Analytics Engineer II, Marketing
About The Position
The Analytics Engineer II, Marketing is responsible for executing analytics initiatives across various marketing domains including media performance measurement, marketing attribution, consumer behavior modeling, and strategic KPI reporting. The role blends the rigor of data science with the practicality of engineering and business analysis. This individual will analyze structured and unstructured data using statistical analysis, predictive modeling, and data mining techniques to develop actionable insights and recommendations. Working closely with business stakeholders and data engineering teams, this role supports the development of data infrastructure and delivers analytic solutions to improve business outcomes.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field is required.
- 2+ years of experience in data analytics, business intelligence, or marketing analytics.
- Demonstrated experience in media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.
- Advanced proficiency in SQL and/or Python.
- Strong skills in Power BI and Excel for dashboard creation and reporting.
- Familiarity with data modeling, ETL pipelines, and cloud-based platforms such as Databricks.
- Ability to manipulate and analyze unstructured data.
- Strong problem-solving, statistical, and modeling skills.
- Ability to communicate complex analytical findings to non-technical audiences.
- Highly organized, self-motivated, and able to manage multiple priorities.
- Strong collaboration and stakeholder engagement capabilities.
Responsibilities
- Partner with data engineering and business stakeholders to define analytical requirements and design robust data pipelines and models.
- Translate marketing and business needs into scalable data and reporting solutions.
- Support experimentation efforts and analyze marketing campaign impact.
- Design, develop, and optimize dashboards and reporting frameworks for marketing analytics and KPI monitoring.
- Ensure timely, accurate delivery of reports and insights to cross-functional teams and executives.
- Prepare and clean structured and unstructured data to ensure quality and consistency.
- Merge and extract data across multiple sources (e.g., sales, operations, consumer behavior) into unified repositories to enable holistic insights.
- Develop, deploy, and maintain statistical and predictive models using machine learning techniques.
- Perform exploratory and explanatory data analysis, benchmarking, and forecasting.
- Utilize cloud computing and open-source tools for scalable analytics.
- Define and refine marketing performance metrics aligned with business goals.
- Lead initiatives to automate workflows and improve data-driven decision-making processes.
- Provide user training and documentation to facilitate self-service analytics.
- Support less experienced analysts and promote best practices in data handling and visualization.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
