data integration specialist

Vertiv

<div>At Vertiv, we design, manufacture, and service critical digital infrastructure technologies that keep the connected world running 24/7. Our portfolio spans power management, thermal management, and IT infrastructure solutions, complemented by a global network of service centers worldwide. We enable the world's vital applications &mdash; from data centers to communication networks to commercial and industrial environments &mdash; to continuously run.
The Global Operations Data &amp; Analytics Specialist is the central data integration point that links regional teams to a unified global reporting architecture. This role enables executive decision-making by consolidating inventory, and operational performance data across 30+ manufacturing plants and 5 regions into actionable intelligence.
Reporting to the VP, Operations Strategy &amp; Governance, this individual serves as the primary business analyst for the Global Operations team owning the data backbone that powers the Global Operations Scorecard, and governance reporting. The role is critical to Vertiv's and the broader digitalization roadmap including AI tools deployment.
KEY RESPONSIBILITIES 1. Global Operations Scorecard &amp; KPI Governance
<ul><li>Own the data integrity, accuracy, and timeliness of the Global Operations Scorecard across all metric categories:
<ul><li>Safety: TRR, Corrective Action Closure, Monthly Training
</li><li>Quality: Customer Claims, First Pass Yield (FPY)
</li><li>Delivery: OTIF-R, PDSL, RDSL
</li><li>Inventory: DIO, Cycle Count Accuracy
</li><li>Cost: Hourly Rate, Productivity, Efficiency
</li><li>Supplier: Supplier PDSL, Supplier RDSL
</li><li>Sustainability: Energy Use, Water Use, Tons of Waste
</li><li>People: Salary Turnover, Time to Fill, OOE
</li></ul></li><li>Ensure KPIs are calculated per standardized global formulas, reported monthly (or quarterly where specified), and shared with the business in a regular, timely fashion
</li><li>Drive data governance standards including master data management, data dictionary maintenance, and regional data quality audits
</li><li>Develop and maintain comprehensive dashboards (Power BI) providing insights into operational performance against 2025&ndash;2027 targets
</li></ul>2. Business Analysis &amp; Cross-Functional Support
<ul><li>Collaborate with Offering Management, Sales Operations, Engineering, Manufacturing, Finance, and Procurement to compile reporting that supports key global decisions
</li><li>Perform data analysis: collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities for improvement in global operations
</li><li>Evaluate existing business processes and recommend data-driven enhancements to improve efficiency, reduce costs, and increase productivity
</li></ul>3. Data Architecture &amp; Continuous Improvement
<ul><li>Own the construction, maintenance, and governance of global operations data files and reporting infrastructure
</li><li>Coordinate with IT on data integration across multiple ERP systems (Oracle) to drive integrated business planning
</li><li>Support AI/ML pilot initiatives to enhance data accuracy, scenario modeling, and predictive analytics
</li><li>Guide daily operations decision-makers by providing real-time, accurate information sourced from operational databases
</li><li>Create an environment of continuous improvement with emphasis on personal ownership and data quality culture
</li></ul>ACCOUNTABILITIES
<ul><li>Accuracy: All reports from Global Operational Governance teams meet standards for accuracy, timeliness, and quality of design to drive meaningful decisions
</li><li>Timeliness: Monthly scorecard published within 10 business days of period close
</li><li>Governance: 100% of global KPIs calculated per standardized formulas with documented data lineage
</li><li>Stakeholder Support: Effective preparation and support of Global Operations Governance Leader in running meetings and executive reviews
</li><li>Standardization: Regional data collection processes harmonized to global standards across all 5 regions
</li></ul>QUALIFICATIONS Minimum Requirements
<ul><li>Bachelor's Degree in Computer Science, Engineering, Data Science, Supply Chain Management, or related technical field
</li><li>Minimum 5 years' experience building data management, analytics, and reporting solutions &mdash; preferably in Supply Chain, Manufacturing Operations, Sales Operations, or Strategic Sourcing
</li><li>SQL proficiency (intermediate to advanced) for sourcing and transforming data from enterprise databases
</li><li>Microsoft Power BI expertise &mdash; building dashboards, data models, DAX measures, and Power Query transformations
</li><li>Working knowledge of Oracle ERP (order processing, inventory management, material planning modules)
</li><li>Strong communication skills with ability to translate complex data into executive-ready insights
</li><li>Ability to collaborate cross-functionally and cross-culturally across a global matrixed organization
</li><li>Self-directed with ability to manage multiple priorities and meet tight deadlines independently
</li><li>Familiarity with AI analytics
</li><li>Experience with Smartsheet for project tracking and collaboration
</li><li>Experience in organizations with $5B+ revenue and 30+ manufacturing sites</li></ul></div>

