Data Analyst | Business Analyst

Hi, I'm Abdullah Khalifa

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Data Analyst

I turn raw, multi-source data into clear business insight. Using SQL, Python and Power BI, I clean and model data, automate pipelines with n8n, and build interactive dashboards that put the right KPIs in front of decision-makers.

Abdullah Khalifa
Power BI DAX
SQL Queries
n8n Automation

About Me

An engineer's rigor applied to business questions.

abdullah@jeddah:~

Hello! I'm Abdullah

I'm a Data & Business Analyst with a B.Sc. in Electrical and Computer Engineering from King Abdulaziz University. I'm currently a Data Analytics Intern at JX Tech Studio, where I extract and analyze data with SQL and Python, build automated n8n workflows and design Power BI dashboards.

Three years in sales and operations taught me what decision-makers actually need from a report. I bridge technical work and business requirements: gathering needs, tracking KPIs and turning trends into clear recommendations.

Daily Stack:
Power BI SQL Python Advanced Excel n8n Power Query

Computer Engineer

King Abdulaziz University

Saudi Council of Engineers member

Data Analyst

Dashboards & automation

Power BI, DAX modeling, n8n pipelines

Business Minded

3 years in sales & operations

KPI tracking & process optimization

Analytics Workflow

How I take scattered data to a decision-ready dashboard.

01

Gather & Clean

Multi-source extraction

Data rarely lives in one place. I pull it from SQL databases and Excel files, then clean and reshape it with SQL, Python and Power Query, fixing types, removing duplicates and handling missing values.

SQL Joins Python Power Query
02

Model & Automate

Relationships, DAX & pipelines

I connect tables into a clean data model and write DAX measures for KPIs and time intelligence. Where data refreshes often, I build n8n workflows so the pipeline runs without manual steps.

Data Modeling DAX n8n
03

Visualize & Deliver

Dashboards that drive action

I design interactive Power BI dashboards with slicers and drill-downs, so stakeholders can answer their own questions, and pair them with clear summaries of the trends that matter.

Power BI KPI Tracking Storytelling
0

Power BI Dashboards Published

0K

Orders Modeled

0

Licenses & Certificates

Analytical Toolkit

The tools and methods I use from raw data to decision.

Data Analytics & Tools

  • Power BI Dashboard creation, Power Query, DAX modeling
  • SQL Queries, joins & aggregation
  • Python Data analysis & scripting
  • Advanced Excel PivotTables, formulas, automation

Automation & Workflow

  • n8n Automation Automated data integration workflows
  • Data Pipelines Multi-source integration
  • Data Cleaning Validation & transformation
  • Trend Analysis Period-over-period & operational trends

Business Analysis

  • Requirements Gathering Turning business needs into analytics deliverables
  • KPI Tracking Defining and monitoring metrics
  • Process Optimization Workflow analysis & strategic planning
  • Stakeholder Communication Cross-functional collaboration

Projects

Power BI dashboards, each told as problem, process and insight. Open the live versions to interact with them.

Power BI

Smart Touch Report

The Problem: Order, cost and revenue data for a retailer selling bikes, accessories and clothing across Saudi cities was split between SQL and Excel sources. There was no single view of profit by product, customer or region.

The Process: Combined the SQL and Excel data, cleaned and transformed it in Power Query, and modeled the table relationships. Wrote DAX measures for orders, cost, revenue, profit and month-over-month change, then built slicers for gender, category, subcategory, region and date.

SQL + Excel Power Query DAX Map Visual

The Insight: 82K orders generated $38.19M revenue and $16.59M profit over 2019–2020. Accessories drove 40K orders, nearly double Bikes or Clothing. December 2020 closed at 4,066 orders, up 54.78% on the previous month.

Power BI · JX Tech Studio

Invoi: Invoice Operations Dashboard

The Problem: Built for JX Tech Studio, whose thousands of invoices from dozens of vendors had no shared view. It was hard to see total processed volume, which vendors mattered most, or how volume was trending over time.

The Process: Modeled the invoice data with year and quarter attributes. Wrote DAX KPIs for processed volume, invoice count and average invoice value, ranked vendors by volume, and added a vendor slicer, a date-range filter and a detail table showing payment status.

DAX KPIs Vendor Ranking Trend Analysis

The Insight: $489.05M was processed across 10K invoices (average $48.91K) between 2024 and 2026. The top 15 vendors fall in a narrow $6.7M–$7.3M band, so no single vendor dominates and concentration risk is low.

Power BI

Financial & Sales Report

The Problem: Sales transactions across several countries, products and customer segments needed a profit-and-loss view. Leadership wanted to compare performance with the prior year and see where discounts were eroding margin.

The Process: Built a two-page report with DAX measures for gross sales, discounts, COGS, profit and margin. Added time-intelligence measures for prior-year sales and growth, a quarterly P&L summary matrix, and slicers for country, product and date.

P&L Measures Time Intelligence Segmentation

The Insight: $118.73M in sales produced $16.89M profit (14.23% margin). The Government segment led with $53M in sales, Paseo was the most profitable product at $4.8M, and sales peaked in October at $21.67M.

Experience

From IT and operations to analytics.

Sep 2026 – Present

Data Analytics Intern

JX Tech Studio · Remote

  • Extract, clean and analyze complex datasets using SQL and Python to support project workflow and decision-making.
  • Design automated data integration workflows using n8n and build dynamic Power BI dashboards with DAX modeling.
  • Collaborate with backend and infrastructure teams to translate business requirements into unified analytics deliverables.
SQL Python n8n Power BI
Nov 2021 – Dec 2024

Sales & Operations Associate

As3a Platform · Jeddah, Saudi Arabia

  • Managed daily operations, ensuring smooth workflow and service delivery.
  • Improved customer satisfaction through effective communication and issue resolution.
  • Supported sales processes, including client interaction, negotiation and closing deals.
Jun 2024 – Aug 2024

IT Intern

Boost Saudi · Jeddah, Saudi Arabia

  • Performed network troubleshooting and system performance optimization.
  • Assisted in system testing and identifying technical issues.
  • Provided IT support and user training, and documented technical processes and system configurations.

Credentials

Engineering foundation and specialized analytics training.

Graduated Jan 2025

B.Sc. Electrical and Computer Engineering

Faculty of Engineering, King Abdulaziz University · Jeddah

Engineering training in systems, programming and quantitative problem solving, which underpins my approach to data modeling and analysis.

Computer Engineering SCE License No. 1111597

Licenses & Certificates

Let's Talk Data

Open to data and business analyst roles and collaborations.

Get in Touch

Have a messy dataset, a reporting process to automate, or a role to fill? I'd be glad to hear about it.