business analyst

data analyst

machine learning engineer Jobs in Karachi

machine learning engineer

sap developer cum analyst Jobs in Karachi

sap developer cum analyst

business intelligence/data processing officer Jobs in Karachi

business intelligence/data processing officer

data scientist

MARS Healthcare Network

We are looking for Fresh talent who are able to work as Data Analyst, reporting process by performing all related tasks and solving issues as they come up during the shift.Roles and Responsibilities:<ul><li>Interpret data, analyze results using statistical techniques and provide ongoing reports.</li><li>Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.</li><li>Acquire data from primary or secondary data sources and maintain databases/data systems.</li><li>Locate and define new process improvement opportunities.</li><li>Extracting the data from multiple sources and refining the data to get business insights.</li><li>Using power BI, MS excel and other tools to interpret results/finding from the data which can be used to take business decisions.</li><li>Responsible for improving the efficiency of the workflow on the basis of the available data.</li></ul>Requirements:<ul><li>Minimum qualification should be Bachelors of Engineering (B.E)</li><li>Expertise in Power BI and MS Excel.</li><li>Good communication and presentation skills.</li><li>At least 2 years of Experience.</li><li>Strong analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Adept at queries, report writing and presenting findings.</li></ul>Job Type: Full-timePay: From Rs90,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Analyst: 2 years (Required)</li></ul>

Data Analyst

The Citizens Foundation (TCF)

DescriptionThe incumbent will be responsible for processing and interpreting data, analyzing results and providing relevant insights that would guide strategic decisions and increase business efficiencies. He/she will work hand-in-hand with other departments to clean and analyze wide variety of data collected from the field and data in management systems.<ul><li>Ensure data structures are robust as per set standards and data analysis is free of error.</li><li>Develop a workflow to move from raw data to fully processed data ready for analysis in Excel, or data software based on the team&rsquo;s theoretical/administrative requirements.</li><li>Provide project/initiative specific recommendations based on results attained from data analysis.</li><li>Work with a variety of data sets and conduct statistical analysis.</li><li>Prepare technical and non-technical reports as and when required using data.</li></ul>Required Skills<ul><li>Excellent analytical skills &ndash; should be able to manage all data related tasks including data entry, data cleaning, data analysis, and reporting.</li><li>Strong, practical grasp over statistical methods. Some experience in predictive analytics would be a plus.</li><li>Proficiency in Excel and Python/R, for data analysis with programming skills in SQL for database management (ETL workflow).</li><li>Comfortable in multi-tasking and ability to work on a wide range of projects requiring collaboration across different teams.</li><li>Excellent verbal and written communications skills and presentation skills to contribute to reports, and impact evaluation studies.</li><li>Must be passionate, self-motivated, results driven, and able to work with minimum supervision.</li><li>Must be curious and motivated to learn new skills.</li><li>Strong interpersonal and time-management skills.</li><li>Proficiency in Power BI, DAX and M-query and dashboard design.</li></ul>EducationBachelor's Degree in Business, Economics, Mathematics, Computer Science, or related fieldExperience2 - 3 years' experience in a similar roleJob Type: Full-timeApplication Question(s):<ul><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Are you willing to negotiate?</li></ul>Work Location: In person

