Chief Performance Improvement Officer

Attract Top Talent: Operations Director - Data Analytics Job Opportunity

Are you a highly motivated and experienced professional with a strong track record in data analytics? Do you have the skills to lead teams, drive strategic initiatives, and influence business decisions through data-driven insights? We are seeking an exceptional Operations Director - Data Analytics to join our team.

We are looking for a talented and seasoned leader to own and drive key analytics initiatives within the Operations team. As Operations Director - Data Analytics, you will be responsible for translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks.

• Lead Operations Analytics: Lead a team of data analysts and own the Zinnia Operations Analytics vision
• Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization
• Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights
• Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key 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, ensuring data-driven decision-making
• Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools
• Cross-functional collaboration: Work closely 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 and mentor junior analysts, fostering a culture of analytical rigor and excellence

To succeed in this role, you will need:

• 8+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization
• Expertise in SQL, Python, and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets
• Experience designing A/B tests and experimentation frameworks to drive 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 the ability to present insights effectively to leadership
• Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations

As a member of our team, you will have the opportunity to work with smart, creative professionals who are dedicated to delivering cutting-edge technologies and deeper data insights. You will also receive a competitive compensation package, comprehensive benefits, and the chance to grow your career in a dynamic and supportive environment.