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Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. Lincoln Electric’s innovative solutions enable higher quality and productivity across a variety of processes including welding, cutting, brazing, machining, process automation, and field repair. The Company leverages proprietary technologies and expertise in materials science, power electronics, automation, and intelligent software to help customers build better and achieve resilience in their operations. Headquartered in Cleveland, Ohio, Lincoln Electric is the essential ‘Linc’ that keeps the economy running. The Company operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries. For more information about Lincoln Electric and its products and services, visit the Company’s website at https://www.lincolnelectric.com . Location: [[location_obj]] Req ID: [[id]] Job Responsibilities PURPOSE: This role will focus on bridging the gap between raw workforce data and strategic talent management by designing, building, and deploying interactive, secure business intelligence dashboards. Dashboard Design & Development – Build, automate and scale secure, high performance Power BI dashboards mapping critical employee lifecycles. HR Metrics Visualization - Create dynamic reports tracking key workforce KPIs such as headcount evolution, turnover, time to hire, diversity& inclusion, internal mobility and training ROI. Data Modeling and Architecture – Design optimized Star Schema data models, configure incremental refreshes, and establish reusable semantic data layers inside the Power BI service. Advanced Querying – Write efficient, complex Data Analysis Expressions (DAX) and Power Query (M) scripts for custom measures, data filters, and calculated columns. Job Requirements Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field. Minimum 6 years’ experience purely dedicated to Power BI dashboard development and data modeling. Proven experience working with SuccessFactors OData APIs, SAP integration tools or Azure based data lakes. Advanced proficiency in Power BI Desktop, Power BI Service, Power Query, and DAX Proficient in SQL, ETL, and data modeling. Demonstrable understanding of standard HR terminology, data privacy principles and human capital metrics. Excellent communication and interpersonal skills. Demonstrated willingness to work in a shared services environment with 60% alignment to U.S. time zones (EST or CST). PREFERRED QUALIFICATIONS: Microsoft Certified: Power BI Data Analyst Associate (PL-300) Experience working with Microsoft Fabric or Azure environments to build enterprise HR data pipelines. Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.
Here's where they are and how to stand out in your next interview.
24.795Jobs
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That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.