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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>

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

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

Bionic Talent

<div>
 
 About the client:
 
 
 
 Our client is a US-based digital marketing agency that helps home service businesses grow through SEO, paid ads, and high-performing websites. They build lead-generating sites designed to drive traffic, convert visitors, and support overall marketing growth.
 
 
 
 About the role:
 
 
 
 Our client is looking for a
 
 Web Developer &amp; Analyst
 
 to build and optimize high-performing, lead-generating websites for their clients. This role is ideal for someone skilled in front-end development, technical SEO, and site performance, who takes ownership from build to launch and continuously improves results.
 
 
 
 Experience In a Digital Marketing Agency Is Required.
 
 
 
 
 Experience in the home service industry is preferred.
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 <ul>
 <li>
 Build, launch, and optimize high-converting websites and landing pages end-to-end
 </li>
 <li>
 Implement technical SEO, site speed optimization, and Core Web Vitals improvements
 </li>
 <li>
 Set up and validate tracking &amp; analytics (GA4, GTM, pixels, call tracking)
 </li>
 <li>
 Manage CRM/automation integrations, form routing, site migrations, and clean deployments
 </li>
 <li>
 Run QA checks to ensure sites launch correctly and perform optimally
 </li>
 <li>
 Continuously analyze site performance and make data-driven improvements
 </li>
 <li>
 Use AI tools to accelerate development, testing, and technical tasks
 
 
 </li>
 </ul>
 
 Who are we looking for?
 
 
 
 <ul>
 <li>
 3+ years of experience with WordPress custom builds and modern front-end development
 </li>
 <li>
 Proficient in page builders (Breakdance, Elementor) and CRO optimization
 </li>
 <li>
 Solid understanding of technical SEO, site speed, and structured site architecture
 </li>
 <li>
 Skilled in analytics setup, tracking validation, and integrations
 </li>
 <li>
 Experience with CRM/automation tool connections and form workflows
 </li>
 <li>
 Fast, proactive, execution-focused &mdash; suggests improvements and owns delivery
 </li>
 <li>
 Comfortable using AI tools to streamline work and boost productivity
 
 
 </li>
 </ul>
 
 Position: Web Developer &amp; Analyst
 
 
 
 
 Remote Status:
 
 Fully Remote
 
 
 
 Working Hours:
 
 9 am - 5 pm EST
 
 
 
 Holidays:
 
 US Federal Holidays
 
 
 
 Salary:
 
 USD 1400 - USD 1700
 
 
 
 Internal Job ID:
 
 1227
</div>

Web Developer & Analyst - 1227 - Lahore, Pakistan

Global Engineering Services

Engineering Change Order (ECO) Analyst (Nght Shift)Company: Global Engineering Services Location: Gulberg 3, Lahore, PakistanReporting To: Team Lead System Admin DepartmentWorking Hours: Night Shift: 9:00 PM &ndash; 6:00 AM (Mon&ndash;Fri)Job Overview:The Engineering Change Order (ECO) Analyst is responsible for managing and coordinating engineering change processes to ensure timely and accurate implementation of product and documentation revisions. The role involves collaborating with cross-functional teams to control, track, and communicate engineering changes that impact manufacturing, design, supply chain, and quality systems. The ECO Analyst ensures compliance with company policies, regulatory standards, and documentation requirements to maintain product integrity and configuration control.Key responsibilities:<ul><li> Manage end-to-end Engineering Change Order (ECO) process within ERP/PLM systems (initiation to closure)</li><li> Review change requests for accuracy, completeness, and compliance with standards</li><li> Coordinate ECO review, approvals, release, and track implementation across departments</li><li> Maintain engineering documentation (drawings, BOMs, specifications) with strict revision control and archiving</li><li> Ensure proper versioning, naming conventions, and approval workflows</li><li> Collaborate with Engineering, Manufacturing, Quality, Supply Chain, and PM teams to assess change impact</li><li> Facilitate cross-functional ECO reviews and communicate approved changes to stakeholders/suppliers</li><li> Maintain ECO records, generate status reports, metrics, and management summaries</li><li> Identify process improvements to optimize ECO cycle time and workflow efficiency</li><li> Support audits with accurate documentation and full traceability</li><li> Ensure compliance with ISO and internal standards; support training on ECO procedures and tools</li></ul>Qualifications:Education: Requires a Bachelor&rsquo;s degree and a minimum of 2 years of related experience  Experience: Knowledge of ERP software and methodology is must.Skills:<ul><li>Ability to prioritize and manage multiple ECOs simultaneously in a fast-paced environment.</li><li>Familiar with complex BOM structures.</li><li>Excel and Word proficient.</li></ul>Work Location: In person

Engineering Change Order (ECO) Analyst (Night Shift)

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663 remote data engineering analyst jobs In Lahore

Remote - Data Engineering Analyst

Remote - Data Engineering Analyst

Senior Product Analyst

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Web Developer & Analyst - 1227 - Lahore, Pakistan

Engineering Change Order (ECO) Analyst (Night Shift)