Associate Director - Data Analytics

SE2

8 - 13 years

10 - 15 Lacs

gurugram

Posted:18 hours ago| Platform:

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Skills Required

data analysis automation lead operations analytical predictive modeling business strategy regression analysis forecasting operations sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

WHAT YOU LL 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.
Strong problem-solving skills and a proactive mindset to identify business opportunities using data

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