Remote Data Jobs · Data Modeling

In this role, you will design and implement modern lakehouse platforms on Azure, enabling self-service access to high-quality data for AI-driven initiatives. You will combine cloud services and best practices to build scalable, secure, and cost-efficient end-to-end data solutions. Collaborating with cross-functional teams, you will define architecture standards, enforce governance, and optimize data operations for performance and reliability.

In this senior leadership role, you will define and execute the data and analytics strategy for a global digital organization, transforming diverse data sources into actionable intelligence that drives growth. You will lead and expand a high-performing team, oversee the full analytics and BI ecosystem, and shape how insights guide decisions across content, marketing, product, and revenue operations.

You are a seasoned Data Engineer with a passion for designing and implementing enterprise-scale data warehouses and pipelines that power data-driven decisions. You thrive on solving complex problems related to data modeling, governance, and performance, ensuring data is accessible and reliable for millions of users and internal stakeholders. You excel at translating business needs into robust, secure, and scalable data solutions.

CI&T seeks a talented, motivated, and experienced Mid Data Analyst to join our team and contribute on data-driven solutions for our customers. Responsibilities include data collection, analysis, modeling, and visualization using Power BI, ensuring data quality, collaborating with cross-functional teams, and maintaining documentation.

Support a critical data modernization initiative for a leading retail company as MicroStrategy Specialist. The role will be instrumental in analyzing, documenting, and migrating legacy MicroStrategy semantic models, reports, and cubes to a modern data platform built on Databricks, Power BI, and cloud-native technologies. The specialist will work closely with data architects, engineers, and business stakeholders to reverse-engineer complex BI assets, validate migration approaches, and ensure business continuity during the transition from MicroStrategy to modern analytics tools.

Design the semantic data layer, develop automated dashboards, and translate data into actionable insights for product, marketing, and finance teams. You’ll work closely with product leadership to define KPIs, ensure data consistency, and evolve BI processes to support product growth. This is a hands-on position combining strategic impact with technical depth — perfect for someone who enjoys shaping analytical frameworks and bringing clarity through data.

As a Data Analyst at Amplify, you will join a talented team dedicated to uncovering insights that shape business strategy, product development, and customer experience. Your work will help drive decisions that directly impact the lives of millions of students worldwide. Amplify’s Data Analytics team builds reporting frameworks and narratives that guide strategic decisions across the organization.

This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated, contributing to challenging and meaningful projects, developing high-quality applications that stand out in the market. Bluelight values continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.

Seeking an experienced and dynamic Azure Data Engineer to lead data engineering engagements, design scalable data solutions, and help clients unlock the full potential of their data. The candidate will act as a trusted advisor, providing technical leadership and strategic guidance while working on cutting-edge Microsoft Azure technologies.

Impact the lives of everyday people and help them move from surviving to thriving with digital personal finance solutions. You’ll lead product requirements and advanced analytics requirements gathering efforts, and work with other teams to help with automating data analysis and visualization needs. You'll use technology to solve business problems and drive positive outcomes, build a scalable technology platform to support a growing business, and deliver high-quality code to production consistently.