What Jobs are available for Employee Data in Pakistan?

Job Title: Minitab Data Analysis Expert

Job Description:

We are looking for an experienced Minitab expert to assist with data analysis, statistical testing, and interpretation of results. The ideal candidate should be skilled in using Minitab for Six Sigma, quality control, regression analysis, hypothesis testing, ANOVA, and process improvement projects. The role involves analyzing datasets, generating reports, and providing insights based on statistical outcomes.

Responsibilities:

Perform statistical analysis using Minitab.

Conduct hypothesis testing, ANOVA, regression, and control charts.

Interpret data and prepare summary reports.

Provide insights and recommendations based on analysis results.

Required Skills:

Strong command of Minitab and statistical techniques.

Knowledge of Six Sigma, Quality Management, and Process Improvement.

Proficiency in data visualization and interpretation.

Strong analytical and problem-solving abilities.

Experience Level:

Intermediate to Advanced (2–5 years of experience) in data analysis or quality management using Minitab.

Project Basis-> Recent Project 35k

Job Type: Full-time

Pay: Rs35,000.00 per month

Work Location: Remote

Description

The Data & Digital Systems Officer will be responsible for analyzing student academic performance, feedback trends, and admission data to support evidence-based interventions. This role also includes developing and maintaining a comprehensive student performance database, designing systems such as an LMS and academic portal for TCF College, and generating insights to improve teaching, learning, and university placements.

DATA ANALYSIS & REPORTING

• Analyze quiz results, teacher and student feedback, internal assessments, board results, and university admissions trends.
• Generate timely reports and dashboards to highlight academic performance and areas for intervention.
• Work with academic coaches and subject heads to support data-driven decision- making.

STUDENT DATABASE & TRACKING

• Develop and maintain a comprehensive digital database for all students, including academic progress, assessments, attendance, and feedback.
• Ensure timely updates and data accuracy across all records.
• Digital Systems & LMS Development
• Design and manage a custom portal or LMS (Learning Management System) for TCF College.
• Coordinate with IT teams to set up user accounts, access permissions, and course structures.
• Support teachers in using the LMS for assessments, resources, and communication.

IT LITERACY FOR STUDENTS

• Plan and implement initiatives to improve students' IT literacy and digital skills. Organize training sessions or short workshops on basic computer use, productivity tools (e.g., MS Word, Excel), internet safety, and online learning platforms.
• Ensure students are equipped to effectively use the LMS and other digital tools introduced in the college.

COLLABORATION & CAPACITY BUILDING

• Train staff (where needed) on interpreting dashboards and using digital tools. Liaise with the regional IT or academic teams on system improvements and tech support.

MONITORING & INTERVENTION SUPPORT

Identify struggling students based on analysis and suggest timely academic interventions in coordination with academic leadership.

Required Skills

• Proficient in data analysis tools (e.g., Excel, Google Sheets, SQL, or Power BI/Tableau).
• Ability to build and manage student databases and learning portals (LMS such as Moodle, custom dashboards, etc.).
• Strong analytical and problem-solving skills.
• Excellent communication skills for coordination with teachers and academic teams.
• Familiarity with education performance metrics and school/college-level assessments.
• Basic understanding of programming or web technologies (HTML/CSS/JavaScript, PHP, or similar) is a plus.
• High sense of confidentiality, accuracy, and timely reporting.
• Growth mindset and continuous learner with a proactive approach.

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Education Technology, or a related field.

Experience

Minimum 1–2 years of experience in data analysis, education systems, or LMS/portal development. Experience in an academic or education-focused setting will be a plus.

Job Type: Full-time

Application Question(s):

• What is your Current Salary?
• What is your Expected Salary?
• Are you willing to negotiate?

Work Location: In person

Eximus Education, an award-winning online tutoring company, is seeking experienced and dedicated freelance Online Tutors for Econometrics and Data Analysis to provide high-impact lessons to university and professional-level students. As an online tutor, you will help students across the UK achieve their academic and career goals, strengthen their technical skills, and build confidence in applying econometric and data analysis methods.

Responsibilities

• Provide online tutoring sessions in Econometrics and Data Analysis
• Assess students' strengths and weaknesses to tailor lessons to their needs
• Prepare and deliver engaging and interactive lessons with practical applications
• Communicate effectively with students to discuss progress and learning goals

Requirements

• Strong academic background in Econometrics, Statistics, or related fields
• Excellent English communication skills
• Relevant online tutoring or teaching experience at undergraduate/postgraduate level
• Proficiency in econometric techniques (e.g., regression, time series, panel data, causal inference) and data analysis methods
• Familiarity with Zoom/Google Meet and digital whiteboard tools
• Reliable internet connection and necessary equipment for online tutoring

Preferred Qualifications

• Advanced degree (Master's/PhD) in Economics, Econometrics, Statistics, or Data Science
• Experience with online tutoring platforms
• Ability to support students with coursework, research projects, and exam preparation

How to Apply

Please email your resume to or apply via LinkedIn. Mention "Econometrics & Data Analysis Tutor" in the subject line of the email.

