Senior Data Analyst (Operations Analytics)

**Role Overview:** As a Senior Data Analyst at Zinnia, you will play a crucial role in driving analytics initiatives within the Operations team. You will be responsible for translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. Your role will involve collaborating with stakeholders across various departments to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. **Key Responsibilities:** - **Drive analytics strategy:** Independently lead and execute key analytics initiatives in Operations, identifying areas for efficiency improvements and cost optimization. - **Advanced analytics & measurement:** Utilize inferential modeling, causal analysis, and experimental design to generate actionable insights beyond basic dashboards. - **Experimentation & testing:** Design and implement A/B tests to measure the impact of operational improvements, optimizing processes such as fraud detection, customer interactions, and compliance. - **Operational KPIs & business impact:** Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics for data-driven decision-making. - **Data storytelling & visualization:** Translate complex data insights into clear recommendations using visual storytelling techniques in Power BI and other visualization tools. - **Cross-functional collaboration:** Collaborate with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs. - **Scalability & automation:** Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work. - **Thought leadership & best practices:** Drive data analysis best practices, mentor junior analysts, and foster a culture of analytical rigor and excellence. **Qualifications Required:** - 6+ years of experience in data analytics, focusing on Operations, Business Strategy, or Process Optimization. - Proficiency in SQL, Python, and working with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. - Experience in designing A/B tests and experimentation frameworks for operational improvements. - Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. - Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. - Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and effective presentation of insights to leadership. - Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. - Strong problem-solving skills and a proactive mindset to identify business opportunities using data. (Note: The additional details of the company were not present in the provided Job Description.) **Role Overview:** As a Senior Data Analyst at Zinnia, you will play a crucial role in driving analytics initiatives within the Operations team. You will be responsible for translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. Your role will involve collaborating with stakeholders across various departments to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. **Key Responsibilities:** - **Drive analytics strategy:** Independently lead and execute key analytics initiatives in Operations, identifying areas for efficiency improvements and cost optimization. - **Advanced analytics & measurement:** Utilize inferential modeling, causal analysis, and experimental design to generate actionable insights beyond basic dashboards. - **Experimentation & testing:** Design and implement A/B tests to measure the impact of operational improvements, optimizing processes such as fraud detection, customer interactions, and compliance. - **Operational KPIs & business impact:** Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics for data-driven decision-making. - **Data storytelling & visualization:** Translate complex data insights into clear recommendations using visual storytelling techniques in Power BI and other visualization tools. - **Cross-functional collaboration:** Collaborate with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs. - **Scalability & automation:** Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work. - **Thought leadership & best practices:** Drive data analysis best practices, mentor junior analysts, and foster a culture of analytical rigor and excellence. **Qualifications Required:** - 6+ years of experien