data scientist

business analyst

senior - data scientist

senior analyst operations

senior data engineer

senior data analyst

Tkxel

<div>
 We are seeking a highly skilled and experienced Business Analyst / Senior Business Analyst to join our team. The ideal candidate will have a solid background in agile methodologies and documentation practices, along with strong verbal and written communication skills. You will play a pivotal role in gathering, analyzing, and documenting requirements, while ensuring effective collaboration between stakeholders and development teams.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Work closely with stakeholders to understand business needs and translate them into clear, actionable requirements.
 
 </li>
 <li>
 Create and maintain documentation such as Business Canvas Models, BPMs, User Stories, and other relevant artifacts in an agile environment.
 
 </li>
 <li>
 Collaborate with cross-functional teams to ensure requirements are understood and delivered effectively.
 
 </li>
 <li>
 Facilitate agile ceremonies (e.g., sprint planning, backlog grooming, daily stand-ups) and provide support throughout the project lifecycle.
 
 </li>
 <li>
 Utilize project management tools like Jira, Asana, and Dev Ops for tracking project progress and managing tasks.
 
 </li>
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 Ensure alignment of project deliverables with business objectives and priorities.
 
 </li>
 <li>
 Communicate project updates, risks, and progress to stakeholders, ensuring transparency and clarity.
 
 </li>
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 Contribute to continuous improvement initiatives within the team and the organization.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 6+ years of relevant experience.
 
 </li>
 <li>
 Bachelor's degree in Computer Science, Business, or a related field.
 
 </li>
 <li>
 Proven experience as a Business Analyst or Senior Business Analyst, ideally across multiple industries.
 
 </li>
 <li>
 Strong knowledge of agile methodologies and terminology.
 
 </li>
 <li>
 Experience with agile documentation practices, including Business Canvas Models, BPMs, and User Stories.
 
 </li>
 <li>
 Proficiency in using project management tools such as Jira, Asana, and Dev Ops.
 
 </li>
 <li>
 Excellent communication skills, both verbal and written.
 
 </li>
 <li>
 Cross-industry experience is preferred.
 
 </li>
 <li>
 Relevant certifications in business analysis or agile methodologies (e.g., CBAP, PMI-PBA, Scrum Master) are a plus.
 
 </li>
 </ul>
</div>

Senior Business Analyst

Dubizzle Labs

<div>
 As a Senior Data Analyst, you will be in a central position as you will be evangelizing data and our methodologies to other functional analysts and other stakeholders in the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a high pace environment that is professional, international and entrepreneurial.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Accessing data, constructing and manipulating large datasets to support planned analyses, using SQL, Python and similar tools
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 Designing and developing BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organizational metrics and indicators using best practices and industry standards
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 Conducting full lifecycle analysis to include requirements, activities and design
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 Define KPIs metrics and drive the data governance through standardisation and communication
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 Extract data and share it with stakeholders using Dashboards/Reports or Google Sheets, mentor and review similar reports work of more junior members
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 Create the documentation and presentation for the management
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 Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements
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 Adapt at queries, report writing and presenting findings
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 Research and validation of entity data using appropriate internal and external data sources
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 Validating entity reference data in a central account database
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 Exceptional management reconciliation and reporting
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 Analysis, specification, testing and implementation of interfaces, workflow solutions, and reference data solutions &ndash; An example would be regression testing systems ahead of upgrades
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 Ownership of allocated work throughout its entire life cycle
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 Develop new models to address business needs, as well as identify and implement improvements to existing solutions; projects are diverse and can take several forms (e.g. simulation, linear/non-linear optimization, prediction, machine learning)
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 Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going strategies
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 Responsible for data quality and timely delivery of reports that make common business sense
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 Create and maintain documentation for analytics, tools, and processes to ensure effective transition to end user
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 Prepare and deliver Data Analytics &amp; Reporting trainings to evangelise data across the organisation
 </li>
 <li>
 Be able to work autonomously without supervision on complex projects
 </li>
 <li>
 Mentor junior team members, review and validate their output
 
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in statistics, mathematics, computer science, business/economics or related field. Masters is a plus
 </li>
 <li>
 3+ year work experience in analytics, having closely worked with product and commercials in an internet/e-commerce company
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 Experience in e-commerce, internet and/or digital media
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 Experience building, implementing and/or maintaining predictive models on very large datase
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 Proficient in SQL and Microsoft Excel
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 Skills in Python, R or similar tools are a big plus
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 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
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 Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations
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 Written and verbal proficiency in English
 </li>
 </ul>
</div>

