business analyst

senior business analyst

data analyst

data analyst i

senior data scientist

senior data analyst

PremierBPO

<div></div><div><div><div><div><div><div>We are seeking an experienced Senior EDI Analyst to manage and optimize our Electronic Data Interchange (EDI) processes. The ideal candidate will be responsible for the end-to-end implementation, maintenance, and support of EDI solutions to ensure seamless communication between internal systems and external partners. The Senior EDI Analyst will work closely with various stakeholders, including business units, IT, and third-party vendors, to ensure accurate data exchange and troubleshooting of any integration issues.
</div><div><h2 class="jobSectionHeader">Key Responsibilities</h2></div><div><ul>
<li>EDI Implementation &amp; Support: Oversee the implementation, configuration, and support of EDI solutions for business processes. Ensure smooth data exchanges with customers, suppliers, and partners.</li>
<li>Troubleshooting: Provide technical support for EDI-related issues, analyzing logs and data to resolve errors and ensure timely processing of documents.</li>
<li>EDI Integration: Collaborate with business units to integrate EDI processes into ERP systems and ensure efficient data flow between systems.</li>
<li>Data Quality &amp; Compliance: Ensure EDI transactions are compliant with industry standards (e.g., X12, EDIFACT) and follow best practices to maintain data accuracy and integrity.</li>
<li>Vendor Management: Communicate with third-party EDI vendors to address issues and manage upgrades, patches, and enhancements.</li>
<li>Process Optimization: Continuously monitor and improve the EDI processes to increase efficiency, reduce errors, and support the company's evolving needs.</li>
<li>Documentation &amp; Reporting: Create and maintain detailed documentation for EDI processes and procedures. Provide reports on EDI performance and issue resolutions to senior management.</li>
<li>Cross-functional Collaboration: Work closely with IT, operations, and other business units to ensure proper communication and alignment of EDI processes with business requirements.</li>
</ul></div><div><h2 class="jobSectionHeader">Qualifications</h2></div><div>
Education: Bachelor's degree in Computer Science, Information Technology, Business, or related field. Equivalent experience may be considered.
<h3 class="jobSectionHeader">
Experience</h3>
<ul><li>Minimum of 5+ years of hands-on experience in EDI analysis, configuration, and troubleshooting.</li>
<li>Strong understanding of EDI standards (X12, EDIFACT, ANSI, etc.).</li>
<li>Familiarity with integration tools is a plus.</li>
</ul><h3 class="jobSectionHeader">Technical Skills</h3>
<ul><li>Proficiency in EDI translation tools, and protocols.</li>
<li>Strong understanding of data formats and structures used in EDI, XML.</li>
<li>Working knowledge of ERP systems.</li>
</ul><h3 class="jobSectionHeader">Soft Skills</h3>
<ul><li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.</li>
<li>Detail-oriented and proactive in identifying and resolving issues.</li>
<li>Ability to work independently and as part of a team in a fast-paced environment.</li>
</ul><h3 class="jobSectionHeader">Preferred Skills</h3>
<ul><li>Experience in logistics EDI billing.</li>
<li>Knowledge of cloud-based EDI solutions and integration platforms.</li>
</ul><h3 class="jobSectionHeader">Working Conditions</h3>
<ul><li>Full-time remote position with (EST Time Zone).</li>
</ul></div><div><h2 class="jobSectionHeader">What We Offer</h2></div><div><ul>
<li>Market-competitive salary</li>
<li>Career growth opportunities</li>
<li>Learning &amp; development programs</li>
<li>On-the-job training</li>
<li>Medical Coverage (IPD)</li>
<li>Life Insurance</li>
<li>Paid Leaves (Annual, Casual, Sick, Marriage, Maternity, Paternity, Hajj, Bereavement)</li>
<li>Provident Fund</li>
<li>Employee Old Age Benefits (EOBI)</li>
<li>Employee engagement &amp; wellness initiatives</li>
</ul>
</div><div>Location: NASTP, Lahore</div></div></div></div></div></div><div></div>

