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Power BI Developer on a Homeland Security team designing, building, and maintaining Power BI dashboards that integrate operational and financial data, with SQL-based ETL pipelines and client-facing stakeholder communication.
The Data Analyst will support the Advanced Manufacturing Engineering team by transforming manufacturing data into actionable insights to improve process performance, yield, and quality. The role involves developing Power BI dashboards, performing root cause analysis, and automating reporting using SQL, Python, and manufacturing systems.
We are seeking a proactive, business-minded BI Developer who is passionate about transforming data into valuable business insights. We are looking for someone with a hands-on mindset, strong analytical thinking, and a…
Test
Senior Analytics Engineer building scalable data models, semantic layers, and reusable data products to support reporting, self-service analytics, and AI-driven decision-making using SQL, Python, and AWS.
Provide frontline support for front-office trading systems, perform data engineering tasks, and contribute to AI and automation initiatives under the guidance of senior engineers.
Key Responsibilities Build Python-based scripts, automation tools, lightweight applications, dashboards, and data workflows for semiconductor test development use cases. Design and perform testing/validation of…
Develop physics-based, data-driven, and hybrid models for steel production processes at Danieli, a global steel plant builder. Day-to-day involves data management, statistical analysis, visualization, and Digital Twin initiatives using Python, SQL, and big data technologies.
As the Manager of the engineering process, data, and tools team, you will be part of the SoC Test Supply Chain Division (Operations) team, which creates a competitive advantage by achieving a high level of operational…
Design, develop, test and deploy data/BI solutions end-to-end, building PowerBI dashboards, Databricks Genie workflows, and SQL/Python data pipelines with location-based analytics.
Data migration engineer building ETL pipelines and mapping source-to-target data to migrate reporting datasets from legacy systems to a new platform using SQL, Hive, Impala, and Hadoop.
Transform raw data into reliable datasets and Looker dashboards using dbt, SQL, and data modeling on cloud platforms, partnering with analysts and engineers to optimize ELT processes.
The Data & Analytics Engineer will manage data pipelines and create BI-ready models within the Databricks Lakehouse environment. The role involves collaborating with stakeholders to deliver scalable data solutions using SQL warehouses and Unity Catalogues.
Develop and maintain Power BI dashboards, reports, and data models; create DAX measures and KPIs; write SQL queries and perform ETL while ensuring data accuracy and report performance.
Build data architectures and pipelines for payment data in a cloud environment, integrating data from card networks and internal systems into a modern data warehouse using BigQuery.
The Analytics Engineer builds data models and products to bridge the gap between business processes and technical data infrastructure. The role involves working with Snowflake, dbt, and visualization tools to support decision-making and AI initiatives within the insurance sector.
Job Description LRS Consulting Services is seeking a Business Analyst - Power BI for a contract opportunity with our client in Bedford, TX. We are looking for an experienced Business Analyst with expertise in Power BI…
Data Analyst at RAPP (an Omnicom agency) in London, working in Data Science and Analytics. The job description is listed as TBC, so specific day-to-day technologies are not disclosed.
The Automation & Digitalization Engineer will develop and implement optimization solutions for mining processes using data analytics, modeling, and advanced control systems. The role involves collaborating with operations and engineering teams to deliver business value, requiring both site-based work and remote collaboration.
Design and optimize large-scale data platforms and build data processing pipelines using Spark, Hadoop, and Kafka for an in-house digital technology division.
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