Retail online

Position: Data AnalystWe are looking for a detail-oriented and analytical Data Analyst to support our organization's data-driven initiatives. In this role, you will be responsible for gathering, analyzing, and interpreting data from various sources to produce meaningful insights that drive strategic decisions. Your expertise in Excel, Power BI, and data analysis techniques will be critical in delivering accurate, actionable, and visually compelling reports.Key Responsibilities:<ul><li>Collect, validate, and analyze data from diverse sources to identify trends, patterns, and insights.</li><li>Develop, manage, and enhance dashboards, reports, and data models using Excel and Power BI.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver insights that inform business decisions.</li><li>Perform data cleaning, transformation, and validation to ensure data accuracy and consistency.</li><li>Recommend and implement improvements to data collection, reporting, and analysis workflows.</li><li>Conduct ad-hoc analyses and generate custom reports based on stakeholder needs.</li><li>Stay updated on the latest analytics tools, technologies, and best practices to continuously enhance reporting capabilities.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Hands-on experience working in a data-focused environment using Excel and Power BI.</li><li>Advanced skills in Excel, including pivot tables, formulas, and data visualization.</li><li>Proficient in designing and building interactive dashboards and reports in Power BI (or similar tools).</li><li>Strong grasp of data analysis methods, statistical concepts, and data modeling principles.</li><li>Experience in data preparation, cleaning, and validation to maintain high data quality.</li><li>Analytical thinker with the ability to extract insights from complex datasets.</li><li>Excellent communication skills for presenting findings and collaborating across teams.</li><li>Strong attention to detail and commitment to data accuracy and reliability.</li><li>Ability to manage multiple tasks and projects independently with minimal oversight.</li><li>Familiarity with SQL and programming languages such as Python or R is a plus.</li></ul>Job Type: Full-timeExperience:<ul><li>relevant: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Data Analyst (Night Shift)

Xynotech

We&rsquo;re looking for a hands-on Data Engineer to join our team and lead the development of robust data pipelines powering the IllumiFi Analytics platform. You&rsquo;ll work with cutting-edge, cloud-native tools to architect, implement, and optimize serverless data solutions on AWS.If you enjoy working with Python, PySpark, and modern data lakehouse patterns in a fast-paced environment &mdash; this is your opportunity to build impactful solutions from the ground up.What You&rsquo;ll Actually Do Here<ul><li>Design and implement scalable, serverless data pipelines using AWS services such as Glue, Lambda, Step Functions, Athena, and S3</li><li>Build and optimize ETL processes using Python/PySpark for efficient data transformations</li><li>Ingest and process structured and semi-structured data formats including JSON, Parquet, and CSV</li><li>Integrate with external APIs using REST protocols and OAuth2 authentication</li><li>Model analytical datasets with star/snowflake schemas, implement SCD Type 2, and define partitioning strategies for efficient query performance</li><li>Build and maintain a well-organized S3-based data lake structure to support analytics workloads</li><li>Apply best practices for version control, data quality, and automation using GitHub workflows</li><li>Drive technical design discussions and contribute to improving infrastructure, tooling, and data processes</li></ul>What We&rsquo;re Looking For<ul><li>2+ years of experince in Data Engineering</li></ul>Strong hands-on experience with AWS services &mdash; especially Glue, Lambda, S3, Step Functions, and Athena<ul><li>Solid command of Python/PySpark for building and managing ETL pipelines</li><li>Proven track record working with large-scale datasets and optimizing performance</li><li>Deep understanding of data modeling, transformations, and SQL for analytical use cases</li><li>Familiarity with REST APIs, OAuth2 authentication, and data integration patterns</li><li>Experience with Git, CI/CD, and workflow automation</li><li>A problem-solving mindset and a passion for scalable, efficient data engineering</li><li>Ability to work independently and collaborate across teams</li></ul>Tools &amp; Platforms<ul><li>Languages &amp; Frameworks: Python, PySpark</li><li>Cloud &amp; Tools: AWS Glue, Lambda, S3, Step Functions, Athena</li><li>Data Formats: JSON, Parquet, CSV</li><li>Modeling &amp; Querying: SQL, Star/Snowflake schemas</li><li>Version Control: Git, GitHub workflows</li></ul>Nice-to-Haves<ul><li>Experience with Apache Iceberg or Hudi for data lakehouse architectures</li><li>Knowledge of data quality frameworks like Great Expectations</li><li>Familiarity with Terraform/IaC for infrastructure automation</li><li>Background in e-commerce or analytics platforms</li><li>Exposure to performance tuning for large data workloads</li><li>Hands-on with Step Functions HTTP Task</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Engineering: 2 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Data Engineer