Senior EDI Analyst

Phaedra Solutions

Senior Business Analyst (Pre-Sales &amp; Solutions)Location: Lahore (On-site) Experience: 10 Years Employment Type: Full-timeWe are seeking an experienced Senior Business Analyst with strong expertise in pre-sales, strategic client engagement, and solution collaboration within the technology services industry. The ideal candidate has worked closely with Solution Architects to translate business needs into structured technical documentation and solution blueprints.You will play a pivotal role in bridging business objectives with technical execution&mdash;ensuring solutions are feasible, scalable, and aligned with client expectations. Candidates familiar with AI-driven business tools, automation platforms, and data-driven decision-making will be preferred, as the company continues to integrate AI-assisted workflows across its operations.Key Responsibilities1. Pre-Sales Support &amp; Solution Collaboration<ul><li>Partner with the Solution Architect and Sales teams to thoroughly understand client goals, technical requirements, and project scope.</li><li>Support the preparation of technical proposals, project estimates, and Statements of Work (SOWs), ensuring clarity and alignment with client needs.</li><li>Conduct discovery sessions, stakeholder interviews, and requirement-gathering workshops to identify pain points and business opportunities.</li><li>Collaborate with cross-functional teams to design value-driven solutions and roadmaps.</li><li>Contribute to AI-enhanced proposal creation and client analysis using automation or intelligent research tools.</li><li>Assist in preparing RFP/RFI responses, case studies, and pre-sales decks in coordination with marketing and delivery teams.</li></ul>2. Business Analysis &amp; Documentation<ul><li>Develop detailed Business Requirement Documents (BRDs), functional specifications (FRDs), user stories, and workflow diagrams.</li><li>Validate requirements through continuous stakeholder feedback and ensure technical feasibility with Solution Architects.</li><li>Maintain version-controlled documentation and ensure traceability across all project phases.</li><li>Use AI-based tools for data analysis, process optimization, and documentation quality improvement.</li></ul>3. Stakeholder &amp; Client Engagement<ul><li>Serve as the key liaison between clients, delivery, and technical teams, ensuring transparency and consistency in communication.</li><li>Present findings, insights, and proposed solutions to both technical and non-technical audiences.</li><li>Build long-term relationships through consultative communication, business acumen, and reliability.</li></ul>4. Process Improvement &amp; Innovation<ul><li>Identify opportunities to enhance internal pre-sales and documentation workflows through AI automation and analytics tools.</li><li>Recommend new technologies or process improvements to strengthen solution delivery.</li><li>Stay informed about AI trends, digital transformation practices, and evolving client needs to inform solution discussions.</li></ul>Qualifications and SkillsRequired Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Business Administration, Information Technology, or a related field.</li><li>10 years of professional experience as a Business Analyst, preferably in IT services, with significant exposure to pre-sales and collaboration with Solution Architects.</li><li>Strong understanding of software development lifecycles (SDLC), Agile methodologies, and solution design principles.</li><li>Proven experience working with or alongside Solution Architects on technical discovery and pre-sales documentation.</li><li>Exposure to or proficiency in AI tools (e.g., ChatGPT, Jasper, Notion AI, ClickUp AI, or similar) for research, analysis, and workflow optimization.</li><li>Exceptional analytical, documentation, and communication skills.</li></ul>Key Skills<ul><li>Strong expertise in business analysis, pre-sales documentation, and client scoping.</li><li>Proficiency in JIRA, Confluence, Figma, Miro, or similar collaboration tools.</li><li>Familiarity with AI-driven productivity tools for research, document generation, and data visualization.</li><li>Solid grasp of solution design fundamentals (APIs, integrations, cloud platforms).</li><li>Excellent presentation, negotiation, and client management skills.</li><li>Strong problem-solving, multitasking, and cross-functional collaboration abilities.</li></ul>Why Join Us?<ul><li>Collaborate closely with Solution Architects, Sales Leaders, and Technical Experts on global projects.</li><li>Be part of a forward-thinking organization embracing AI-powered workflows and innovation.</li><li>Work on diverse, high-impact projects across multiple industries.</li><li>Join a collaborative, people-first culture that values ownership, learning, and professional growth.</li><li>Competitive salary package and performance-based career advancement.</li></ul>Job Type: Full-timeWork Location: In person

