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Overview Diligent's Commercial AI Transformation function builds AI agents that automate real workflows across our commercial organization, from sales and customer success to internal operations. We've already…
Designs and maintains BI solutions and reports to support business planning and decision-making using SQL and BI tools.
Leads agile teams to design and deliver modern data solutions, balancing trade-offs and providing technical leadership for cloud-based data platforms using AWS, Azure, GCP, or Databricks.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data, enabling AI/ML use cases and cross-team analytics.
Senior Data Business Analyst bridges business needs with data teams, writing SQL queries to analyze Oracle databases and translating requirements into technical specs for a fintech company.
Build and maintain data pipelines, integrate financial market data, and create BI dashboards for asset managers using SQL, SSIS, and tools like PowerBI.
Designs and builds scalable ETL pipelines for a data warehouse using AWS Redshift, Python/R, and Kimball methodology to support ML models and real-time analytics.
Build and optimize data pipelines, warehouses, and products for an insurtech team using Python, SQL, C#, and cloud tools like AWS/Azure.
Senior BI Analyst builds data pipelines, models, and dashboards to turn financial-services data into actionable insights using SQL, ETL, and tools like Tableau or Power BI.
Designs and maintains data pipelines for a financial-services client, integrating source systems with target databases using Ab Initio and Azure Data Factory to deliver clean, governed data for BI and analytics.
Design and build AWS-based ETL pipelines and data warehouses to consolidate operational data, then create dashboards and reports that help executives make data-driven decisions.
Design and build ETL pipelines, data models, and warehouses to consolidate operational data and enable business insights via dashboards and reports.
Builds and maintains data pipelines and warehouses using SQL and Azure big-data tools to feed analytics and AI teams.
Build and maintain scalable data pipelines and ETL processes for an investment team, using Python, SQL, and Linux to integrate financial data into a centralized warehouse.
Builds and maintains scalable ETL pipelines and data warehouses in Python/SQL to feed analytics and reporting for financial markets.
Designs and maintains data pipelines to move and transform financial data between source systems and target databases for BI and analytics using Ab Initio and cloud tools.
Designs and maintains ETL/ELT pipelines in AWS (Glue, Lambda, Redshift) to move and transform data, plus supports ML environments and optimizes data warehouse performance.
Designs and maintains Azure-based data pipelines and warehouses, integrating SAP systems to deliver real-time analytics and insights for business decision-making.
Builds and optimizes data pipelines and ETL processes using Python, Java, Scala, and AWS to transform raw data into actionable insights for a telecom company.
Builds and maintains scalable Azure data pipelines and warehouses for an automotive mobility company using Python, Spark, SQL, and Azure Data Factory/Databricks.
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