Confiz

<div>We are seeking a Machine Learning Engineer with 3-7 years of experience in the field. The ideal candidate will have a strong foundation in low-level machine learning skills, data science, and advanced AI techniques. You will be working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other state-of-the-art toolchains. Additionally, familiarity with cloud operations will be beneficial. If you are passionate about pushing the boundaries of AI and enjoy working on complex challenges, we want to hear from you.
Responsibilities:
<ul><li>Design, implement, and optimize machine learning models and algorithms, focusing on low-level techniques and cutting-edge AI methodologies.</li>
<li>Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to ensure high-quality input for machine learning models. LLM &amp; RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to create innovative solutions and enhance model performance.</li>
<li>Utilize and integrate modern toolchains and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to build and deploy machine learning models.</li>
<li>Manage and optimize machine learning workflows in cloud environments (e.g., AWS, Google Cloud, Azure), ensuring scalability and efficiency.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals and deliver high-impact solutions.</li>
</ul>
Requirements:
<ul><li>Minimum 3 years of professional experience in machine learning and AI engineering.</li>
<li>Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn). Strong understanding of machine learning algorithms, statistical analysis, and model evaluation techniques.</li>
<li>Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies, including fine-tuning and deployment.</li>
<li>Solid background in data science principles, including data preprocessing, feature engineering, and model selection.</li>
<li>Cloud Operations: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of cloud-based machine learning services and deployment strategies.</li>
<li>Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and version control systems (e.g., Git).</li>
<li>Strong analytical and problem-solving skills, with the ability to tackle complex challenges and derive actionable insights.</li>
<li>Excellent communication skills, with the ability to present technical concepts clearly and effectively to non-technical stakeholders.</li>
<li>Experience working in an Agile or iterative development environment is a plus.</li>
</ul>
We have a global team of amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. 
 
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. 
 
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</div>

Machine Learning Engineer

ibex

<div>
 
 
 Ibex
 
 , for one of its global clients, is seeking a
 
 Data Analyst
 
 with a
 
 Supply Chain background
 
 to join its Data Analytics team. In this role, you will process complex sets of data into our Claim Management tool, ensuring completeness and accuracy by running manual and automated checks and monitoring the effectiveness of upstream controls.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Process supply chain and operational data into the Company Claim Management tool with high accuracy, working with both internal and external stakeholders.
 </li>
 <li>
 Generate monthly insurance reports and weekly internal reports to support business operations.
 </li>
 <li>
 Analyze supply chain and operational performance to identify trends, inefficiencies, and opportunities for improvement.
 </li>
 <li>
 Develop and maintain KPI tracking tools to monitor performance across supply chain, customer service, and finance.
 </li>
 <li>
 Ensure data integrity and governance by maintaining accuracy and consistency across systems.
 </li>
 <li>
 Automate recurring reports and manual processes using
 
 SQL, Python, VBA, Tableau, and Power BI
 
 .
 </li>
 <li>
 Build reports, dashboards, and visualizations to support supply chain and business decision-making.
 </li>
 <li>
 Create process flows and documentation using
 
 Lucidchart and Visio
 
 to map supply chain and operational processes.
 </li>
 <li>
 Present insights and recommendations to senior leadership in a clear and actionable manner.
 </li>
 <li>
 Challenge and improve underlying/upstream operational processes through data analysis and process mapping.
 </li>
 </ul>
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Strong understanding of
 
 Supply Chain data and processes
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL, Python, and VBA
 
 for data extraction, transformation, analysis, and automation.
 </li>
 <li>
 Hands-on experience with
 
 Tableau, Power BI
 
 , and advanced Excel for dashboards, visualization, and reporting.
 </li>
 <li>
 Familiarity with
 
 Lucidchart and Visio
 
 for process mapping and workflow design.
 </li>
 <li>
 Strong programming,
 
 process mapping
 
 , and
 
 report building
 
 skills.
 </li>
 <li>
 Experience working with large datasets to identify trends, forecasts, and insights.
 </li>
 <li>
 Ability to translate business needs into data-driven supply chain solutions.
 </li>
 <li>
 Excellent communication skills, capable of presenting findings clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Detail-oriented, analytical, and proactive in problem-solving.
 </li>
 <li>
 Understanding of how data flows in an end-to-end reporting framework.
 </li>
 <li>
 Knowledge of API integrations for data extraction.
 </li>
 <li>
 Understanding of machine learning concepts and statistical modelling is a plus.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Supply chain, Data Analytics, Computer Science, or a related field
 
