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The Marketing Operations & Technology Manager is responsible for optimizing marketing processes, managing technology platforms, and ensuring data-driven decision-making to enhance campaign performance and marketing effectiveness. This role plays a critical part in improving efficiency, implementing automation, and ensuring seamless integration between our marketing technology and data ecosystem including HubSpot, Salesforce, BigQuery, Google Analytics, and other MarTech tools to drive marketing success.
A key focus of this role is HubSpot administration and optimization, as well as leading the strategy and execution of Marketing reporting and data analysis with expertise in data visualization tools (PowerBI, Google Looker Studio, Tableau) to provide marketing insights. The ideal candidate has expertise in marketing automation, CRM systems, analytics, and project management, with a strong technical understanding of HubSpot operations and data-driven decision-making.
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Seeking a Senior Analytics Engineer with 6+ years of industry experience.
Proficiency in Python, SQL, data pipelines, and data modeling.
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Design, develop, and deliver high-quality web solutions for a marketing intelligence platform
Work collaboratively with a cross-functional team to build a scalable product
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Lead and pipeline reporting for marketing and sales alignment
Monitoring and analyzing Google Analytics and Google Ads performance
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Building server-side components of interactive applications
Designing & building data pipelines using specified technologies
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Design and develop best-in-class cloud platform
Develop solutions across data and analytics stack
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- Build and maintain robust data pipelines - Design optimized data models - Transform and prepare
ta for analysis - Develop interactive dashboards and reports - Collaborate with cross-functional
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Improve data infrastructure Optimize performance and accessibility Enable data-driven
g Collaborate with cross-functional teams Mentor and lead data
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- Manage platform APIs and AI capabilities - Oversee data system scalability and performance -
borate with data science and product teams - Implement AI and ML models into the platform - Ensure
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Develop data infrastructure solutions, Design scalable data platforms, Optimize data pipelines,
ement AI-driven solutions, Support transformation in various
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Enhance data pipelines for optimization, Scale data processing capabilities, Design data solutions
or clients, Develop scalable data infrastructure solutions, Optimize data pipelines for
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The Wikimedia Foundation is seeking a Senior DBA. Our objective is to make the sum of all human knowledge available to everyone, and we persist most of this knowledge in MariaDB.
Implementation, maintenance and troubleshooting of relational database systems in production and staging environments.
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- Improve business growth and performance - Provide actionable insights for leadership -
with cross-functional teams - Support organizational optimization initiatives - Analyze trends and
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- Build production-grade data pipelines - Collaborate with cross-functional teams - Take on new
lenges and responsibilities - Shape company culture - Solve real-world complex
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Find remote H1B Visa jobs, Assist with customer service inquiries, Support forensic investigations,
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Analyze customer traffic, Support customers in real-time, Communicate with global customers,
e real-time cyber attack detection, Design and implement projects and
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Lead technical sales for security solutions, Support Enterprise clients in data replication, Drive
T and IoT cybersecurity projects, Develop IoT solutions in EMEA, Showcase fleet management
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Collaborate with stakeholders, Develop predictive models, Drive value for the business, Perform
ytics, Implement machine learning
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Lead data architecture initiatives, Drive impactful data integration strategies, Manage IT
ure development and optimization, Design scalable platforms for effective customer reach, Shape the
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* Drive optimization in supply chain and manufacturing sector * Collaborate with cross-functional
ams to build high-quality product features * Deploy AI models to solve complex global problems *
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- Develop data pipelines and transform data - Optimize data infrastructure for decision-making -
lyze product data and improve solutions - Enhance mental healthcare through data insights - Drive
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Enhancing data solutions Collaborating with teams Designing scalable data pipelines Supporting
ion-making Handling complex data