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3 days ago
A visionary leader in data analytics is sought after to spearhead analytics initiatives within the Operations team.
This high-impact management role requires a unique blend of technical expertise, business acumen, and strategic problem-solving abilities.
The ideal candidate will have a proven track record of translating complex data into actionable insights that drive efficiency, decision-making, and key business KPIs.
- Lead Operations Analytics: Direct a team of data analysts and develop the Zinnia Operations Analytics vision.
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: 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.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- 8+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python, and relational cloud databases (Redshift, BigQuery, Snowflake).
- 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 ability to present insights effectively to leadership.
- Collaborate with a talented team of professionals dedicated to delivering cutting-edge technologies and deeper data insights.
- Pursue opportunities for growth and development in a fast-paced, high-growth environment.
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