Gathering details
Loading data
Excellent understanding of data warehousing concepts, data governance, and data quality principles. Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution d
Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data. P
This role collaborates across the business to identify analytic gaps, design scalable data models, and deliver high-impact dashboards and insights. Stay up to date on evolving data standards, business rules, and analytic capabilities. You’ll develop new reporting solutions, optimize existing asset
Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 5
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Manage two workstreams - one for our data engineering team and another for our analyst team that manages our data visualizations / dashboards. Re
Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state. Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem
Partner with IT, Data Engineering, and Infrastructure teams to deliver technically sound, performance stable, and secure Power BI solutions and underlying data pipelines, including Governance that define reporting standards, manage RLS, naming conventions, and promote self-service. Provide subject m
Marketplaces Data and AI team work on components related to users, listings and marketplace which are foundational to Airbnb, and the quality of their data is critical to the success of our products and business. Your work will feed ML models and data products that directly inform pricing strategy,