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Faizanahmad User

@faizanahmaduser

Message

I’m a data analyst building SQL, Python, and Power BI dashboards to uncover revenue drivers and KPIs.

United Kingdom

Message

What I'm looking for

I’m looking for an entry-level Data Analyst role where I can turn messy data into SQL/Python ETL, Power BI dashboards, and KPI reporting—helping teams make faster, better decisions with clear insights.

I’m an MSc Data Analytics graduate delivering end-to-end analysis with SQL, Python, Power BI, and Excel—from ETL and data cleaning through dashboards and KPI reporting. Through portfolio projects, I surfaced £15.5M in monthly revenue drivers and benchmarked 479K+ job postings to translate data into clear performance insights.

In my Retail Sales ETL, EDA & Reporting Suite, I built a decision-ready BI reporting layer by cleaning, standardising, and joining 6 raw CSV datasets in PostgreSQL using CTEs and window functions, then created dashboards tracking product performance, inventory ROI, and moving-average trends. I also designed a Data Jobs Dashboard 2.0 in Power BI with Power Query, DAX, and star-schema modelling to reveal salary and skill-demand patterns, and I’ve paired this analytical work with 2 years of operational management—improving inventory, cash reconciliation accuracy, and service KPIs while supervising a small team.

Experience

Work history, roles, and key accomplishments

Current

Shift Manager

Current

Greggs

Jul 2024 - Present (2 years)

Reduced wastage by 2.7% and improved shop profitability by running daily stock and stales checks and maintaining accurate inventory data. Achieved 100% cash reconciliation accuracy on ~£2,200 daily takings, while supervising a team of 2–3 and ensuring food safety and health & safety compliance.

Inventory Management Stock And Stales Checks Cash Reconciliation End Of Day Banking Team Supervision Customer Service Food Safety Compliance Health & Safety Compliance

Education

Degrees, certifications, and relevant coursework

Oxford Brookes University

Master of Science (MSc) in Data Analytics, Data Analytics

Grade: Merit

MSc Data Analytics program completed with a Merit. Coursework covered statistics, SQL, Python, time series analysis, statistical modelling, data mining, and business intelligence.