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. As a Data Analyst, you will collaborate with business leaders to turn data into insights that drive strategic decisions.
Key Responsibilities:
- Execute data analysis to support merchandising decisions using established frameworks and methodologies
- Assist with scenario and decision analysis by preparing data, running analyses, and summarizing results
- Work closely with senior analysts and stakeholders to understand business questions and analytical requirements
- Develop and maintain reports, dashboards, and basic models to track business performance and trends
- Apply foundational predictive and diagnostic analytics techniques under guidance
- Query and analyze large datasets using SQL and data platforms such as GCP BigQuery or similar tools
- Support data pipeline development and validation in partnership with data engineering teams
- Ensure accuracy, consistency, and quality of analytical outputs
- Clearly communicate findings through AI summaries and basic data storytelling
- Document analysis logic, definitions, and assumptions to support transparency and reuse
- Follow corporate data governance, privacy, and responsible AI guidelines
Requirements:
- Overall 2-6 years of experience and relevant 1-3 years of experience
- B.Tech / B.E. or Masters in Statistics / Econometrics / Mathematics equivalent
Skills required:
- Hands-on experience with Structured Query Language (SQL) syntax
- Deep understanding of core DW/BI concepts
- Experience in at least 1 BI Visualization tool (i.e., PBI, Looker, Tableau)
- Working knowledge of structured (Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS)
- Exposure to large-scale datasets using tools like GCP BigQuery, Spark, or SQL-based warehouses and data pipelines
- Exposure to R, Python, Hive or other open-source languages/database
- Understanding of analytical techniques (like Regression, Time-series models, Classification Techniques, etc.)
- Git source code management & experience working in an agile environment
- Problem-solving skills
- Self-motivated and able to work in team settings in a fast-paced environment
- Competent and curious to ask questions and learn to fill gaps
- Good communication
- Experience with Retail, Merchandising, Marketing will be strong add-ons
- Basic understanding of Generative AI (GenAI) and Large Language Model (LLM) based applications