Global Operations Data Analytics

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
 </li>
 <li>
 Implement Data Integration Tools: Utilize IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 <li>
 Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Data Integration Solution Design: Experience with designing and building solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 ETL Process Development: Experience in creating and implementing Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, adhering to best practices and industry standards.
 </li>
 <li>
 Data Integration Tool Implementation: Experience with utilizing IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 Data Flow Optimization: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 <li>
 Data Integration Solution Evaluation: Experience in continuously evaluating and improving data integration solutions, identifying opportunities for process improvements and efficiency gains.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Data Integration Tool Expertise: Experience with utilizing IBM's WebSphere Data Integration Suite, Informatica, Ab Initio software, and DataStage to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 ETL Process Optimization: Experience in optimizing ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
 </li>
 <li>
 Data Flow Troubleshooting: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 </ul>
</div>

Senior Data Engineer - Data Integration

Systems Limited

<div>
 
 
 Job Summary:
 
 
 
 We are seeking a detail-oriented and analytical Data Analyst to support data integration, reporting, and business intelligence initiatives. The ideal candidate will have strong expertise in SQL Server and Oracle databases, hands-on experience with T-SQL and PL/SQL development, and a solid understanding of query optimization techniques. The role involves working with ETL processes, CRM systems, and reporting tools to deliver accurate and actionable insights that support business decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, maintain, and optimize SQL queries, stored procedures, functions, and database objects in SQL Server and Oracle environments.
 </li>
 <li>
 Analyze large datasets and provide meaningful insights to support business and operational objectives.
 </li>
 <li>
 Perform query tuning and database performance optimization to ensure efficient data processing.
 </li>
 <li>
 Design, develop, and maintain ETL processes using SSIS and KingswaySoft.
 </li>
 <li>
 Integrate, extract, and transform data from Microsoft Dynamics 365 CRM and other business applications.
 </li>
 <li>
 Create and maintain interactive dashboards, reports, and visualizations using Power BI.
 </li>
 <li>
 Develop, deploy, and support operational and analytical reports using SSRS.
 </li>
 <li>
 Ensure data quality, consistency, and integrity across multiple systems and databases.
 </li>
 <li>
 Collaborate with business stakeholders to gather reporting and analytics requirements.
 </li>
 <li>
 Troubleshoot data-related issues and provide timely resolutions.
 </li>
 <li>
 Document technical specifications, data models, and reporting processes.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
 </li>
 <li>
 Proven experience as a Data Analyst, Database Developer, BI Developer, or similar role.
 </li>
 <li>
 Strong knowledge of Microsoft SQL Server and Oracle databases.
 </li>
 <li>
 Hands-on experience with T-SQL and PL/SQL programming.
 </li>
 <li>
 Expertise in query writing, query optimization, and database performance tuning.
 </li>
 <li>
 Experience with SSIS and KingswaySoft for data integration and ETL processes.
 </li>
 <li>
 Working knowledge of Microsoft Dynamics 365 CRM.
 </li>
 <li>
 Strong experience in developing reports and dashboards using Power BI.
 </li>
 <li>
 Experience with SSRS report development and deployment.
 </li>
 <li>
 Understanding of data warehousing concepts and data modeling principles.
 </li>
 <li>
 Strong analytical, problem-solving, and troubleshooting skills.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Location: Karachi, Pakistan
 
 
</div>

Senior Data Analyst

Kelso Industries

<div>
 
 Together We Build &ndash; Partnership, Innovation, Excellence, and Safety
 
 
 
 At Kelso Industries, 3,500+ employees across 30 companies work together to deliver exceptional HVAC, mechanical, plumbing, refrigeration, and electrical solutions nationwide. Join us to grow your career, make an impact, and be part of a team where innovation, excellence, and safety come first.
 
