Top Hybrid Data & Analytics Jobs
The Background Verification Analyst at Entrata is responsible for executing manual criminal review processes, developing expert knowledge of consumer rights and disputes, and assisting clients in utilizing software and screening reports. The role requires attention to detail, fast-paced work, strong communication skills, and adherence to regulations.
The Senior Marketing Insights Analyst at VideoAmp will analyze and develop insights from various datasets to support marketing efforts in the media and advertising industry, focusing on sports. Responsibilities include crafting data narratives, producing reports, collaborating with teams, and translating complex data into actionable insights for external communications.
As a Senior Data Analyst in Growth Acquisition, you will analyze data from key marketing channels to identify insights that drive growth, automate reporting processes, and collaborate on A/B testing. You’ll also help optimize marketing strategies and improve campaign performance through data-driven decisions.
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The Insights Analyst is responsible for analyzing data to provide actionable business insights, building reports and dashboards for sales teams, streamlining data usage through pipelines, and investigating performance trends. This role requires strong analytical skills and collaboration with cross-functional teams.
Investigate broken pipeline workflows, manage ETL batch cycle process, curate workflow solutions, expand data governance, facilitate project transitions, enforce file delivery, DBA responsibilities, point person for nightly entity batch, coordinate with departments for workflow creation and troubleshooting.
The Principal Data Engineer for Geospatial Platforms at AiDash will design, build, and optimize data pipelines and architectures for managing large-scale geospatial data. The role involves collaborating with data science teams, ensuring data quality, proposing big data solutions, and providing technical leadership to enhance data infrastructure.
The Head of Data Engineering will lead the data infrastructure and analytics capabilities at Redaptive, overseeing data warehousing, engineering, science, and business intelligence. This role requires architecting scalable data strategies, driving engineering excellence, mentoring teams, and delivering AI-powered insights to support business growth and innovation.
The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.
The Senior Data Analyst will analyze data to create reports that support business strategies, working with stakeholders and teams to provide insights and actionable recommendations. Responsibilities include data extraction, analysis, and validation to inform business decisions and improve operations.
The Senior Software Engineer will create and maintain data processing pipeline architecture, build infrastructure for data extraction and transformation, analyze complex data sets, and support stakeholders with data-related issues, primarily using Python, SQL, and AWS technologies.
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