20.10.2026 aktualisiert
teilweise verfügbar
info: Abends und am Wochenende verfügbar
Supply Chain Analytics & AI Automation (SQL, Python, validated LLM pipelines), remote, part-time
Berlin, Deutschland
Nur Remote
PhD candidate, International Logistics (in progress); MSc Industrial EngineeringÜber mich
Berlin-based supply chain analyst with 10+ years in retail, FMCG and e-commerce operations: Supply Chain Director (60 stores, 2 DCs), replenishment automation, S&OP, SAP rollout. Builds inventory analytics and validated AI automation for operations. English fluent.
Skills
APIsApache AirflowData AnalysisSupply Chain ManagementSQLDaten-PipelineDatabricks
Supply chain analytics and validated AI automation for operations, for retail, FMCG and e-commerce companies.
Inventory health diagnostics: days of cover, over- and understock, dead stock, cash tied up in stock.
Replenishment design: reorder points, safety stock, order quantities; automated store ordering for 4,200+ SKUs across a DC and 20 stores.
Forecasting: SKU-level buying forecasts netted against stock and open POs; calibrated, out-of-sample-tested PO arrival probabilities.
KPI integrity: restating stock KPIs on one rule set so year-on-year comparisons are like-for-like.
Finance-facing reconciliation: month-end inventory rebuilt from ERP ledgers; invoice-to-PO matching at line level.
Ops AI automation: supplier price-list intake, document processing and stock/open-PO bots, with validation gates, regression tests and human approval before anything leaves.
AI governance in practice: read-only connectors, least-privilege service accounts, LLM cost measured from per-call usage data.
Data engineering: SQL (BigQuery, Exasol, T-SQL, Oracle), Python, Airflow, Databricks, Tableau including its REST API.
ERP and master data: SAP ERP rollout business architect; inventory logic for a Dynamics AX rollout; Business Central ledger analysis; PIM/MDM data-quality audits.
Operations leadership: S&OP, 3PL management on SLA/OTIF, multi-site warehousing, planning teams of 15-40 (direct and indirect), reporting to the Board.
Tools: SQL, Python, Airflow, Databricks, Tableau, SAP ERP, LLM pipelines (Gemini, Claude), AI agents, Make, process automation, data validation.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherPersischMuttersprache
Projekthistorie
Analytics lead for Supply Chain and Master Data at a multi-market European online beauty retailer. Built a production LLM pipeline with a deterministic rule engine and four validation gates, LLM agents and Slack bots for non-technical teams, led AI-connector governance review with CTO and IT, built async Python loaders for PIM data, owned the Supply Chain Tableau space, shipped Exasol ETL with Data Vault history, automated the vendor bonus calculation, and launched a supplier-facing analytics portal.
Led supply chain operations for a 60-store discount retail network with 2 distribution centres and 5,100 SKUs, reporting to the Board. Served as business architect for the SAP ERP rollout, built the company's first BI roadmap and KPI framework, standardised procure-to-pay workflows, and managed 3PLs against SLA and OTIF targets.
Translated warehouse and inventory processes into technical requirements and led Lean automation of goods-in and goods-out flows. Ran the monthly S&OP cycle aligning Sales, Finance and Production leadership; directed warehouse operations across 4 sites, 400+ SKUs and 10+ logistics suppliers, with budgets growing from 1.8M to 2.6M GBP while delivering savings projects.