Overview
Right Customer is a performance marketing studio that collaborates with subject-matter experts to design, advertise, and provide online education to their audiences in evergreen areas such as real estate investing, business, and personal finance. We are seeking a Marketing Data Analyst who is skilled in Python, MySQL, BigQuery, and Data Visualization. Your task will be to integrate and analyze data from various sources, including digital advertising channels, CRM lead data, customer opt-ins, and purchasing data, to gain actionable marketing insights.
Requirements
Who You Are
- You have solid experience in Statistical Data Analysis and Data Analytics, capable of finding meaningful insights from complex data.
- You are proficient in Python programming and MySQL, enabling you to manipulate and analyze data efficiently.
- You are experienced in machine learning and data analysis, using these tools to extract beneficial insights from large datasets.
- You can translate complex data insights into clear, actionable steps through your robust technical writing skills.
- You're acquainted with digital advertising platforms like Facebook and Google, and have experience integrating data from CRM systems.
- You are comfortable managing large datasets and have experience working with data platforms like BigQuery.
- You have a solid understanding of statistics, enabling you to interpret data and produce precise, insightful analyses.
- You have experience creating and maintaining data dashboards in Looker Studio, facilitating easy data visualization and analysis.
- You're capable of setting up automated data reports, ensuring easy access and comprehension of data insights for the entire team.
What You'll Be Doing
- Design, build, and manage a centralized online database in BigQuery to contain all client and marketing data.
- Combine datasets such as lead data from CRMs, digital advertising data, customer opt-ins, and purchasing data, to provide comprehensive insights.
- Conduct advanced data analysis, modeling, and prediction using advertising data, CRM lead data, customer opt-ins, and purchasing data.
- Develop and use statistical models, including linear regression and predictive lead scoring, to analyze complex datasets.
- Apply machine learning methods to improve data analytics and obtain deeper insights.
- Prepare technical reports and present analytical findings in a clear, understandable manner to the team and stakeholders.
- Create and maintain data dashboards in Looker Studio for easy data visualization and analysis.
What Success Looks Like
30 Days
- Establish a comprehensive, organized online database in BigQuery to store all client and marketing data and integrate lead data from CRMs, digital advertising data, customer opt-ins, and purchasing data to provide valuable insights that inform marketing decisions.
- Create and maintain data dashboards in Looker Studio for easy data visualization, analysis, and automated reporting.
60 Days
- Develop statistical models for data analysis, including linear regression modeling and predictive lead scoring, that effectively guide marketing actions.
90 Days
- Automate the generation of actionable insights and trends over time from data analysis to inform our marketing strategy.