Description
Join the Data Analytics (DA) team at TII across various domains such as Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance, and more. You'll collaborate with business leaders to turn data into insights that drive strategic decisions.
Key Responsibilities:
- Translate business problems into well-defined analytical questions and structured approaches
- Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
- Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
- Develop and deliver analytical and AI-driven solutions that enable decision support, forecasting, optimization, and automation
- Apply advanced analytics techniques to drive deeper understanding of business levers and inform optimal actions
- Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and SQL-based data warehouses
- Contribute to AI-driven analytical workflows, defining quality metrics, assessing reliability, and measuring tangible business impact
- Ensure analytical outputs are accurate, scalable, and aligned with business context
- Develop strong data storytelling skills to communicate insights and recommendations to non-technical audiences
Requirements:
- 5-8 years of experience with 3-5 years in a relevant field
- B.Tech/B.E. or Masters in Statistics/Econometrics/Mathematics equivalent
- Extensive exposure to Structured Query Language (SQL), SQL Optimization, and DW/BI concepts
- Proven hands-on experience in BI Visualization tools such as PBI, Looker, or Tableau
- Strong knowledge of structured and unstructured databases, including Hadoop Distributed File System (HDFS)
- Hands-on experience in R, Python, Hive, or other open-source languages/databases
- Experience with advanced analytical techniques such as Regression, Time-series models, Classification Techniques, etc.
- Git source code management and experience working in an agile environment
- Strong attention to detail, excellent diagnostic, and problem-solving skills
- Highly self-motivated with a strong sense of urgency to work independently and in team settings
- Excellent communication, service orientation, and strong relationship-building skills