Data Analyst Internship in Pakistan
This data analyst internship in Pakistan is a 1 to 6 month data analytics track, hybrid: onsite at our Rawalpindi office or fully remote, for students and fresh graduates from any degree who want to turn data into answers for businesses, starting from spreadsheets. You clean data, write SQL and build dashboards in Looker Studio or Power BI Desktop with your mentor reviewing every task, and you apply by pressing Apply now and registering on the Ezitech intern portal.
SELECT city, COUNT(*)
FROM orders GROUP BY city;
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
- Google Sheets
- SQL
- SQLite
- PostgreSQL
- Looker Studio
- Power BI Desktop
Data analyst internship applications are open all year. 1 to 6 months, hybrid: onsite in Rawalpindi or remote from anywhere, with every task reviewed. QR-verified certificate. Apply for the data analyst internship
A chart is easy. A number you can trust is the job
Anyone can make a chart. Cleaning the data, defining a KPI before measuring it, checking every join and writing a recommendation a manager can act on. That is the internship.
- 1You generate a realistic dataset for a fictional business
- 2You clean it and keep a log of every change
- 3Your mentor checks every query, rate and KPI definition
- 4You hand over an analytics pack with SQL, a dashboard and a memo
Spreadsheets and SQL basics are covered in weeks 1 to 4. You do not need coding or statistics, and this is analytics, not machine learning.
-- Week 9: which customers ordered again within 30 days? WITH ordered AS ( SELECT customer_id, order_date, LAG(order_date) OVER ( PARTITION BY customer_id ORDER BY order_date ) AS prev_order FROM orders ) SELECT COUNT(DISTINCT customer_id) AS repeat_customers FROM ordered WHERE julianday(order_date) - julianday(prev_order) <= 30;
What you will be able to do after this data analyst internship
Spreadsheets for analysis
Tidy tables, pivot tables and the right chart for each business question.
Data cleaning
Duplicates, missing values and outliers fixed, with a cleaning log someone else can check.
Honest numbers
Averages next to medians, and every rate reported with its base.
SQL
SELECT, WHERE and GROUP BY up to joins, CTEs and window functions in SQLite or PostgreSQL.
Data quality
Row counts before and after every join, quality checks and reconciliation between sources.
KPIs
Defining a metric with its exact numerator and denominator before measuring it.
Dashboards
Dashboards in Looker Studio or Power BI Desktop that answer one question per page.
Analysis and storytelling
Cohorts, funnels, an A/B test readout and a memo with clear recommendations.
The data analyst internship plan, 3-month version
Four phases. Each one ends in a deliverable that is reviewed and graded before the next opens.
Spreadsheets and clean data
Trust the data before you use it.
- Types of data, tidy tables and average versus median
- Your own generated dataset with a data dictionary
- Cleaning duplicates, missing values and outliers with a cleaning log
- Pivot tables and charts that answer business questions
A cleaned dataset with a cleaning log and pivot tables that answer real business questions.
SQL and data quality
Get answers from a database, and check them.
- SELECT, WHERE, ORDER BY and GROUP BY in SQLite
- Joins across related tables with row count checks
- Data quality checks for duplicates and missing links
- Every query saved with the question it answers
A SQL query pack on GitHub with results pasted as tables and a set of data quality checks.
KPIs and dashboards
Define the number, then show it.
- Defining KPIs before measuring them: conversion, retention and averages that mean something
- Dashboards in Looker Studio or Power BI Desktop, one question per page
- Window functions and CTEs
- A data storytelling memo for a manager
A KPI dashboard described visual by visual, with a memo naming what a manager should notice first.
Analyses and handover
Find where customers are lost, then hand it over.
- Cohort retention and funnel analysis
- An A/B test readout and the root cause of a metric change
- A repeatable reporting pipeline, with Python and pandas as an option
- Analytics pack, mock interview, CV, GitHub and LinkedIn help
An analytics pack for a growing business: clean data, SQL, KPIs, a dashboard and a memo with recommendations.
Every intern hands over an analytics pack a manager would open every Monday
You bring your work on one fictional business, such as an online store, a food delivery app or a gym, into one pack: what is measured, how, what it says now and how to refresh it.
- Clean data with a data model and KPI definitions
- A dashboard described visual by visual
- A memo where every number links to its query







What the data analyst internship includes
Three things that make this different from a course you watch on a screen.
Client-style projects
You work on projects written for realistic client companies, with deadlines and revision rounds, not recycled practice exercises.
A mentor, not a playlist
Every piece of work is reviewed against written criteria, you can ask your mentor at any time, and other interns are around you to build with.
Portfolio and verified certificate
You finish with work you are allowed to show and a QR-verified certificate that states your track and dates.
Verified certificate
Issued by Ezitech Institute and verifiable by employers.
Verified certificate
A QR code lets anyone confirm your track and dates online.
An analytics pack
SQL, KPIs, a dashboard and a memo with recommendations for a fictional business.
Interview preparation
CV rewrite, portfolio case study and a technical mock interview.
A portfolio you can show
Every accepted task appears on your public Ezitech profile, under the project it belongs to.
Confidence in review
Month after month of explaining and defending your own work in reviews.
Built for you if
- You are a student or fresh graduate from any degree who likes working with numbers
- You are comfortable with spreadsheets, or happy to start there
- You want to answer business questions with data, not build AI models
- You need an internship or a final-year project with a real portfolio
Not a fit if
- You want a certificate without doing the work
- You cannot work on it most days for the months you choose
- You want to build machine learning models rather than analyse data
- You want to skip review and work alone
Data analyst internship: questions people ask
Everything applicants email us about, answered before you apply.
What does a data analyst intern do?
Can fresh graduates with no experience join the data analyst internship?
Do I need coding or statistics for data analytics?
What is the difference between a data analyst and a data science internship?
Can I do the data analyst internship remotely?
Which tools does the data analyst internship use?
Is there a fee, and is the internship paid?
Does the data analyst internship guarantee a job?
Who runs this internship?
How do I apply for the data analyst internship?
Not sure Data Analyst is the one?
Every Ezitech internship runs 1 to 6 months, hybrid: onsite or remote, with the same mentor model and every task reviewed. Not sure where to start? See what universities ask for, or how the one-time programme fee and refunds work.
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Turn messy data into a decision someone makes
1 to 6 months, one shipped piece of real work, a mentor who reviews you every week. Registration takes five minutes.
Ezitech Institute · Rawalpindi, Pakistan · info@ezitech.org · +92 345 5555396