As an Advanced Data Platform Engineer, design and implement scalable, cloud-native data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services to support diverse analytical use cases and enterprise-scale insights. This role emphasizes technical depth, performance optimization, and governance best practices to deliver secure and reliable solutions. You'll work on systems leveraging Apache Spark, Delta Lake, and Iceberg.
In this role, you will develop and optimise core algorithmic models in marketing scenarios. Responsibilities include user behaviour prediction, profiling, ROI estimation, and traffic allocation strategies. You will design and build precision marketing models such as CTR/CVR prediction, LTV forecasting, and channel attribution analysis.
The ClickPipes Platform plays a critical role in driving the growth of the company by seamlessly onboarding and integrating data from diverse data sources into ClickHouse. As a backend engineer, you will develop and enhance integrations with various data sources, improve systems based on operational metrics, and contribute to architectural decisions. You will participate in on-call rotations to ensure system reliability.
We are looking for an experienced Data Engineering Analyst Lead/Scientist to join our Data Intelligence & Attributes team to transform raw trade and transaction-level data into high-value consumer features that guide decisions across the credit lifecycle from marketing and acquisition to account management and collections. You will report to the Director of Data Engineering.
We're seeking an Insights Manager to lead a small team and deliver high-impact analytics, partnering cross-functionally with Data Engineering, BI, and Product to transform data into reusable insight products. You'll define analytical models, manage their build, and elevate stakeholder decision-making through storytelling and recommendations. This is a hands-on leadership role with direct influence.
As a Product Analyst at Yuno, you’ll take ownership of shaping and optimizing our Integrations processes, ensuring. You’ll partner closely with engineering, solution architecture, and product leadership to define integration strategies, uncover new opportunities, and ensure technical solutions meet both immediate and long-term business needs. Beyond gathering insights, you’ll play a key role in setting priorities and driving initiatives that make our integration capabilities more scalable, reliable, and impactful for our customers.
Join Liberty Mutual’s dynamic Corporate Finance Data Strategy and Governance Team as a Sr. Data Solutions Analyst! In this role, you'll be at the forefront of standardizing financial data with our innovative Financial Data platform, leveraging your financial insurance expertise and critical thinking to craft sophisticated data solutions that boost data accessibility and transparency for our stakeholders.
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.