Ops Excellence Business Intelligence Intern

Ops Excellence Business Intelligence Intern

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Ops Excellence Business Intelligence Intern

Référence

161813

Localisation

Dakar / Sénégal

Expiration

28 Mai 2026

Offre visitée

56 fois

Catégories

Informatique, Télécoms, Réseaux

Industrie Informatique, Télécoms, Téléservices

.

Description de l'offre

Job description

Data Collection, Cleaning & Structuring

• Retrieve data from multiple internal sources (WMS, ERP, Excel files, internal databases).

• Clean and normalize datasets: remove duplicates, handle missing values, and ensure consistency in formats and definitions.

• Document data flows and metadata to ensure traceability and standardization across countries.

Exploratory Analysis & Modeling

• Analyze operational data to identify trends, anomalies, and bottlenecks in logistics flows (storage, picking, dispatch, returns).

• Develop dashboards and visualizations showing key performance indicators: productivity, error rates, lead times, cost per unit, service levels.

• Apply statistical or mathematical methods (simple regressions, clustering, time series, functions) to better understand operational phenomena.

Process Automation

• Write scripts or small applications/macros to automate repetitive manual tasks (data cleaning, report generation, automatic email updates, etc.).

• Use tools such as Python, VBA, or equivalent, and develop light front-end interfaces using HTML or Java when needed.

• Document automation logic and maintain scripts for long-term use.

Internal Tools & Application Development

• Create or contribute to internal applications using Power Apps, Power Automate, or other low-code tools to digitalize processes (data collection, workflow tracking, approvals, etc.).

• Ensure proper integration of these tools with existing systems, including potential API connections.

Reporting & Dashboards

• Build and maintain Power BI dashboards for operational, excellence, and management stakeholders.

• Prepare regular and ad hoc reports highlighting analytical results, trends, and recommendations.

• Set up automated data refreshes and alerts for critical KPIs.

Communication & Knowledge Sharing

• Present analytical findings to non-technical stakeholders, clearly explaining the operational implications.

• Document scripts, processes, and dashboards to enable easy understanding and maintenance.

• Share knowledge and contribute to building a data-driven culture within the regional team.

• Include links to any personal or academic projects demonstrating your technical skills (GitHub, Power BI, portfolio, etc.).

Requirements

Someone with:

• Master’s degree in Mathematics, Applied Statistics, Data Science, or related field (mandatory).

• Strong background in mathematical reasoning, modeling, and data analysis.

• Technical proficiency in:

• Python(Pandas), VBA, HTML, Java(Optional)

• Power BI, Power Apps, Power Automate, Power Query

• Advanced Excel (pivot tables, forecasting)

**

• SQL**

• • Experience through internships, academic projects, or personal initiatives in analytics or process improvement.

• Bilingual in French and English (spoken and written).

• Methodical, detail-oriented, and proactive, with the ability to link numbers to real-world operations.

• Comfortable working in multicultural, fast-paced environments.

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