Senior Business Analyst

Ceptrum

Job Title: Financial Report Writing Analyst.(US-Based Experience Mandatory)Location: Onsite (DHA Phase 3)Experience Required: 2&ndash;3 YearsSalary Range: PKR 90,000 &ndash; 130,000Job Descriptions: About the RoleWe are seeking a skilled and experienced Senior Data Analyst to join our team. The ideal candidate will have a strong background in data analytics, data management, and data reporting within the healthcare sector, with specific expertise in EHR applications like eClinicalWorks (eCW). This role will support healthcare grant-funded programs, such as AIDS Institute Reporting System (AIRS), eShare, and others, ensuring that data integrity, reporting, and analysis are top priorities.Key Responsibilities:<ul><li>Minimum 2 years of experience in data analytics, management, and reporting.</li><li>Expertise in IBM Cognos, MSSQL, MS PowerBI.</li><li>Proficiency in EHR applications, with eClinicalWorks (eCW) preferred.</li><li>Understanding of systems analysis, workflow design, and data integrity techniques. Experience with healthcare grant-funded programs like AIDS Institute Reporting System (AIRS), eShare, CDC, Cerberus, and NYS Health.</li><li>Strong background in Business Intelligence software and database development/management.</li><li>Experience with Project Management Methodology.</li><li>Excellent communication and interpersonal skills.</li><li>Work closely with clinical, financial, and operational data to identify trends and key insights in healthcare services.</li><li>Collaborate with program managers to compile and submit detailed, timely reports on the status and progress of grant-funded programs.</li><li>Develop, manage, and maintain network-wide databases, ensuring compatibility and data entry consistency across systems.</li><li>Serve as a liaison with external regulatory agencies to ensure contractual compliance in data reporting and submissions.</li><li>Manage patient information, conduct in-depth analysis, and provide recommendations for program improvements.</li><li>Create and maintain statistical and operational reports for internal and external stakeholders.</li><li>Develop, test, configure, and update EHR data fields, templates, and reports utilizing tools such as eBO registries.</li><li>Provide training sessions and documentation for system users on EHR configurations and database use.</li><li>Troubleshoot system and workflow issues, recommending enhancements and solutions to improve overall performance.</li><li>Work closely with IT Management and other departments to troubleshoot daily operations and assist in database integration with EHR systems.</li></ul>*Job Type: Full-timePay: Rs90,000.00 - Rs135,000.00 per monthWork Location: In person

Financial Report Writing Analyst (US based experience is mandatory)

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
 </li>
 <li>
 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
 </li>
 <li>
 Conducting full lifecycle analysis to include requirements, activities and design
 </li>
 <li>
 Define KPIs metrics and drive the data governance through standardisation and communication
 </li>
 <li>
 Extract data and share it with stakeholders using Dashboards/Reports or Google Sheets, mentor and review similar reports work of more junior members
 </li>
 <li>
 Create the documentation and presentation for the management
 </li>
 <li>
 Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements
 </li>
 <li>
 Adapt at queries, report writing and presenting findings
 </li>
 <li>
 Research and validation of entity data using appropriate internal and external data sources
 </li>
 <li>
 Validating entity reference data in a central account database
 </li>
 <li>
 Exceptional management reconciliation and reporting
 </li>
 <li>
 Analysis, specification, testing and implementation of interfaces, workflow solutions, and reference data solutions &ndash; An example would be regression testing systems ahead of upgrades
 </li>
 <li>
 Ownership of allocated work throughout its entire life cycle
 </li>
 <li>
 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)
 </li>
 <li>
 Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going strategies
 </li>
 <li>
 Responsible for data quality and timely delivery of reports that make common business sense
 </li>
 <li>
 Create and maintain documentation for analytics, tools, and processes to ensure effective transition to end user
 </li>
 <li>
 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
 </li>
 <li>
 Experience in e-commerce, internet and/or digital media
 </li>
 <li>
 Experience building, implementing and/or maintaining predictive models on very large datase
 </li>
 <li>
 Proficient in SQL and Microsoft Excel
 </li>
 <li>
 Skills in Python, R or similar tools are a big plus
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
 </li>
 <li>
 Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations
 </li>
 <li>
 Written and verbal proficiency in English
 </li>
 </ul>
</div>

