Senior Data Analyst; Operations Analytics - Gurugram, Haryana, India

Senior Data Analyst (Operations Analytics) - 6+ Yrs

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products,azers enabling more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, and deliver value. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2,500 distributors and partners, and over 2 million policyholders.

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 deep analytical skills and the ability to influence business strategy through data.

• Drive analytics strategy
  :
  Own and propel key initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimisation.
• Advanced analytics & measurement
  :
  Leverage inferential modelling, 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, optimising 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 insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other tools.
• Cross‑functional collaboration
  :
  Align analytics initiatives with business needs in partnership with Operations, Data Engineering, and Product.
• Scalability & automation
  :
  Work with Data Engineering to enhance data pipelines, models, and automation that improve efficiency and reduce manual work.
• Thought leadership & best practices
  :
  Champion data‑analysis best practices and mentor junior analysts, fostering a culture of analytical rigor.

• 5+ years of experience in data analytics focused on Operations, Business Strategy, or Process Optimisation.
• Expertise in SQL and Python, and strong ability to work with relational cloud databases (Redshift, Big Query, Snowflake) and unstructured datasets.
• Experience designing A/B tests and experimentation frameworks to drive operational improvements.
• Strong statistical knowledge: regression analysis, time‑series forecasting, and causal inference modelling.
• Experience in operations analytics such as workforce efficiency, process optimisation, risk modeling, and compliance analytics.
• Hands‑on experience with data‑visualisation 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.

• ML/AI expertise in operational efficiency (e.g., anomaly detection, predictive modelling, workforce automation).
• steam familiarity with event‑tracking frameworks and behavioural analytics.
• Strong data‑storytelling skills – ability to translate complex data into concise, compelling narratives.
• Prior experience in a fast‑paced, high‑growth environment with a focus on scaling analytics.

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting‑edge technologies, deeper data insights, and enhanced services to transform how insurance is done.

We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.