Data and Analytics Engineer
Citi (company site, opens in a new tab)5–8 yrsChennaiHybridDirect career pageEst. 20–35 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and optimize KPIs, reports, dashboards, and automated data pipelines to monitor and improve access control and DWCS service effectiveness.
- Analyze large multi-source datasets for trends, anomalies, and security risks; create advanced predictive models and integrate AI workflows to support security intelligence.
- Collaborate with cross-functional teams to deliver actionable insights, perform ad-hoc analyses, and improve data processes and integrity.
Minimum Requirements
- 5–8 years of experience in data analytics, business intelligence, or data engineering.
- Proficiency in SQL, Python, and Excel for data analysis and scripting.
- Experience building and optimizing ETL/ELT data pipelines and managing large, multi-source datasets.
- Hands-on expertise with enterprise data visualization tools like Tableau.
Ideal Candidate Profile
- Experienced in operational analytics within security or client services environments with a focus on access control data.
- Skilled in advanced analytics methods including predictive modeling and familiarity with Generative and Agentic AI integration.
- Comfortable working cross-functionally with engineering, operations, cybersecurity, and governance teams to deliver analytical solutions.