Job DescriptionKey Responsibilities

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- Integrate source data from legacy ERP, warehouse management, PO systems, POS and third-party feeds, working within the organizations' ingestion and governance framework.
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- Build and maintain dbt models across staging, intermediate and mart layers for the supply-chain domain.
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- Design and implement business reporting / dashboard for the Supply Chain teams to support business strategy and day-to-day operations.
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- 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.
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- Carry out complex analysis to support business decisions (e.G. Network design, DC locations, etc.
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- Collaborate with Data Warehouse team (DaWaCa) to create robust and scalable data infrastructure to retrieve and analyze data.
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- Provide one single source of truth for Supply Chain data.
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- Define, recommend, and implement recent key performance indicators (e.G. forecast accuracy)
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- Scope and create user-friendly and actionable dashboards to provide visibility and insight.
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nRequirements:

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- Bachelor's degreein business intelligence, data analytics, statistics, engineering, or computer science.
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- 3–5 years hands-on experience with advanced SQL, dbt (or equivalent), Python for data work, and a cloud warehouse- Snowflake preferred.
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- Real understanding of data modelling: grain, keys, slowly-changing dimensions, incremental strategies, idempotency.
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- Experience programming to extract,



transform and clean large (multi-TB) data sets.
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- Experience in Statistical Analysis packages such as R, SAS, or Matlab.
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- Experience in scriptingfor automation (e.G. Python) and advanced SQL skills.
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- Experience with data visualization using PowerBI, MicroStrategy, or similar tools.
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- Experience working directly with business stakeholders to translate between data and business needs.
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- 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.
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- Experience in fashion industry, supply chain, omni-channel operations.
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- Strong commitment and dedication to tasks, with a willingness to take on tasks outside of the usual remit.
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- Uses AI assistants fluently as part of their engineering workflow, with judgement about output quality.
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nWhy Join Us:

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- Opportunity to work with a highly skilled and dedicated team.
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- Support from a collaborative and innovative work workplace.
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nFuture Opportunities:

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- Support ERP system roll-out across different operation units.
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- Work with Finance team to connect operational performance (KPIs) with financial improvements.
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- Work with business stakeholders to fine tune end-to-end data flows.
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- Support Network design for different operating models and business cases.
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- Conduct analysis to support continuous improvement of business process and system.
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- Define KPIs and developdashboards for 3PL performance.
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📌 Hiring: Analytics Engineer, Supply Chain (Karnataka)
🏢 Cu0026A Sourcing Jobs Asia
📍 Karnataka