Top Tech Jobs & Startup Jobs

Serve as a techno-functional senior analyst translating business needs into requirements and user stories, validating data via SQL, collaborating with engineering and product teams to deliver scalable analytics, supporting UAT, driving adoption, and improving data product maturity across enterprise domains.

Provide specialist HR expertise for Talent Management & Learning: implement and deliver end-to-end HR solutions, resolve escalated HR cases, coach Tier 1 staff, manage vendor SLAs, audit HR transactions, improve processes and program content, and collaborate with leaders to enhance employee experience.

Design, build, test, deploy, and support end-to-end automations using low-code platforms (Power Platform, UiPath). Collaborate with stakeholders to translate requirements, implement integrations, ensure security/compliance, create reusable components, perform testing and documentation, support production incidents, and help govern citizen development.

The Supply Chain Analyst develops forecasts and optimizes inventory levels by analyzing market data and historical patterns, supporting sales and commercial strategies.

Design, build, test, and support end-to-end automations using low-code platforms (Power Platform/UiPath). Collaborate with stakeholders to translate requirements, implement integrations, ensure security and governance, create reusable components, perform testing and support UAT, maintain documentation and runbooks, and provide production support and continuous improvement.

Hands-on architect for semantic and tabular analytics: design enterprise semantic/tabular models across Power BI, Fabric, and AAS; set standards and governance; optimize performance (DAX, MDX, T-SQL, VertiPaq); mentor developers; enable scalable, governed Lakehouse consumption.

Lead regional supply chain finance for EMEA, Canada and LATAM: partner with VP of Supply Chain, drive FP&A, month-end close, inventory accounting governance, financial reporting, project valuation, and process improvement.

Design and implement modeling and evaluation approaches for implantable heart-failure AI solutions. Lead validation, calibration, and clinical performance strategy; build reference implementations and reusable modeling patterns. Apply label-efficient methods and efficient distributed training, evaluate emerging AI/ML research, mentor data scientists, and partner with stakeholders for testing, monitoring, and data governance to support regulatory-grade medical device models.

Provide strategic HR advisory and frontline manager coaching, resolve complex employee relations issues, align talent strategies with business goals, improve HR processes and tools, partner with COEs and HR shared services, and support local compliance and organizational effectiveness.

The Principal R&D Engineer will design, optimize, and test heart valve implants, manage development efforts, solve technical issues, and support manufacturing and validation activities.