Who You Are :

We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities.

In this role, you will independently own and drive analytics initiatives within the Operations team, 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.

This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.

What Youll Do :

- 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 Youll Need :

- 5+ 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.

Bonus Points If You Have :

- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).

- Familiarity with event-tracking frameworks and behavioral analytics.

- Strong data storytelling skillscan translate complex data into concise, compelling narratives.

- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.