Senior Data Analyst providing actionable insights for performance marketers in a global company. Collaborating with marketing teams to drive revenue growth and efficiency using data analysis.
Responsibilities
Enjoy working as an individual contributor and are passionate about learning languages? Join us! We are hiring a **Senior Data Analyst** to join our US team and provide actionable insights for our performance marketers.
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). Identify trends, patterns, and anomalies to provide meaningful insights.
Contribute to the development of data models, including our marketing attribution models, and databases.
Requirements
Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Business, Data Analytics, Marketing)
3+ 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 Databricks and dbt is a plus
Experience with data visualization tools (e.g., Tableau) and Microsoft/Google suite of products (e.g., Excel and Spreadsheets). Experience with marketing analytics platforms, CRM systems is a plus
Proficiency in at least one programming language for data analysis (e.g., Python, R)
Solid understanding of marketing metrics and KPIs (e.g., CAC, LTV, ROAS)
Experience with audience development/organic measurement/marketing attribution models/incrementality testing is a plus
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
Experience with task automations through agentic AI is a plus
Experience with a SaaS product is a plus, as is enthusiasm for language-learning.
Benefits
Join a global company with purpose
Competitive compensation, PTO, benefits
Have an Impact on Babbel's product, company, and learners
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