The Consumer Technology organization needs a Data Analyst to turn raw data into decisions, helping leaders see what’s working and what’s next, and to guide strategy, forecast outcomes, and uncover new opportunities.
Requirements
- Strong understanding of the B2B marketing funnel and key metrics such as MQLs, SQLs, pipeline, CAC, and LTV
- Proven experience developing projected LTV models to guide marketing investment
- Solid SQL and Excel skills; familiarity with Python or R is a plus
- Experience working with CRM and marketing automation platforms like Salesforce or HubSpot
Responsibilities
- Track and analyze the B2B marketing funnel to identify performance trends and dropout points
- Develop multi-touch attribution models to assess the impact of various marketing channels
- Understand the technical setup behind paid advertising and its role as an acquisition channel
- Build and maintain projected LTV models to forecast revenue potential from customer segments
- Create dashboards using tools like Sigma and Clarisights for performance tracking
- Support budget allocation and pipeline forecasting through historical data analysis
- Translate analytics into actionable business recommendations for marketing and sales leaders
Other
- Bachelor's degree in Marketing, Statistics, Business Analytics, Economics, or related field
- 3-5 years experience in marketing analytics, preferably in a B2B SaaS or enterprise environment
- Fluent in English, both written and spoken
- Work from anywhere, embracing a fully remote work culture
- Flexible paid time off and working hours, promoting work-life balance