Senior Business Intelligence Analyst

Techorphic

Techorphic Pvt. Ltd. is a rapidly growing software development and SaaS company building AI-powered platforms, mobile apps, enterprise systems, and multi-tenant solutions for global clients. Our projects span across fintech, ad-tech, health-tech, productivity tools, marketplaces, and more.We are expanding our product and engineering teams and looking for a Business Analyst with strong software engineering understanding who can translate ideas into clear requirements, processes, and documentation for developers. We are hiring a Business Analyst (BA) who understands both business logic and software development workflows. You will work closely with Product Managers, Developers, QA, and Stakeholders to define requirements, create user stories, and ensure smooth delivery of technical projects.This role requires someone who can think analytically, document clearly, and communicate effectively with technical teams.Key Responsibilities1. Requirements Gathering &amp; Documentation<ul><li>Conduct requirement sessions with clients, stakeholders, and internal teams.</li><li>Convert ideas into clear BRDs (Business Requirement Documents), FRDs, SRS, process flows, and detailed system specs.</li><li>Create user stories, epics, use cases, and acceptance criteria in Jira/Asana.</li></ul>2. Product &amp; Feature Planning<ul><li>Understand business goals and convert them into actionable product features.</li><li>Build wireframes, basic mockups, and UX flows for new features.</li><li>Work with product managers to define sprint backlogs and roadmaps.</li></ul>3. Technical Communication<ul><li>Bridge communication between engineering teams and stakeholders.</li><li>Explain business needs in technical language developers can follow.</li><li>Ensure feasibility by collaborating with developers, architects, and QA.</li></ul>4. Process Mapping &amp; Optimization<ul><li>Create end-to-end process diagrams (BPMN, flowcharts, sequence diagrams).</li><li>Identify inefficiencies and propose technical solutions.</li></ul>5. QA Support &amp; UAT<ul><li>Prepare test cases, acceptance tests, and support QA team in validating features.</li><li>Assist stakeholders during UAT and ensure requirements are met before release.</li></ul>6. Continuous Improvement<ul><li>Maintain product documentation repository.</li><li>Ensure all changes are version-controlled and clearly communicated.</li><li>Recommend improvements in product workflows and user experience.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or IT (Preferred).</li><li>2&ndash;4+ years of experience as a Business Analyst in a software company.</li><li>Strong understanding of SDLC, Agile, Scrum, and technical environments.</li><li>Ability to create BRDs, SRS, user stories, acceptance criteria, workflows, wireframes.</li><li>Familiarity with tools like Jira, Asana, Figma, Lucidchart, Miro.</li><li>Excellent communication, analytical thinking, and documentation skills.</li></ul>Preferred Qualifications<ul><li>Experience in SaaS, multi-tenant platforms, AI-based systems, or mobile apps.</li><li>Understanding of APIs, databases, integrations, and backend/frontend architectures.</li><li>Ability to create low-fidelity mockups and diagrams independently.</li></ul>What We Offer<ul><li>Competitive salary</li><li>Professional growth and career development</li><li>Opportunity to work on international SaaS products</li><li>Collaborative and supportive environment</li><li>Annual bonuses + paid leaves</li><li>Training and certifications support</li></ul>Job Type: Full-timeWork Location: In person

Osol

<div>
 
 
 Company Overview
 
 
 
 Osol Tech Pvt. Ltd. is a fast-growing software development and professional services company, pioneering AI/ML-driven innovation across industries. We empower organizations in manufacturing, healthcare, retail, and e-commerce to make smarter, data-driven decisions through advanced analytics, predictive modeling, and AI solutions. Our culture fosters continuous learning, collaboration, and innovation at scale.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a Senior Data Scientist to lead the design and implementation of advanced analytics and data science solutions. This role requires a strong foundation in statistics, machine learning, data engineering, and domain-driven problem solving.
 
 
 
 
 
