Top Data & Analytics Jobs
The Marketing Data Analyst will update backend data architecture, prepare data, and deliver business intelligence reports through Power BI. Responsibilities include collaborating with SMEs for reporting in Salesforce, creating queries, and analyzing data for ad-hoc needs.
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
The Data Engineer will integrate new data sources with Azure Fabric's existing data Lakehouse, curate data using Python or SparkSQL, and develop Power BI dashboards. Responsibilities include creating DAX calculations, ensuring data security, training end users, and supporting technical documentation.
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The Data Engineer will design, develop, and maintain data infrastructure and systems for efficient data processing, storage, and analysis. Responsibilities include creating scalable data architectures, implementing ETL processes, and ensuring data alignment with business needs.
As a Data Engineer at Edge & Node, you will enhance Graph Node's capabilities, work with complex Rust code, assess performance, and document important aspects of the software while collaborating with a team on improving data processing and querying engines.
The AWS Data Architect will develop and manage data pipelines, ensuring data quality, define data models, collaborate with business analysts, and implement data governance principles. Additionally, they will enable data-driven decision-making through expert guidance on data consumption and work on continuous integration processes for data pipelines.
As a Professional Services Analyst, you will execute research projects, build narratives with data, provide strategic guidance to clients, and present findings to stakeholders. You will need a strong understanding of consumer insights and experience in data analysis, alongside the ability to create engaging data visualizations.
The Epicor Analyst is responsible for providing IT support for AP Emissions, focusing on Epicor and related business products. Key duties include end-user support, developing data reporting solutions, coordinating with business teams for better data flow, and conducting training for users to enhance Epicor knowledge. The role requires problem-solving skills and the ability to handle customer inquiries professionally.
The Data Engineer will integrate new data sources with the Azure Fabric data Lakehouse, curate data using Python, SparkSQL, and T-SQL, and develop Power BI dashboards. The role requires collaboration with technical leads, ensuring data security, and providing training on Power BI usage.
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The Revenue Operations Analyst will improve revenue operations processes, support billing and revenue recognition across products and services, conduct trend analyses, and assist with audits and reconciliations. Collaboration with finance and accounts payable/receivable is crucial to ensure accurate reporting and compliance with accounting standards.
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