Business Data Analyst (Microsoft BI) — F&B
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Key skills for this role
About the Role
The role You will own our BI stack end-to-end: ingesting data, building clean models, and delivering clear dashboards that drive action.
Key Skills for This Role
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Overview
The role
You will own our BI stack end-to-end: ingesting data, building clean models, and delivering clear dashboards that drive action.
You’ll partner with Operations, Finance, Marketing, and Supply Chain to surface the metrics that matter (AOV, attachment rate, COGS, labor %, waste, menu mix, cohort retention, store P&L, campaign ROI, etc.).
What You’ll Do
- Design, build, and maintain Power BI dashboards (DAX, Power Query) for daily/weekly exec and outlet views.
- Model and transform data from POS, ERP, inventory, and other sources into a single source of truth.
- Publish and govern datasets, set refresh schedules, and manage row-level security.
- Build automated KPI packs (email/Teams summaries) and self-serve datasets for stakeholders.
- Deep-dive analyses: menu engineering, price tests, promo/seasonality, forecasting, and store benchmarking.
- Create clear documentation, data dictionaries, and how-to guides for non-technical users.
- QA data quality; resolve anomalies with vendors and internal teams.
- Support ad-hoc questions with fast queries and crisp narratives that drive decisions.
Must-have Qualifications
- 3+ years in analytics/BI; at least 2 years hands-on with Microsoft BI (Power BI, Power Query, DAX).
- Strong SQL (joins, CTEs, window functions) and data modeling (star/snowflake).
- Proven record turning messy operational data into simple executive dashboards.
- Business acumen in F&B/retail (store ops, margins, inventory, promos).
- Excellent communication: you can translate analysis into action for non-analysts.
- Ownership mindset; comfortable working at speed with imperfect data.
- Nice to have
- Experience with Foodics POS, Microsoft Dynamics 365 Business Central, Supy, or similar systems.
- Python for analysis/automation; Power Automate/Power Apps for light workflows.
- Forecasting/experimentation (baseline vs. lift, cohort retention, seasonality).
- Arabic language skills.
- Tools & data sources you’ll touch
- Power BI (Service/Desktop), DAX, Power Query, SQL Server/Azure SQL, Excel, Dynamics 365 BC, POS exports (e.g., Foodics), inventory/procurement, staffing/labor, marketing & e-commerce.
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