we are looking for a passionate and seasoned Senior data Analyst to join our data team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives. About The Role How youll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data -driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. data Infrastructure Collaboration: Work closely with data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions. Business Impact: Translate complex analytical findings into measurable business outcomes while supporting the companys performance and revenue goals.
Requirements:
Professional Experience: 5+ years of experience in data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments. SQL: High proficiency in SQL is required, including working with large and complex datasets. BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms. data Infrastructure: Experience working with modern data warehouse/ data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery. PythongreenTxtBg!: Practical knowledge of Python for data analysis and automation workflows. Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences. Execution: Ability to work independently, prioritize effectively, and drive data -informed decisions in a dynamic environment with tight deadlines.
Key Advantages (Nice to Have): Experience working in B2C or performance marketing environments. Experience building and maintaining ETL processes. Experience working closely with data Science teams on experimentation and optimization initiatives. Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data -driven decision-making. Good to know: We work in a hybrid model: 3 days from the office and 2 days from home
Professional Experience: 5+ years of experience in data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments. SQL: High proficiency in SQL is required, including working with large and complex datasets. BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms. data Infrastructure: Experience working with modern data warehouse/ data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery. PythongreenTxtBg!: Practical knowledge of Python for data analysis and automation workflows. Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences. Execution: Ability to work independently, prioritize effectively, and drive data -informed decisions in a dynamic environment with tight deadlines.
Key Advantages (Nice to Have): Experience working in B2C or performance marketing environments. Experience building and maintaining ETL processes. Experience working closely with data Science teams on experimentation and optimization initiatives. Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data -driven decision-making. Good to know: We work in a hybrid model: 3 days from the office and 2 days from home
This position is open to all candidates.
