As a data analyst, you’re responsible for tracking both key marketing analytics as well as key performance indicators for intercompany departments, then compiling and communicating this data to appropriate members and departments.
You’re also responsible for identifying trends in data that may reflect an opportunity or possible weakness in the business. This includes, but is not limited to, metrics such as churn rate for continuity programs, the performance of media campaigns, and success of promotions.
You will have a constant pulse on the business and focus not only on gathering and presenting data but constantly checking the quality and efficacy of the data we’re collecting to help DigitalMarketer reach its goals.
Key Responsibilities & Accountabilities:
- Work with Marketing Manager and CEO to establish and evaluate the data that should be tracked to measure both long and short-term company goals.
- Interpret and analyze high-level company data (continuity churn rate, paid media performance, promotional performance, etc.)
- Provide ongoing reports and dashboards for each department of the company that reflects their KPIs/goals along with overall company goals.
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
- Identify, analyze, and interpret trends or patterns, and communicate those findings along with suggestions for improvements or changes to the appropriate department head.
- Consistent attention to finding trends in data that will reveal new opportunities or glaring weaknesses within the company.
Key Performance Indicators:
- Monitoring improvement of the following key metrics above the steady baseline:
- Marketing churn rate
- Product trial conversion rate
- Cost per acquisition from paid traffic campaigns by offer and traffic source
- Return on investment from paid traffic campaigns by offer and traffic source
- Total number of leads acquired from paid traffic campaigns by offer and traffic source
- Conversion rates for each step of acquisition funnels
- Conversion rate for each follow-up campaign in relation to acquisition funnels
- Average time to first response to support ticket
- Customer satisfaction rating from solved support tickets
- Unique blog page views
- Total CTA clicks from blog posts
- Total number of recommendations made to improve baseline KPIs