data engineer

business analyst

data analyst

junior sqa analyst

marketing analyst

senior data analyst

Web Applications & Data Integration Company

What You&rsquo;ll Do:<ul><li>Become the go-to expert for our Go-to-Market (GTM) engine, analyzing the full funnel from marketing spend and lead generation to sales conversion and customer lifetime value (LTV).</li><li>Transform complex data into compelling narratives and actionable insights for our executive, sales, and marketing leaders. Your work will be the foundation of our strategic decisions.</li><li>Partner with leadership to develop sophisticated forecasting models, set ambitious but achievable goals, and track performance against our OKRs.</li><li>Identify new growth opportunities by analyzing market trends, customer behavior, and product performance, presenting your findings with clarity and conviction.</li><li>Own the data stack for our commercial teams, ensuring data integrity and building the BI infrastructure (dashboards, reports) that serves as the single source of truth for our revenue organization.</li></ul>What You&rsquo;ll Bring (The Ideal Candidate):<ul><li>A deep curiosity and a relentless passion for using data to solve complex business problems.</li><li>7+ years of experience in a highly analytical role such as Business/Commercial Analyst, Revenue Operations, Sales Analytics, or a similar field.</li><li>Expert-level proficiency in SQL and BI visualization tools (Ideally Power BI and Zoho Analytics).</li><li>Proven experience analyzing SaaS sales funnels, marketing campaigns (CAC, LTV), and operational efficiency metrics.</li><li>An exceptional ability to communicate complex findings to non-technical stakeholders in a clear and persuasive manner.</li><li>A proactive, ownership-driven mindset. You don&rsquo;t wait to be asked; you seek out the next big question to answer.</li><li>Experience in a high-growth B2B SaaS environment is a huge plus.</li></ul>Must have: Masters in data science / data engineering or related field with focus on dataJob Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This position is for night shift 9pm to 6am PKT. Are you willing to proceed?</li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Commercial Data Analyst: 3 years (Preferred)</li></ul>Work Location: In person

Senior Commercial Data Analyst

WADIC

<div>What You&rsquo;ll Do:<ul><li>
Become the go-to expert for our Go-to-Market (GTM) engine, analyzing the full funnel from marketing spend and lead generation to sales conversion and customer lifetime value (LTV).</li><li>
Transform complex data into compelling narratives and actionable insights for our executive, sales, and marketing leaders. Your work will be the foundation of our strategic decisions.</li><li>
Partner with leadership to develop sophisticated forecasting models, set ambitious but achievable goals, and track performance against our OKRs.</li><li>
Identify new growth opportunities by analyzing market trends, customer behavior, and product performance, presenting your findings with clarity and conviction.</li><li>
Own the data stack for our commercial teams, ensuring data integrity and building the BI infrastructure (dashboards, reports) that serves as the single source of truth for our revenue organization.</li></ul>
What You&rsquo;ll Bring (The Ideal Candidate):<ul><li>
A deep curiosity and a relentless passion for using data to solve complex business problems.</li><li>
7+ years of experience in a highly analytical role such as Business/Commercial Analyst, Revenue Operations, Sales Analytics, or a similar field.</li><li>
Expert-level proficiency in SQL and BI visualization tools (Ideally Power BI and Zoho Analytics).</li><li>
Proven experience analyzing SaaS sales funnels, marketing campaigns (CAC, LTV), and operational efficiency metrics.</li><li>
An exceptional ability to communicate complex findings to non-technical stakeholders in a clear and persuasive manner.</li><li>
A proactive, ownership-driven mindset. You don&rsquo;t wait to be asked; you seek out the next big question to answer.</li><li>
Experience in a high-growth B2B SaaS environment is a huge plus.</li></ul>
Must have: 
Masters in data science / data engineering or related field with focus on data
Job Type: Full-time</div>

Magnatec Systems Private Limited

About the RoleWe are looking for a skilled and detail-oriented Business Analyst who can bridge the gap between business needs and technical solutions. The ideal candidate will play a key role in analyzing requirements, designing system workflows, and ensuring successful delivery of high-quality solutions.Key Responsibilities<ul><li>Act as a bridge between business stakeholders and the development team to ensure clear communication and alignment</li><li>Gather, analyze, and document requirements (BRD, FRD, use cases)</li><li>Translate business needs into functional and technical specifications</li><li>Create process flows, wireframes, and UI mockups where required</li><li>Work closely with developers to ensure accurate implementation</li><li>Manage multiple projects and priorities effectively</li><li>Support testing, validation, and User Acceptance Testing (UAT)</li><li>Track issues and ensure timely resolution</li><li>Assist in user training and post-implementation support</li><li>Contribute to improving system workflows and efficiency</li></ul>Requirements<ul><li>5+ years of experience as a Business Analyst / System Analyst / Functional Consultant</li><li>Strong understanding of Software Development Life Cycle (SDLC)</li><li>Experience in requirement gathering, documentation, and stakeholder management</li><li>Hands-on experience with UAT, process flows, and system design</li><li>Excellent communication and problem-solving skills</li><li>Ability to manage multiple projects simultaneously</li></ul>Good to Have<ul><li>Experience with ERP/CRM systems (Dynamics 365, SAP, Oracle, etc.)</li><li>Basic understanding of UI/UX principles or wireframing tools</li></ul>Work Location: In person

