Senior Data Analyst

As a highly motivated Senior Data Analyst at Zinnia, you will be independently owning and driving analytics initiatives within the Operations team. Your role involves translating data into actionable insights that enhance efficiency, decision-making, and key business Key Performance Indicators (KPIs). You will collaborate with stakeholders from Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and establish scalable analytics frameworks. This high-impact role demands deep analytical skills and the ability to influence business strategy through data-driven insights. - Drive analytics strategy by identifying areas for efficiency improvements and cost optimization within Operations - Utilize advanced analytics techniques such as inferential modeling, causal analysis, and experimental design to generate actionable insights - Design and implement A/B tests to optimize key processes - Develop frameworks to measure operational KPIs and business impact - Translate complex data insights into clear recommendations using data storytelling and visualization tools - Collaborate cross-functionally to align analytics initiatives with business needs - Enhance scalability and automation efforts to improve efficiency - Promote data analysis best practices while mentoring junior analysts To be successful in this role, you should possess: - 5+ years of experience in data analytics with a focus on Operations, Business Strategy, or Process Optimization - Expertise in SQL, Python, and working with relational cloud databases and unstructured datasets - Experience designing A/B tests, strong statistical knowledge, and proficiency in data visualization tools - Ability to work independently and influence business decisions through data-driven recommendations - Strong problem-solving skills and a proactive mindset to identify business opportunities using data Bonus points if you have experience with: - ML/AI applications in operational efficiency - Familiarity with event-tracking frameworks and behavioral analytics - Strong data storytelling skills - Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics (Note: No additional details of the company are mentioned in the job description.),