Available for Data Analyst roles · Riyadh, KSA

Turning Raw Data into Business Decisions

PostgreSQL Python Pandas Advanced Excel Tableau Data Cleaning ETL Pipelines

About Me

Husnain Zahoor

I'm a Data Analyst based in Riyadh, Saudi Arabia, with a Computer Engineering degree and over a year of applied experience managing and reporting data across a large-scale CCGT power project.

In my current role as Jr.Planning Engineer at Al Qassim Riyadh KSA, I coordinate data collection across five departments Mechanical, Electrical, Instrumentation & Control, and Civil consolidating multi-source inputs into daily, weekly, and monthly reports for senior management. I track equipment delivery status for major assets including Gas Turbines and HRSGs, monitor planned vs. actual progress via S-curves.

That experience gave me something most entry-level analysts don't have, the habit of working with real operational data, under real deadlines, for real stakeholders.

Outside my engineering role, I've completed portfolio projects in PostgreSQL, Python, Tableau, and Excel analysing datasets ranging from 65,000 retail transactions to 3.4 million transport records.

I'm targeting an entry-level Data Analyst role in Riyadh KSA ideally within an organisation where data is central to how decisions get made.

Core Expertise

PostgreSQL

Advanced

Python

Intermediate

Pandas

Intermediate

Advanced Excel

Advanced

Tableau

Intermediate

ETL Pipelines

Intermediate

Featured Projects

End-to-end analytics projects each tackling a real business problem with a structured methodology and actionable findings.

Transport Analytics · PostgreSQL

NYC Yellow Taxi — End-to-End SQL Pipeline

Business Challenge: Build a scalable data pipeline on 3.4 million NYC taxi records and extract operational KPIs using advanced SQL techniques.

3.4M Rows Processed
3-Layer Medallion Architecture
Bronze Raw Ingestion
Gold Business KPIs
  • Designed full Bronze/Silver/Gold Medallion Architecture in PostgreSQL
  • Applied CTEs, window functions, and subqueries for KPI reporting
  • Performed deep data cleaning and transformation across 3.4M records
  • Built reusable ETL pipeline from raw ingestion to business layer
PostgreSQL CTEs Window Functions Data Modelling ETL Medallion Architecture
View Case Study
Retail Analytics · Excel

Walmart Store Sales Performance Analysis

Business Challenge: Identify key drivers of store performance variance and quantify holiday season impact on weekly sales across 65,000+ transactions.

52% Sales from Holidays
0.75 Efficiency Correlation
65K+ Rows Analysed
5 Key Recommendations
  • Uncovered that holiday periods drive the majority of annual revenue
  • Identified store efficiency as the primary performance driver
  • External economic factors showed minimal correlation with sales
  • Delivered actionable strategies for underperforming stores
Advanced Excel Pivot Tables Statistical Analysis XLOOKUP Correlation Analysis
View Case Study
Search Analytics · Tableau

Cliqz Search Engine — Behaviour & Forecasting

Business Objective: Analyse user search behaviour and forecast query volume to optimise server capacity planning and reduce infrastructure costs.

70K+ Search Queries
2.7K Hourly Forecast
3K/hr Capacity Recommended
15% Cost Reduction
  • Built time-series forecasting model predicting hourly search volumes
  • Designed interactive Tableau dashboards for operational planning
  • Identified peak usage patterns across countries and time zones
  • Provided data-driven server capacity recommendations
Tableau Time-Series Forecasting Advanced Excel Dashboard Design User Behaviour Analysis
View Case Study

Professional Experience

Junior Planning Engineer

Shandong Tiejun Electric Power Engineering Co., Ltd

Feb 2025 – Present · Riyadh, KSA

  • Built S-curves, Pivot Tables, and performance dashboards in Advanced Excel, reducing report preparation time by 30–40% across daily, weekly, and monthly cycles.
  • Collected, cleaned, and validated project data from multiple departments, improving progress tracking accuracy and enabling faster operational decisions.
  • Monitored weekly progress targets (2–3% growth), identified variances 2–3 days earlier, and triggered timely corrective actions across departments.
  • Developed 1-week and 3-week look-ahead plans to support task prioritisation, increasing on-time task completion by up to 20%.
  • Analysed planned vs. actual productivity to predict delays and support proactive resource reallocation decisions.
  • Produced stakeholder-ready reports highlighting completed work, upcoming risks, and optimisation opportunities — improving cross-team communication and execution accuracy.
  • Participated in weekly client meetings alongside senior managers to review progress and gather feedback for project adjustments.

Education & Development

2019 – 2023

Bachelor of Computer Engineering

KFUEIT – University of Engineering and Technology, RYK
Analytical thinking, problem-solving, and engineering systems — foundation for data-driven roles.
2025 – Present

Data Analytics Job-Readiness Programme

Lumen Germany · Mentored by Dr.Humera Noor Minhas
Structured programme covering end-to-end analytics workflows, portfolio development, and job readiness for Data Analyst roles.
2026 – Present

Professional English — B2 Level

Lucy's British English Programme
Business communication, professional writing, and spoken English for workplace and stakeholder interactions.

Let's Connect

Email

husnainzahoor313@gmail.com

Available for data analysis opportunities

LinkedIn

linkedin.com/in/husnainzahoor

2,000+ followers · Active content creator

Location

Riyadh, Saudi Arabia

Open to opportunities in KSA & remote