Senior Business Analyst - Female

HUMAN FORCE GROUP

We&rsquo;re Hiring: Senior Product Analyst (Part-Time | Remote)We are looking for a skilled and experienced Senior Product Analyst to join our team on a part-time, remote basis. If you&rsquo;re someone who can turn data into actionable insights and help drive product decisions, we&rsquo;d love to hear from you!Key Responsibilities:<ul><li>Analyze product performance, user behavior, and key metrics</li><li>Collaborate with clients, developers, and stakeholders</li><li>Define and track KPIs to measure success</li><li>Conduct A/B testing and optimize product features</li><li>Prepare reports and presentations for internal teams</li><li>Identify improvement areas and recommend solutions</li></ul>Requirements:<ul><li>5+ years of experience as a Product Analyst</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and presentation abilities</li><li>Experience with tools like Excel, SQL, Power BI, etc.</li><li>Ability to work independently in a remote setup</li><li>Solid understanding of product lifecycle &amp; user experience</li></ul>Preferred Skills:<ul><li>Experience in agile environments</li><li>Familiarity with tools like Google Analytics, Mixpanel</li><li>Basic understanding of product management principles</li></ul>Job Type: Part-timeWork Location: In person

Senior Product Analyst

Force Cloud LLC

We&rsquo;re Hiring: Senior Product Analyst (Remote)We are looking for a skilled and experienced Senior Product Analyst to join our team on a part-time, remote basis. If you&rsquo;re someone who can turn data into actionable insights and help drive product decisions, we&rsquo;d love to hear from you!Key Responsibilities:<ul><li>Analyze product performance, user behavior, and key metrics</li><li>Collaborate with clients, developers, and stakeholders</li><li>Define and track KPIs to measure success</li><li>Conduct A/B testing and optimize product features</li><li>Prepare reports and presentations for internal teams</li><li>Identify improvement areas and recommend solutions</li></ul>Requirements:<ul><li>5+ years of experience as a Product Analyst</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and presentation abilities</li><li>Experience with tools like Excel, SQL, Power BI, etc.</li><li>Ability to work independently in a remote setup</li><li>Solid understanding of product lifecycle &amp; user experience</li></ul>Preferred Skills:<ul><li>Experience in agile environments</li><li>Familiarity with tools like Google Analytics, Mixpanel</li><li>Basic understanding of product management principles</li></ul>Work Location: In person

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com) 
 
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.<ul><li>
Please note that all resumes should be submitted in English.</li></ul> 
We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
Key Responsibilities:<ul><li>
Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.</li><li>
Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.</li></ul> 

Requirements 
Required Education:
<ul><li>A Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!</li></ul> 
Required Experience:<ul><li>
4 to 7 years of experience as a Data Engineer.</li><li>
We value practical, hands-on expertise that goes beyond just theoretical knowledge.</li></ul>
Required Background / Industry Experience:
Required for both roles:<ul><li>
Experience working with cloud-based data platforms and environments</li><li>
Strong SQL skills with data modeling experience for data warehouses</li><li>
Strong Python skills (especially notebooks) for building and maintaining data workflows</li><li>
Experience developing and maintaining ETL/ELT processes</li><li>
Experience working with data warehouses used by reporting/business teams</li><li>
Experience using Git/GitHub for version control in collaborative environments</li><li>
Understanding of data engineering best practices:</li><li>
Pipeline orchestration and dependency management</li><li>
Data quality, validation, and monitoring fundamentals</li></ul>
Required for migration-focused role:<ul><li>
Hands-on data migration experience:</li><li>
Schema mapping and transformation</li><li>
Data reconciliation and validation (must be strong here)</li><li>
Data quality checks, integrity validation, and issue resolution</li><li>
Backfills and historical data handling</li><li>
Cutover planning and execution</li></ul>
Required for automation-focused role:<ul><li>
Experience building and maintaining automated data pipelines:</li><li>
Scheduling, orchestration, and failure handling</li><li>
Workflow reliability, monitoring, and repeatability</li></ul>
Preferred:<ul><li>
Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem</li><li>
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines</li><li>
Experience with data quality and observability practices:</li><li>
Validation frameworks, alerting, SLAs, monitoring</li><li>
Experience optimizing performance in data environments:</li><li>
Query tuning, partitioning, indexing, cost optimization</li><li>
Familiarity with modern data formats and large-scale processing:</li><li>
Parquet, Delta, incremental processing patterns</li><li>
Experience integrating with external systems:</li><li>
REST APIs, authentication, retries, error handling</li><li>
Exposure to CI/CD practices for data workflows:</li><li>
Git-based deployments, PR workflows, environment promotion</li></ul> 
Key Soft Skills:<ul><li>
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.</li><li>
Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes.</li><li>
Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
</li><li>Collaboration: works effectively across engineering, analytics, and business teams.</li><li>
Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).</li></ul> 
Technical Skills:<ul><li>
Proficiency in SQL, Python, cloud technologies, and data competency.</li></ul> 