 .
 </li>
 <li>
 2&ndash;3 years&rsquo; experience as a Data Analyst (preferably in
 
 Supply Chain domain
 
 ).
 </li>
 <li>
 Strong background in supply chain functions and data analysis.
 </li>
 <li>
 Proven expertise in
 
 SQL, Python, VBA, Tableau, and Power BI
 
 .
 </li>
 <li>
 Experience with
 
 process mapping tools (Lucidchart, Visio)
 
 .
 </li>
 <li>
 Strong problem-solving skills with the ability to communicate technical findings to non-technical stakeholders.
 </li>
 <li>
 Self-starter with a continuous improvement mindset and a passion for using data to drive business value.
 </li>
 </ul>
 
 
</div>

Data Analyst (Supply Chain)

LN Technologies

N Technologies, a subsidiary of App Maisters Inc. USA, is an Enterprise App Development company that specializes in developing Mobility, Web, BI, and Cloud based solutions. With over 400 successful projects under our portfolio, we take pride in catering to the needs of all sizes and types of clients, from ambitious startups &amp; small businesses to large multinationals.We are looking for a passionate and self-driven Senior AI / ML Developer to join our growing team in Karachi. This is an exciting opportunity for individuals with a solid technical foundation who are eager to contribute to innovative AI-based solutions in a fast-paced startup environment.As part of our core development team, you will play a crucial role in the design, development, testing, and deployment of AI-driven applications. Ideal candidates should be comfortable working both independently and collaboratively, with a willingness to take ownership of key project components.Key Responsibilites:<ul><li>Moderate experience in Python:</li><li>Proficiency in Python programming language.</li><li>Demonstrated experience in developing and maintaining Python applications.</li><li>Familiarity with Python libraries and frameworks commonly used in AI development.</li><li>Proficiency in programming basics such as loops, conditional logic, file and package management:</li><li>Solid understanding of fundamental programming concepts and logic.</li><li>Ability to implement loops, conditional statements, and effectively manage files and packages.</li><li>Experience with version control systems like Git would be advantageous.</li><li>Knowledge of interacting with APIs, specifically OpenAI's APIs for embeddings and ChatGPT models:</li><li>Familiarity with RESTful API principles and experience in integrating and consuming APIs.</li><li>Understanding of OpenAI's APIs, including effective interaction with embeddings and ChatGPT models.</li><li>Ability to handle authentication, error handling, and data parsing while working with APIs.</li><li>Ability to work with various data formats including JSON, CSV, Parquet, and TXT:</li><li>Proficiency in handling and processing data in different formats, such as JSON, CSV, Parquet, and TXT.</li><li>Knowledge of data manipulation techniques, data cleaning, and data transformation using Python.</li><li>Experience with libraries like Pandas for efficient data handling and manipulation.</li><li>Familiarity with Command Line Interfaces and web apps for code testing:</li><li>Understanding of Command Line Interfaces (CLI) and experience in working with CLI tools for code testing, debugging, and deployment.</li><li>Knowledge of web application frameworks like Flask or Django for developing and testing code.</li><li>Ability to build and deploy code in a web app environment for efficient testing and validation.</li></ul>Shift Timings: 10:00 am - 7:00 pmJob Type: Full-timeJob Type: Full-timeApplication Question(s):<ul><li>What is your current gross salary?</li><li>What is your expected salary?</li><li>How many years have you worked in AI/ML?</li><li>How many years have you worked in a Software House in Mobile Apps as AI/ML?</li></ul>Work Location: In person

Sr. AI/ML Developer (Morning Shift)

Explore 604+ Data scientist in Karachi this September. Find roles across top companies and apply now to boost your career.

604 data scientist jobs IN Karachi

Data Analyst

Data Analyst

Data Analyst (Night Shift)

Data Engineer

Machine Learning Engineer

Data Analyst (Supply Chain)

Sr. AI/ML Developer (Morning Shift)