Analytics Engineer, Supply Chain

Location: Vasanthanagar

Key Responsibilities:

Integrate source data from legacy ERP, warehouse management, PO systems, POS and third-party feeds, working within the organizations’ ingestion and governance framework.
Build and maintain dbt models across staging, intermediate and mart layers for the supply-chain domain.
Design and implement business reporting / dashboard for the Supply Chain teams to support business strategy and day-to-day operations.
Provide day-to-day operation-level data & analysis support to operation team so as to improve operational efficiency in terms of lead time, forecast, capacity & cost.
Carry out complex analysis to support business decisions (e.g. Network design, DC locations, etc.
Collaborate with Data Warehouse team (Da Wa Ca ) to create robust and scalable data infrastructure to retrieve and analyze data.
Provide one single source of truth for Supply Chain data.
Define, recommend, and implement new key performance indicators (e.g. forecast accuracy)
Scope and create user-friendly and actionable dashboards to provide visibility and insight.

Requirements:
Bachelor’s degree in business intelligence, data analytics, statistics, engineering, or computer science.
3–5 years hands-on experience with advanced SQL, dbt (or equivalent), Python for data work, and a cloud warehouse
- Snowflake preferred.
Real understanding of data modelling: grain, keys, slowly-changing dimensions, incremental strategies, idempotency.
Experience programming to extract, transform and clean large (multi-TB) data sets.
Experience in Statistical Analysis packages such as R, SAS, or Matlab.
Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Experience with data visualization using PowerBI, Micro Strategy, or similar tools.
Experience working directly with business stakeholders to translate between data and business needs.
Outstanding communication skills (verbal and written) and proven track record of an ability to effectively communicate with both business and technical teams at all levels.
Experience in fashion industry, supply chain, omni-channel operations.
Strong commitment and dedication to tasks, with a willingness to take on tasks outside of the usual remit.
Uses AI assistants fluently as part of their engineering workflow, with judgement about output quality.

Why Join Us:
Opportunity to work with a highly skilled and dedicated team.
Support from a collaborative and innovative work environment.

Future Opportunities:
Support ERP system roll-out across different operation units.
Work with Finance team to connect operational performance (KPIs) with financial improvements.
Work with business stakeholders to fine tune end-to-end data flows.
Support Network design for different operating models and business cases.
Conduct analysis to support continuous improvement of business process and system.
Define KPIs and develop dashboards for 3PL performance.