Benefits 
<ul><li>
USD Base Salary.</li><li>
Enjoy Paid Time Off (PTO) after just 6 months of service.</li><li>
Full-time opportunity.</li><li>
Enjoy the freedom of a completely remote work environment!</li></ul></div>

Remote - Data Engineering Analyst

<div>
 
 About World Business Lenders (www.wbl.com)
 
 
 
 World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
 
 
 Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
 
 
 
 We're looking for someone with strong communication skills in both English, both spoken and written.
 
 
 
 <ul>
 <li>
 Please note that all resumes should be submitted in English.
 
 
 </li>
 </ul>
 
 We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors
 </li>
 <li>
 Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Education:
 
 
 
 <ul>
 <li>
 A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!
 
 
 </li>
 </ul>
 
 Required Experience:
 
 
 
 <ul>
 <li>
 4 to 7 years of experience as a Data Engineer
 </li>
 <li>
 We value practical, hands-on expertise that goes beyond just theoretical knowledge
 
 
 </li>
 </ul>
 
 Required Background / Industry Experience:
 
 
 
 
 Required for both roles:
 
 
 
 <ul>
 <li>
 Experience working with cloud-based data platforms and environments
 </li>
 <li>
 Strong SQL skills with data modeling experience for data warehouses
 </li>
 <li>
 Strong Python skills (especially notebooks) for building and maintaining data workflows
 </li>
 <li>
 Experience developing and maintaining ETL/ELT processes
 </li>
 <li>
 Experience working with data warehouses used by reporting/business teams
 </li>
 <li>
 Experience using Git/GitHub for version control in collaborative environments
 </li>
 <li>
 Understanding of data engineering best practices:
 </li>
 <li>
 Pipeline orchestration and dependency management
 </li>
 <li>
 Data quality, validation, and monitoring fundamentals
 
 
 </li>
 </ul>
 
 Required for migration-focused role:
 
 
 
 <ul>
 <li>
 Hands-on data migration experience:
 </li>
 <li>
 Schema mapping and transformation
 </li>
 <li>
 Data reconciliation and validation (must be strong here)
 </li>
 <li>
 Data quality checks, integrity validation, and issue resolution
 </li>
 <li>
 Backfills and historical data handling
 </li>
 <li>
 Cutover planning and execution
 
 
 </li>
 </ul>
 
 Required for automation-focused role:
 
 
 
 <ul>
 <li>
 Experience building and maintaining automated data pipelines:
 </li>
 <li>
 Scheduling, orchestration, and failure handling
 </li>
 <li>
 Workflow reliability, monitoring, and repeatability
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem
 </li>
 <li>
 Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines
 </li>
 <li>
 Experience with data quality and observability practices:
 </li>
 <li>
 Validation frameworks, alerting, SLAs, monitoring
 </li>
 <li>
 Experience optimizing performance in data environments:
 </li>
 <li>
 Query tuning, partitioning, indexing, cost optimization
 </li>
 <li>
 Familiarity with modern data formats and large-scale processing:
 </li>
 <li>
 Parquet, Delta, incremental processing patterns
 </li>
 <li>
 Experience integrating with external systems:
 </li>
 <li>
 REST APIs, authentication, retries, error handling
 </li>
 <li>
 Exposure to CI/CD practices for data workflows:
 </li>
 <li>
 Git-based deployments, PR workflows, environment promotion
 
 
 </li>
 </ul>
 
 Key Soft Skills:
 
 
 
 <ul>
 <li>
 Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders
 </li>
 <li>
 Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes
 </li>
 <li>
 Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
 </li>
 <li>
 Collaboration: works effectively across engineering, analytics, and business teams
 </li>
 <li>
 Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools)
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Proficiency in SQL, Python, cloud technologies, and data competency
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 USD Base Salary
 </li>
 <li>
 Enjoy Paid Time Off (PTO) after just 6 months of service
 </li>
 <li>
 Full-time opportunity
 </li>
 <li>
 Enjoy the freedom of a completely remote work environment!
 </li>
 </ul>
</div>

Explore 887+ Senior data analyst in Lahore this May. Find roles across top companies and apply now to boost your career.

887 senior data analyst jobs In Lahore

Senior Commercial Data Analyst

Senior Commercial Data Analyst

Senior Business Analyst - Female

Senior Product Analyst

Senior Product Analyst

Remote - Data Engineering Analyst

Remote - Data Engineering Analyst