 The ideal candidate will have experience building end-to-end data science solutions &mdash; from exploratory data analysis and feature engineering to production-ready models and business insights. You will collaborate closely with engineers, analysts, and business stakeholders to drive measurable outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and evaluate predictive and prescriptive models (regression, classification, forecasting, clustering, recommendation systems).
 </li>
 <li>
 Apply advanced ML methods (gradient boosting, ensemble models, transformers for tabular/text, probabilistic models).
 </li>
 <li>
 Conduct A/B tests and causal inference to measure business impact.
 </li>
 <li>
 Perform exploratory data analysis (EDA) using statistical and visualization tools.
 </li>
 <li>
 Translate data findings into actionable insights with clear storytelling for non-technical audiences.
 </li>
 <li>
 Build dashboards and reports to support decision-making.
 </li>
 <li>
 Work with SQL, Spark, Dask, or BigQuery to process and transform large datasets.
 </li>
 <li>
 Collaborate with data engineers to ensure high-quality, reliable data pipelines.
 </li>
 <li>
 Apply feature engineering, data augmentation, and missing data handling strategies.
 </li>
 <li>
 Contribute to model deployment using MLflow, SageMaker, Vertex AI, or Azure ML.
 </li>
 <li>
 Support model monitoring and retraining strategies.
 </li>
 <li>
 Use Python (Pandas, NumPy, Scikit-learn, Statsmodels, PyTorch/TensorFlow), R, SQL, and Jupyter for analysis and modeling.
 </li>
 <li>
 Use visualization &amp; BI tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau, Looker).
 </li>
 <li>
 Track experiments with MLflow, DVC, or Weights &amp; Biases.
 </li>
 <li>
 Partner with product managers and business teams to frame problems and define success metrics.
 </li>
 <li>
 Mentor junior data scientists and analysts.
 </li>
 <li>
 Champion data-driven decision-making across the organization.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Strong programming skills in Python and SQL; familiarity with R or Julia is a plus.
 </li>
 <li>
 Solid foundation in statistics, probability, linear algebra, and hypothesis testing.
 </li>
 <li>
 Experience with machine learning techniques (supervised/unsupervised learning, ensembles, time series).
 </li>
 <li>
 Proficiency with data visualization and ability to communicate insights effectively.
 </li>
 <li>
 Hands-on experience with big data tools (Spark, Dask, BigQuery).
 </li>
 <li>
 Cloud experience with AWS, GCP, or Azure for data science workflows.
 </li>
 <li>
 Familiarity with version control (Git), experiment tracking, and reproducible workflows.
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills.
 </li>
 <li>
 Proven ability to mentor junior engineers and lead initiatives.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Domain expertise in manufacturing, healthcare, retail, or e-commerce applications.
 </li>
 <li>
 Experience with NLP or computer vision applied to data-rich use cases.
 </li>
 <li>
 Hands-on experience with causal inference, Bayesian methods, or reinforcement learning for experimentation.
 </li>
 <li>
 Prior open-source contributions, publications, or patents.
 </li>
 <li>
 Experience with BI/analytics strategy and executive-level presentations.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
 
 
 &bull; PhD or strong research experience is a plus, but not required.
 
 
 &bull; 5&ndash;7+ years of professional experience in data science or advanced analytics, with evidence of driving business impact.
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 High-impact data science projects that solve real-world problems.
 </li>
 <li>
 Continuous learning opportunities with cloud credits, courses, and conference sponsorships.
 </li>
 <li>
 Competitive salary, benefits, and performance-based incentives.
 </li>
 <li>
 Flexible hybrid/remote working environment.
 </li>
 <li>
 A culture of collaboration, innovation, and knowledge sharing.
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist

Al Fatah Travel & Tour

We are seeking an exceptionally skilled Data Analyst to join our Finance team. This role is crucial for transforming large, complex financial data sets into clear, strategic insights for budgeting, forecasting, and performance management. Success in this position requires expert-level mastery of Microsoft Excel and a strong analytical mindset.Key Responsibilities:<ul><li>Analyze revenue, expense, and budget variance data to support financial reporting and forecasting.</li><li>Design and manage dynamic financial models and detailed variance reports.</li><li>Utilize expert-level Excel skills to manipulate and analyze large datasets efficiently.</li><li>Routinely employ functions like VLOOKUP, INDEX/MATCH, and SUMIFS.</li><li>Develop and audit robust Pivot Tables and implement advanced Conditional Formatting for reporting.</li><li>Extract, validate, and ensure the accuracy of financial data from various ERP systems.</li><li>Present analytical findings and actionable recommendations to senior finance leadership.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s degree in Finance, Accounting, Economics, or a related field.</li><li>2 years of experience in a Data Analyst or Financial Analyst role.</li></ul>Technical Expertise (Mandatory):<ul><li>Proven, expert-level proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, Conditional Formatting are required).</li><li>Experience with financial planning and budgeting cycles.</li><li>Familiarity with financial systems (Catalyst).</li></ul>Job Type: Full-timePay: Rs40,000.00 - Rs60,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data analyst: 2 years (Required)</li></ul>Work Location: In person

Data Analyst

Explore 1421+ Senior data analyst in Lahore this December. Find roles across top companies and apply now to boost your career.

1421 senior data analyst jobs IN Lahore

Senior EDI Analyst

Senior Business Analyst

Financial Report Writing Analyst (US based experience is mandatory)

Senior Business Intelligence Analyst

Senior Business Analyst

Senior Data Scientist

Data Analyst

Senior EDI Analyst