Senior Data Analyst (Ops Analytics) - 6+ Yrs
- SE2
- 5 - 10 years
- Noida, Gurugram
- 4 months ago
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Job Description
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 YOU LL 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 YOU LL 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 skills can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Data AnalystEmployement Type: Full timeContact Details:
Company: SE2Location(s): Noida, Gurugram+ View Contact
Keyskills: Automation Data analysis Analytical Predictive modeling Business strategy data visualization Forecasting Operations SQL Python
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