Data Entry and Management Skills

• Data Entry Accuracy: Skilled in entering, updating, and verifying large volumes of data with high attention to detail and minimal errors.
• Database Management: Experienced in organizing, maintaining, and optimizing databases using tools like Microsoft Excel, Google Sheets, and Access.
• Data Cleaning & Validation: Capable of identifying inconsistencies, removing duplicates, and ensuring data integrity across multiple sources.
• File Organization: Proficient in creating structured digital filing systems for easy data retrieval and secure recordkeeping.
• Reporting & Analysis: Able to generate, format, and summarize data reports to support decision-making and performance tracking.
• Software Proficiency: Knowledge of MS Office Suite, Google Workspace, Airtable, and basic CRM systems (e.g., Salesforce, HubSpot).
• Confidentiality & Compliance: Adheres strictly to data privacy policies and ensures secure handling of sensitive information.
• Time Management: Efficient at managing deadlines and prioritizing multiple data-related tasks in fast-paced environments

Job Type: Full-time

Pay: Rs30, Rs45,000.00 per month

Work Location: In person

is looking to hire a 'Data Verification Executive'for its Bayut and Dubizlee Operations.

Job Responsibilities:

• To ensure products meet quality and efficiency standards set by the company. Manage the spam and competitor section.
• Responsible for reviewing listing (manually, XML Feed, XLS), updating their location and approve or rejected after verification of price, location, type, purpose etc
• Review all emails marked as Spam and then approve/reject them
• To check the Bounced emails section and clear it
• Images QA as per set guidelines
• Collection and bringing up-to-date of competitors counts in CRM along with adding and updating new clients from competitors to CRM
• Verify the details of newly registered agents on Portal
• Responsible update location and XML feed mapping on a daily basis
• Daily website audit (QA) to make sure the quality of data
• Report new localities to concern department for their addition in System

Job Requirements:

• Experience: 06 months - 1 Year
• Education: Graduation is must.
• Location: Gulberg, Lahore.
• Position Level: Entry level
• Relevant experience in data management and data entry
• Good communication and follow-up skills.
• Must have a good working knowledge of computer software like MS Word and Excel.

We're Hiring: Data Analyst

OTC is looking for a
Data Analyst
to strengthen our team in
Lahore
. This role is ideal for fresh graduates or early-career professionals eager to contribute to data-driven decision-making in supply chain and logistics.

Key Requirements:

• Master's degree in
  Supply Chain Management, Logistics, or related field
• 1–2 years
  of relevant experience
• Proficiency in
  MS Office (Excel, Word)
• Familiarity with
  ERP systems
• Strong organisational & coordination skills
• Ability to work under pressure and meet deadlines
• Excellent
  English communication skills
  (written & spoken) for international correspondence

What We Offer:

• A dynamic and collaborative work environment
• Professional growth and career development opportunities
• Exposure to international projects and clients

Location:
Lahore

Apply at:

Deadline:
6th October 2025

Job Details:

• Shift Timings: 7:00 PM – 4:00 AM (Night)
• Working Days: Monday to Friday
• Location: P.E.C.H.S Block 2, Karachi

Role Overview:

We are looking for a detail-oriented Data Scraper to extract, organize, and maintain accurate business information from multiple online sources. The role involves collecting large volumes of data, ensuring its accuracy, and preparing it for use in various business functions, including research, reporting, and decision-making.

Key Responsibilities:

• Extract structured and unstructured data from websites, databases, and online platforms.
• Clean, validate, and organize raw data into usable formats.
• Build and maintain databases for internal use.
• Collaborate with relevant teams (sales, marketing, research) to support their data needs.
• Ensure all data collected is accurate, up to date, and compliant with company standards.
• Generate reports or summaries based on the extracted data.

Requirements:

• Bachelor's degree in Computer Science, Business, or a related field.
• 6 months – 1 year of proven experience in data scraping, data mining, or a similar role.
• Strong technical and analytical skills.
• Proficiency in Excel, Google Sheets, or SQL for handling large datasets.
• Familiarity with scraping tools, scripts, or automation techniques is a plus.
• Attention to detail, strong organizational abilities, and ability to meet deadlines.

Job Type: Full-time

Pay: Rs40, Rs45,000.00 per month

Ability to commute/relocate:

• Karachi: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Preferred)

Experience:

• Data Scrapping: 1 year (Required)

Language:

• English (Preferred)

Work Location: In person

Job Title: Data Science Engineer (AI/ML Expertise)

Location: On-site ( Eithad town, raiwand road Lahore)

Job Type: Contractual

Experience: 3+ years

Salary: 120k - 250k

Timings: 9:00 pm - 4:00 am

⸻

Job Overview:

We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.

The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.

You will work closely with cross-functional teams — including data engineers, product managers, and software developers — to transform raw data into actionable intelligence and production-ready ML models.

⸻

Key Responsibilities:

• Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.
• Build and optimize data pipelines and ETL workflows for efficient model training and inference.
• Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.
• Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.
• Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).
• Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).
• Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.
• Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.
• Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.
• Present data-driven insights and AI strategies to both technical and non-technical stakeholders.

⸻

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 3+ years of hands-on experience in data science, AI, and machine learning engineering.
• Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.
• Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.
• Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.
• Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).
• Proven experience in deploying ML models to production using APIs or containerized solutions.
• Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.
• Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).
• Excellent problem-solving, analytical, and communication skills.

⸻

Preferred Qualifications:

• Experience building AI-driven systems in healthcare, fintech, or SaaS environments.
• Exposure to big data streaming (Kafka, Flink) and real-time ML inference.
• Understanding of MLOps practices — model versioning, monitoring, retraining pipelines.
• Contributions to open-source AI/ML projects or research publications.
• Familiarity with LLMs, generative AI, and prompt engineering.

⸻

What We Offer:

• Competitive salary and performance-based incentives.
• Exposure to large-scale AI-driven projects with measurable business impact.
• Professional growth opportunities with access to state-of-the-art ML infrastructure.
• Collaborative team culture with mentorship and innovation at its core.

Job Type: Full-time

Pay: Rs120, Rs250,000.00 per month

Work Location: On the road