FocusKPI

Develop audience segmentation, manage data quality, ensure compliance, integrate data sources, analyze data, and collaborate with stakeholders. | Bachelor’s in Data Science or related field, 3-5 years in data analytics, proficiency in SQL and Python, experience with data platforms and analytics tools, strong problem-solving skills, attention to detail, curiosity, and proactive in data process improvements. | FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack. Responsibilities: • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility. • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA. • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis. • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment • Proficiency in SQL for data manipulation and analysis. Comfortable with Python. • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights. • Exceptional attention to detail and a commitment to maintaining high data quality standards. • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes No C2C resumes are considered FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack. Responsibilities: • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility. • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA. • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis. • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment • Proficiency in SQL for data manipulation and analysis. Comfortable with Python. • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights. • Exceptional attention to detail and a commitment to maintaining high data quality standards. • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes No C2C resumes are considered

Developing audience segmentation strategies, ensuring data quality and compliance, integrating data sources, and providing analytical insights for marketing campaigns. | Bachelor's in Data Science or related field, 3-5 years in data management or analytics, proficiency in SQL and Python, experience with data platforms like Snowflake, and strong analytical skills. | FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack. Responsibilities: • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility. • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA. • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis. • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment • Proficiency in SQL for data manipulation and analysis. Comfortable with Python. • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights. • Exceptional attention to detail and a commitment to maintaining high data quality standards. • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes No C2C resumes are considered FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack. Responsibilities: • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility. • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA. • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis. • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment • Proficiency in SQL for data manipulation and analysis. Comfortable with Python. • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights. • Exceptional attention to detail and a commitment to maintaining high data quality standards. • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes No C2C resumes are considered

Developing audience segmentation strategies, ensuring data quality and compliance, integrating data sources, and providing actionable marketing insights. | Bachelor’s in Data Science or related field, 3-5 years in data management/analytics, proficiency in SQL and Python, experience with data platforms like Snowflake or Databricks, strong analytical skills, attention to detail, curiosity, and proactive problem-solving. | FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack. Responsibilities: • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility. • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA. • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis. • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment • Proficiency in SQL for data manipulation and analysis. Comfortable with Python. • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights. • Exceptional attention to detail and a commitment to maintaining high data quality standards. • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes No C2C resumes are considered FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company. As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack. Responsibilities: • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility. • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA. • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis. • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment • Proficiency in SQL for data manipulation and analysis. Comfortable with Python. • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights. • Exceptional attention to detail and a commitment to maintaining high data quality standards. • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes No C2C resumes are considered

Participate in a 3-month AI trainee program to build and deploy AI and NLP models, develop scalable APIs, and gain hands-on experience with ML frameworks and deployment tools under mentorship. | Candidates should have a bachelor's or master's in CS or related fields, interest and some experience in NLP, RAG, ML frameworks, proficiency in Python and API development, and strong problem-solving skills. | Job Title: AI Engineer Trainee Location: Remote in United States (EST Preferred) Type: Full-Time / Unpaid Trainee Program Company: FocusKPI Please submit your resume and a brief cover letter outlining your experience with relevant projects, coursework/work experience, and why youre interested in this role to View email address on jobs.jobcopilot.com . We are excited to invite aspiring software engineers and AI enthusiasts to join our 3-month AI Trainee Program, designed to fast-track your skills in building and implementing AI solutions. This program provides hands-on experience with real-world projects, enabling you to enhance both your software engineering and AI expertise. Under the mentorship of our experienced team, youll refine your skills in designing scalable systems, deploying machine learning (ML) models, and building APIs. Exceptional performance during the program may lead to a paid internship opportunity, setting the stage for a promising career in AI and software development. About the Program: This program is ideal for individuals passionate about AI and software engineering , particularly in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and software deployment. Youll gain practical experience in building and deploying machine learning models, integrating them into vector-based solutions, and creating robust software infrastructure for scalable applications. The program focuses on your growth, providing you with the tools and knowledge to succeed in the dynamic field of AI-driven software development. Ideal Qualifications: We welcome candidates with the following background: • Bachelors or Masters degree in Computer Science , Data Science , or related fields. • Interest and hands-on experience with NLP , RAG , and machine learning frameworks . • Proficiency in Python and API development using frameworks like FastAPI . • Strong problem-solving skills and a detail-oriented approach to software development. Key Learning Opportunities: • Gain hands-on experience in designing and implementing NLP models for tasks such as text classification, sentiment analysis, and named entity recognition. • Learn and apply Retrieval-Augmented Generation (RAG) frameworks integrated with vector-based solutions to enhance system performance. • Build and maintain scalable APIs (e.g., using FastAPI) for real-world deployment of AI models. • Develop expertise in containerization tools like Docker to streamline deployment and scalability. • Gain practical experience in implementing CI/CD pipelines for automated testing, integration, and deployment to ensure reliable and efficient delivery of AI solutions. • Acquire practical knowledge in data preprocessing , feature extraction, and building robust data pipelines for large-scale applications. • Work on integrating ML models into end-to-end production systems , focusing on scalability and performance. • Strengthen your software engineering skills , with exposure to tools like Python, FastAPI, and cloud platforms (AWS, Google Cloud, Azure). • Enhance your collaboration and documentation skills by working in a dynamic, remote team environment.