 
 
 
 Recruiter Notice: We respectfully ask external recruiters and staffing agencies not to submit candidates. We only accept direct applications.
 
 
 
 
 
 Position Overview
 
 
 
 We are seeking a highly analytical and technically strong Business Intelligence (BI) Analyst to support data-driven decision-making across the organization. This role will be responsible for building and maintaining scalable reporting and data pipelines, with a primary focus on Domo as our core BI platform.
 
 
 This individual will play a critical role in connecting data across systems (ERP, HCM, CRM, and operational platforms), transforming it into reliable datasets, and delivering insights that support Finance, Operations, and executive leadership. A strong emphasis will be placed on data integration (APIs), Power Query transformation, and building sustainable, automated reporting solutions.
 
 
 The ideal candidate combines technical BI expertise with business acumen, particularly in financial and operational analytics and thrives working with large, complex datasets.
 
 
 
 Key Responsibilities
 
 
 
 
 Domo Development &amp; Administration
 
 
 
 <ul>
 <li>
 Build and maintain scalable dashboards, dataflows, and datasets in Domo.
 </li>
 <li>
 Manage connectors, pipelines, and platform administration (access, governance, performance).
 </li>
 <li>
 Establish and maintain trusted, business-ready datasets.
 
 
 </li>
 </ul>
 
 Data Integration &amp; Transformation
 
 
 
 <ul>
 <li>
 Integrate data across systems using APIs, connectors, and automated pipelines.
 </li>
 <li>
 Transform and model data using Power Query (M language), Domo (Magic ETL/SQL), and other tools.
 </li>
 <li>
 Ensure reliable, efficient data flow and troubleshoot pipeline issues.
 
 
 </li>
 </ul>
 
 Analysis &amp; Business Partnership
 
 
 
 <ul>
 <li>
 Analyze large datasets to deliver actionable insights for Finance, Operations, and leadership.
 </li>
 <li>
 Support reporting on key financial and operational metrics (e.g., revenue, margin, utilization).
 </li>
 <li>
 Translate business needs into scalable reporting and data solutions.
 
 
 </li>
 </ul>
 
 BI Tooling &amp; Automation
 
 
 
 <ul>
 <li>
 Leverage Power BI, SQL, Excel, and Python (preferred) for reporting, analysis, and automation.
 </li>
 <li>
 Reduce manual reporting through scalable, repeatable data processes using AI where possible.
 
 
 </li>
 </ul>
 
 Data Quality &amp; Governance
 
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and integrity across systems.
 </li>
 <li>
 Maintain documentation, definitions, and governance standards for datasets.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 4&ndash;5 years of experience in Business Intelligence, Data Analytics, or a related field.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or related field of study.
 </li>
 <li>
 Hands-on experience with Domo (dashboarding, ETL/dataflows, dataset management).
 </li>
 <li>
 Strong experience with Power Query (M language) for data transformation and automation.
 </li>
 <li>
 Advanced Excel skills, including Power Query.
 </li>
 <li>
 Experience working with large, complex datasets.
 </li>
 <li>
 Proficiency in SQL and data modeling concepts.
 </li>
 <li>
 Experience integrating data from multiple sources using APIs, connectors, or ETL tools.
 </li>
 <li>
 Experience with Power BI for reporting and visualization.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience supporting Finance or FP&amp;A teams with financial and operational reporting.
 </li>
 <li>
 Experience with building and supporting AI analytic tools.
 </li>
 <li>
 Familiarity with key financial metrics (revenue, margin, forecasting, etc.).
 </li>
 <li>
 Experience with Python for data analysis, automation, or API interaction.
 </li>
 <li>
 Familiarity with REST APIs, JSON, and modern data integration patterns.
 </li>
 <li>
 Exposure to data warehousing or cloud data platforms.
 </li>
 <li>
 Experience integrating data from ERP, HCM, CRM, or other enterprise systems.
 </li>
 <li>
 Experience in construction, field services, or project-based environments is a plus.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Ability to translate ambiguous business needs into structured data solutions.
 </li>
 <li>
 Strong data visualization and storytelling capabilities.
 </li>
 <li>
 Ability to manage multiple priorities and stakeholders effectively.
 </li>
 <li>
 Bias toward automation and building scalable, repeatable solutions.
 </li>
 <li>
 Commitment to data accuracy, governance, and building trust in reporting.
 
