Job Summary:
In this role, you will be responsible for analyzing and interpreting data to drive business decisions and optimize marketing performance at RYZE Superfoods. You will support data-driven initiatives by ensuring accurate tracking, developing reports, and identifying trends that enhance growth and operational efficiency. This role requires a detail-oriented professional with a strong analytical mindset and experience in marketing analytics, customer insights, and reporting automation.
Supervisory Responsibilities:
No
Duties/Responsibilities:
- Analyze data from multiple sources to identify trends, patterns, and opportunities for business growth.
- Support the Senior Data Manager in ensuring accurate QA pixel tracking and event tracking implementation.
- Assist in developing full-funnel reporting using Big Query and other business intelligence tools.
- Measure the efficiency of marketing channels and assess customer Lifetime Value (LTV).
- Create dashboards and reports to track key performance indicators and optimize marketing strategies.
- Conduct A/B testing analysis to inform marketing campaign improvements.
- Collaborate with cross-functional teams, including marketing, e-commerce, and data engineering.
- Maintain and update the company's data dictionary and contribute to best practices.
Education and Experience:
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- 2+ years of experience in data analysis, business intelligence or a related role.
- Experience in e-commerce, consumer goods, or wellness industries is a plus.
Required Skills/Abilities:
- Proficiency in SQL, BigQuery, and data visualization tools (Tableau, Looker, Power BI, etc.)
- Strong Excel/Google Sheets skills, including pivot tables and advanced formulas.
- Familiarity with marketing analytics tools such as Google Analytics, Klaviyo, and Shopify.
- Ability to interpret and report on full-funnel marketing performance.
- Experience in event tracking, A/B testing, and marketing attribution.
- Strong analytical and problem-solving skills with keen attention to detail.
- Excellent communication skills to present data driven insights to various stakeholders.
- Experience working with data warehouses and reporting automation is a plus.
This is a remote position.