ayoub larbi
@ayoublarbi
Data Analyst and Statistical Engineer turning transactional data into executive dashboards and actionable insights.
What I'm looking for
I’m a State-Certified Statistical Engineer (M.S. in Applied Statistics) with a strong mathematical foundation and a practical, modern datastack (SQL, Power BI, Excel). I turn complex transactional data into executive-level dashboards and use advanced statistical modeling to surface actionable business insights.
I build end-to-end data pipelines and optimize analytics workflows by pushing heavy query logic upstream (CTEs and window functions) in PostgreSQL. In my Olist E-Commerce dashboard, I tracked $16M+ in revenue and logistics-to-satisfaction dynamics, and isolated operational bottlenecks that reduced late deliveries—dropping customer review ratings from 4.29 to 2.57 stars.
As an Inventory & Analytics Manager, I analyze monthly sales trends, design Excel tracking systems to reduce holding costs, and provide data-backed procurement recommendations to mitigate stockout risks. Earlier, as a Data Analyst Intern at Sonelgaz and Algérie Télécom, I cleaned and preprocessed large datasets, created interactive reporting, and supported forecasting/predictive demand modeling; I’m eager to deliver high-impact analytics for a remote-first engineering or business intelligence team.
Experience
Work history, roles, and key accomplishments
Inventory & Analytics Manager
Wholesale Business
Oct 2025 - Jun 2026 (8 months)
Managed inventory distribution and analyzed monthly sales trends using statistical tracking. Designed an Excel stock-velocity tracking system and provided data-backed procurement recommendations to mitigate stockout risks.
Data Analyst Intern
Sonelgaz
Jan 2023 - Jun 2023 (5 months)
Cleaned and preprocessed a large energy consumption dataset to ensure high-quality data inputs. Built interactive Excel dashboards to track customer consumption trends and assisted with forecasting and predictive demand modeling.
Data Analyst Intern
Algérie Télécom
Jan 2022 - Jun 2022 (5 months)
Analyzed customer subscription, churn, and network traffic data to identify service bottlenecks and churn risks. Processed data and created visualizations using Excel, SPSS, and EViews.
Education
Degrees, certifications, and relevant coursework
National School of State Statistics and Applied Economics (ENSSEA)
Master of Science in Applied Statistics, Applied Statistics
2018 - 2023
Completed a State-Engineer degree and M.S. in Applied Statistics at ENSSEA (2018–2023). Thesis examined the impact of foreign direct investment and inflation on Algeria’s economic growth using a VECM econometric model for 1970–2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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