 
 </li>
 </ul>
 
 Why Join Kelso Industries?
 
 
 
 Join us and be part of a team dedicated to creating efficient, sustainable, and high-performance environments that make a lasting impact across the industrial, commercial, and institutional sectors.
 
 
 
 Here You Will Experience
 
 
 
 Growth Opportunities: Develop new skills, take on exciting challenges, and advance your career in meaningful ways.
 
 
 Company Culture: You&rsquo;ll thrive in an environment that supports your growth, values your contributions, and makes work fulfilling and enjoyable.
 
 
 Impact: Your work directly contributes to meaningful outcomes, allowing you to see the difference you make and feel a sense of purpose every day.
 
 
 Competitive Compensation &amp; Benefits: You&rsquo;ll be rewarded fairly for your contributions while enjoying perks that enhance your financial security, health, and overall well-being.
 
 
 
 Kelso Industries celebrates diversity and is committed to creating an inclusive environment for all employees. We do not discriminate in any aspect of employment based on race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Kelso does business
 
</div>

Business Intelligence Analyst

Data Engineer

Verily Health

<div>
 
 Who We Are
 
 
 
 Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
 
 
 
 Description
 
 
 
 We are seeking a highly motivated and detail-oriented Clinical Pharmacy Informaticist with expertise in HL7 FHIR. The ideal candidate will have in-depth knowledge of healthcare data standards, and industry standards, with a focus on Integrating, enriching, and harmonizing clinical data. This role will participate in ensuring the accuracy and usability of data across our organization, ultimately supporting various patient care and research efforts.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Architect FHIR-compliant data models, ensuring all instantiated resources align with specific implementation guides (IGs), profiles, and internal architectural standards.
 </li>
 <li>
 Design and operationalize sophisticated data harmonization and enrichment strategies to unify disparate data streams from EHRs, HIEs, and claims sources.
 </li>
 <li>
 Act as the subject matter expert for clinical ontologies (SNOMED CT, LOINC, ICD-10, RxNorm); define and maintain custom value sets to support specialized clinical use cases.
 </li>
 <li>
 Establish rigorous validation frameworks and automated rules to ensure the clinical accuracy, consistency, and longitudinal integrity of our data assets.
 </li>
 <li>
 Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Information Systems, or a closely related technical degree.
 </li>
 <li>
 Professional Certificate or Master&rsquo;s Degree in Clinical Informatics or equivalent professional experience in a clinical informatics role.
 </li>
 <li>
 Minimum of 5 years experience working in clinical informatics or data integration in Healthcare or Life Sciences industries
 </li>
 <li>
 Demonstrated proficiency in navigating the complexities of interoperability standards and frameworks (HL7 v2, FHIR CDA/CCD-A, NCPDP) and data models (FHIR R4/R5, OMOP).
 </li>
 <li>
 Advanced proficiency in Python and SQL.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Hands-on experience with dbt (data build tool), Jupyter Notebooks, and Experience in healthcare data integration.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 
 
 </li>
 </ul>
 Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
 
 
 The US base salary range for this full-time position is $119,000 - $179,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
 
 
 
 Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
 
 
 If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
</div>

Clinical Informaticist

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