Senior Business Intelligence Analyst

Web Applications & Data Integration Company

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics - BI Experience Must Location: College Road, Township, Lahore Job Type: Full-Time Working Hours: 9:00 PM &ndash; 6:00 AM PKT Department: Data &amp; Analytics Reports To: Data Analytics ManagerPosition OverviewWe are looking for a highly skilled Senior Data Scientist with strong expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analytics. The ideal candidate will possess exceptional analytical abilities and technical depth to manage complex datasets, develop scalable data pipelines, and extract meaningful insights that drive strategic business decisions.You will collaborate with cross-functional teams to design robust data solutions, enhance reporting infrastructure, and lead data-driven initiatives that contribute to organizational growth and operational excellence.Key Responsibilities<ul><li>Collect, process, and transform structured and unstructured data from multiple sources including logs, APIs, and databases.</li><li>Design, implement, and maintain reliable data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Develop and manage Kibana dashboards for real-time analytics, monitoring, and visualization.</li><li>Conduct in-depth analysis of large datasets to identify patterns, trends, anomalies, and actionable business insights.</li><li>Write and optimize advanced MySQL queries to support analytical reporting and decision-making.</li><li>Partner with business stakeholders to define KPIs, metrics, and analytical objectives aligned with company goals.</li><li>Contribute to machine learning or predictive analytics projects where applicable.</li><li>Document data processes, pipelines, and insights to ensure transparency and reproducibility.</li><li>Provide mentorship to junior team members and contribute to overall data governance and quality initiatives.</li></ul>Required Qualifications<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical position.</li><li>Proven hands-on experience with the ELK Stack (Elasticsearch, Logstash, Kibana) in production environments.</li><li>Advanced proficiency in SQL with strong experience in MySQL optimization for large-scale queries.</li><li>Proficient in Python or R for data analysis and automation.</li><li>Solid understanding of data modeling, ETL processes, and data warehousing.</li><li>Excellent analytical thinking and the ability to communicate insights effectively to both technical and non-technical audiences.</li></ul>Preferred Skills<ul><li>Experience with big data tools such as Apache Spark or Hadoop.</li><li>Familiarity with cloud platforms (especially AWS) and their data/log management services.</li><li>Exposure to machine learning and predictive modeling techniques.</li><li>Domain knowledge in finance, healthcare, e-commerce, or SaaS industries (preferred but not mandatory).</li></ul>Why Join Us?Be part of a fast-paced, data-driven team where your expertise will help shape business strategy and drive operational excellence. If you&rsquo;re passionate about leveraging data to uncover insights and lead innovation in analytics and log intelligence, we&rsquo;d love to hear from you.Job Type: Full-timeJob Type: Full-timeWork Location: In person

Sr. Data Analyst - BI Experience is a MUST

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Senior Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid) 
 
Job Description: 
 
NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. 
 
Requirements:</h4><ul><li>
8+ years of overall professional experience.</li><li>
Expertise in data processing, visualization, and structuring.</li><li>
Proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets.</li><li>
Strong experience in designing and implementing sophisticated predictive models.</li><li>
Proficiency in Python, SQL, and other relevant programming languages and tools.</li><li>
Experience in managing teams and executing complex projects.</li><li>
Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders.</li><li>
Proven track record of driving business outcomes through data-driven decision-making.</li><li>
Experience in using LLMs (Large Language Models).</li></ul><h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>
Develop a deep understanding of the business domain.</li><li>
Gain comprehensive knowledge of customer&rsquo;s data.</li><li>
Build predictive reports from databases to aid in decision-making.</li><li>
Write scripts and queries to extract data, perform data processing, and create visualizations/reports.</li><li>
Assist in organizing and testing GenAI and other AI-related projects.</li><li>
Design and implement sophisticated predictive models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization.</li><li>
Conduct continuous improvement initiatives to enhance process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays.</li><li>
Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation.</li><li>
Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly.</li><li>
Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy.</li><li>
Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector.</li></ul> 
If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
gLfHZYLiqg</div>

Senior - Data Scientist

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Scientist
 
 
 
 Location:
 
 Lahore
 
 
 
 Job Type:
 
 Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of overall professional experience.
 </li>
 <li>
 Expertise in data processing, visualization, and structuring.
 </li>
 <li>
 Proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets.
 </li>
 <li>
 Strong experience in designing and implementing sophisticated predictive models.
 </li>
 <li>
 Proficiency in Python, SQL, and other relevant programming languages and tools.
 </li>
 <li>
 Experience in managing teams and executing complex projects.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders.
 </li>
 <li>
 Proven track record of driving business outcomes through data-driven decision-making.
 </li>
 <li>
 Experience in using LLMs (Large Language Models).
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop a deep understanding of the business domain.
 </li>
 <li>
 Gain comprehensive knowledge of customer&rsquo;s data.
 </li>
 <li>
 Build predictive reports from databases to aid in decision-making.
 </li>
 <li>
 Write scripts and queries to extract data, perform data processing, and create visualizations/reports.
 </li>
 <li>
 Assist in organizing and testing GenAI and other AI-related projects.
 </li>
 <li>
 Design and implement sophisticated predictive models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization.
 </li>
 <li>
 Conduct continuous improvement initiatives to enhance process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays.
 </li>
 <li>
 Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation.
 </li>
 <li>
 Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly.
 </li>
 <li>
 Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy.
 </li>
 <li>
 Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
</div>

Zepto Systems Limited

We are looking for a Business Analyst with a strong financial background to drive the vision, strategy, and delivery of innovative financial products and platforms. The ideal candidate will combine expertise in finance, data analytics, and product management to define requirements, manage development priorities, and ensure successful product outcomes aligned with business goals.Key Responsibilities<ul><li>Act as the primary liaison between business stakeholders and the development team.</li><li>Translate business and financial requirements into clear product features and user stories.</li><li>Define, maintain, and prioritize the product backlog based on business value and customer impact.</li><li>Collaborate closely with cross-functional teams (engineering, design, finance, compliance, and marketing).</li><li>Analyze financial data, KPIs, and customer behavior to inform product decisions.</li><li>Ensure all financial products comply with relevant regulations and internal governance policies.</li><li>Conduct competitive and market analysis to identify trends and opportunities in the financial domain.</li><li>Drive end-to-end product lifecycle from ideation to delivery and continuous improvement.</li><li>Support development and QA teams during sprints to clarify requirements and validate deliverables.</li><li>Communicate product vision, progress, and results to senior management and stakeholders.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Finance, Accounting, Economics, Business Administration, ACCA or a related field.</li><li>3&ndash;7 years of experience as a Business Analyst or Product Owner in the financial services, banking, or fintech sector.</li><li>Solid understanding of financial processes, such as payments, accounting, investments, loans, or risk management.</li><li>Experience working in Agile/Scrum environments.</li><li>Strong analytical and quantitative skills with the ability to interpret financial data.</li><li>Excellent communication, problem-solving, and stakeholder management skills.</li><li>Experience with financial modeling, data-driven decision-making, or regulatory compliance (e.g., KYC, AML) is a plus.</li></ul>Preferred Skills<ul><li>Proficiency in tools such as JIRA, Confluence, Power BI, Tableau, or similar platforms.</li><li>Knowledge of SQL or experience working with data analytics teams.</li><li>Exposure to AI-driven finance solutions, blockchain, or open banking concepts.</li><li>Professional certifications (e.g., CSPO, CFA, CPA, or PMI-ACP) are advantageous</li></ul>Job Type: Full-timePay: Rs300.00 - Rs400.00 per monthWork Location: In person

Senior/Principal Business Analyst

Harvester Services (Pvt.) Ltd.

Pay: 37,000.00 (PKR) - 50,000.00 (PKR) per monthJob description:Job Description: Harvester Services (Pvt.) Ltd. is looking to hire a Computer &amp; Data Specialist to assist with basic computer tasks and data management. The ideal candidate should have a working knowledge of computers and be comfortable using Microsoft Office tools like Word and Excel.Key Responsibilities:<ul><li>Perform data entry and maintain company records</li><li>Use Microsoft Office (Excel, Word, etc.) for reporting and documentation</li><li>Assist with routine computer operations in the office</li><li>Ensure accuracy and organization of digital files</li></ul>Requirements:<ul><li>Basic knowledge of computers and Windows operating systems</li><li>Familiarity with Microsoft Office (especially Excel and Word)</li><li>Attention to detail and good organizational skills</li><li>Minimum Intermediate or Bachelor's degree preferred</li></ul>Job Type: Full-time (9:00 am - 6:00 pm) Location: Office-based (Main Boulevard, Gulberg, Lahore)Job Type: Full-timeWork Location: In personJob Type: Full-timePay: Rs38,000.00 - Rs50,000.00 per monthWork Location: In person

Senior Computer and Data Specialist

Explore 1095+ Senior data analyst in Lahore this November. Find roles across top companies and apply now to boost your career.

1095 senior data analyst jobs IN Lahore

Senior Business Analyst

Senior Business Intelligence Analyst

Sr. Data Analyst - BI Experience is a MUST

Senior - Data Scientist

Senior - Data Scientist

Senior/Principal Business Analyst

Senior Computer and Data Specialist