constraints, recommending optimizations that support long-term growth
- Automate recurring workflows to reduce manual effort, improve consistency, and accelerate business outcomes across teams
- Document data models, business logic, and analytical methodologies to ensure solutions remain scalable and maintainable as the business evolves
Requirements
- Bachelor's degree in a quantitative field (Statistics, Data Science, Mathematics, Computer Science, Engineering, Business) or related discipline. Master's degree is a plus!
- 1-2 years of relevant experience in analytics, data science, or business intelligence roles (fresh graduates with substantial internship experience in analytics will be considered)!
- Strong proficiency in Python, SQL, and statistics
- Self-starter who proactively identifies optimization opportunities and continuously improves solutions
- Stays current with analytics best practices and emerging tools, applying new learnings to enhance work quality
- Collaborative team player who takes ownership and drives projects to completion
- Familiarity with modern data lakehouse platforms (Databricks experience a plus)
- Experience with data visualization tools (Tableau, Metabase preferred)
- Experience in retail or fashion industry preferred but not required
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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