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Babbel is hiring a highly motivated and experienced Senior Data Analyst to join our data team, with a specific focus on supporting our Marketing and Revenue departments. In this role, you will play a crucial part in translating complex marketing and sales data into actionable insights that drive revenue growth and efficiency. You will work closely with marketing managers, product leads, and other stakeholders, providing data-driven recommendations and contributing to strategic initiatives. This role is ideal for a seasoned analyst looking to make a significant impact as an individual contributor on revenue generation and marketing effectiveness. This role will report directly into the Senior Analytics Manager.
Job Responsibility:
Conduct in-depth analysis of marketing campaign performance and sales data to identify opportunities for revenue growth and improved marketing ROI
Analyze lead generation activities and conversion funnels to identify bottlenecks and optimize lead nurturing strategies
Develop clear, concise dashboards and reports that effectively communicate marketing performance to stakeholders, including executive leadership
Collaborate closely with marketing teams to understand business objectives, identify analytical needs, and provide data-driven solutions
Build and maintain self-serve reporting frameworks so non-technical stakeholders can access data independently
Conduct in-depth analysis of large datasets using various statistical methods and tools (e.g., SQL, Python/R, Excel, data visualization software)
Contribute to the development of data models, including our marketing attribution models, and databases
Ensure data accuracy, consistency, and reliability by implementing data quality checks and validation processes
Contribute to documentation of data definitions, metrics dictionaries, and lineage
Recommend best practices within the larger data organization
Share knowledge and insights with the broader organization through presentations and documentation
Keep abreast of the latest trends and technologies in data analysis, business intelligence, and data science
Requirements:
Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Business, Data Analytics, Marketing)
4+ years of experience as a Data Analyst, with a proven track record of supporting marketing and/or revenue teams
Strong proficiency in SQL/Python for data extraction and manipulation
Experience with data visualization tools (e.g., Tableau) and Microsoft/Google suite of products (e.g., Excel and Spreadsheets)
Solid understanding of marketing metrics and KPIs (e.g., CAC, LTV, ROAS)
Proficiency in at least one programming language for data analysis (e.g., Python, R)
Excellent communication and presentation skills, with the ability to explain complex technical concepts to marketing and sales professionals
Comfortable navigating ambiguity and working proactively with minimal day-to-day direction
Strong problem-solving and analytical skills
Experience working with large datasets and data warehousing concepts
Nice to have:
Experience with Databricks and dbt
Experience with marketing analytics platforms, CRM systems
Experience with audience development/organic measurement/marketing attribution models/incrementality testing
Experience with task automations through agentic AI
Experience with a SaaS product
Enthusiasm for language-learning
What we offer:
Comprehensive benefits including medical, dental, vision insurance