Top Data & Analytics Jobs

Support data modernization by building and maintaining data pipelines, monitoring data quality, validating and documenting datasets, and collaborating with engineers, analysts, and business teams. Assist with reporting solutions and gain exposure to cloud data platforms, reporting tools, and AI-related data use cases.

Embedded analytics partner supporting regional sales: perform ad hoc and structured analysis using AI and BI tools, validate results, build presentation narratives, assist DI brief-writing and simple agent builds, communicate insights to field teams, and support regional business reviews and selling tools.

Provide analytical support across finance, operations, and sales, focusing on financial data, variance analysis, and improving data quality. Collaborate with various departments and perform modeling for budgeting, forecasting, and operational metrics.

The Data Analyst will reconcile financial data, normalize customer data, support cross-functional teams with data insights, and enhance data architecture and pipelines.

Own and implement the canonical data model and governance for a multi-tenant MEP SaaS platform. Architect data for AI/ML readiness (RAG, embeddings, vector search), design polyglot persistence and lake/lakehouse pipelines, lead staged modernization and migrations, produce hands-on prototypes and in-repo guardrails, and partner with platform, DB engineering, and ML teams to ensure data quality, lineage, and observability.

Lead analytics and tooling initiatives to drive operational excellence for global data-center construction and infrastructure. Translate business requirements into data products, build foundational datasets and KPIs, develop dashboards and automated reporting, run advanced statistical and ML analyses, and mentor stakeholders to improve performance measurement, governance, and decision-making.

As a Data Ranger, you will contribute to the Investment Implementation department, focusing on investment data, supplier management, and process improvement.

The Senior Data Engineer designs and maintains data pipelines and architectures to support enterprise analytics, ensuring data quality and integration across systems.

The ETL Lead will oversee ETL processes primarily using Informatica, manage Unix scripting, and possess extensive IT experience.

Design and implement enterprise data architectures and lakehouse/warehouse solutions using Microsoft Fabric, Databricks or similar platforms. Lead data modeling, ETL/ELT pipelines, cloud integration, CI/CD, and stakeholder-facing consulting engagements to deliver scalable, secure analytics systems.