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14 Job openings at Brainlabs
About Brainlabs

Brainlabs is a digital marketing agency that specializes in performance marketing and data-driven advertising strategies aimed at driving customer growth and maximizing ROI for businesses.

Specialist, Data Science

Not specified

4 - 7 years

INR 6.0 - 9.0 Lacs P.A.

Work from Office

Full Time

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to play a critical role in the development and scaling of our cutting-edge AI solutions. In this position, you will be a key contributor in driving innovation and ensuring the quality and scalability of our products for a diverse client base. You will leverage your expertise in NLP, Generative AI, and Machine Learning to design, build, and deploy sophisticated models and systems. This is an excellent opportunity to take ownership and make a significant impact on the future of our technology. Key Responsibilities: Design and Development: Lead the design, development, and deployment of advanced machine learning models and algorithms, with a focus on NLP and Generative AI. Build robust and scalable data pipelines to support model training and inference. Optimize model performance, accuracy, and efficiency. Cloud and Containerization: Utilize Google Cloud Platform (GCP) services for building and deploying machine learning solutions. Employ containerization technologies (e.g., Docker, Kubernetes) to ensure application portability and scalability. Collaboration and Mentorship: Collaborate effectively with cross-functional teams, including product managers, engineers, and researchers. Provide technical guidance and mentorship to junior team members. Contribute to the development and maintenance of technical documentation. Innovation and Research: Stay current with the latest advancements in NLP, Generative AI, and Machine Learning. Explore and evaluate new technologies and techniques to enhance existing solutions. Project Management: Manage multiple workflows and projects, ensuring timely delivery and high-quality output. Contribute to the planning and execution of projects, from conception to deployment. Qualifications: Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Experience: 4 + years of experience in developing and deploying machine learning models in a production environment. Technical Skills: Strong understanding of NLP, Generative AI, and Machine Learning algorithms. Proficiency in Python programming and relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). Hands-on experience with GCP services and containerization technologies (e.g., Docker, Kubernetes). Soft Skills: Excellent communication, interpersonal, and collaboration skills. Strong problem-solving and analytical abilities. Preferred Skills: Experience with Flask/Django or a strong willingness to learn and build React-based solutions. Data engineering skills and experience with API integration. Database management experience. Basic SEO knowledge (keyword research, optimization).

Specialist, Data Science

Not specified

2 - 5 years

INR 4.0 - 7.0 Lacs P.A.

Work from Office

Full Time

We are Brainlabs, the High-Performance media agency, on a mission to become the worlds biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And what s our formula? Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Specialist, Data Science. Reporting to: Manager, Data Science. Location: Bengaluru (Adaptive working model) About the Role As a Machine Learning Engineer at Brainlabs, you will be a key member of our Data Science team, responsible for developing and deploying machine learning models to solve complex business challenges. You will work with large datasets, build scalable data pipelines, and collaborate with cross-functional teams to deliver impactful solutions. If you are passionate about machine learning, data-driven problem-solving, and innovative technology, this role is for you! In this role, you will: Develop and maintain web scraping infrastructure to extract data from various online sources. Apply data cleaning, transformation, and feature engineering techniques to prepare datasets for model training. Design, develop, and deploy machine learning models (e.g., regression, classification, clustering) to address business challenges. Optimize model performance and accuracy while staying informed about new developments in AI/ML. Assist in deploying models into production and monitor their performance. Identify potential issues and contribute to solutions for optimal model operation. Collaborate with engineering and DevOps teams for smooth integration and deployment. Work effectively with cross-functional teams to understand requirements and deliver valuable solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders. Contribute to technical documentation and knowledge sharing. We re looking for someone who has: A Bachelors or Masters degree in Computer Science, Data Science, or a related field. 2-5 years of experience in developing and deploying machine learning models. A strong understanding of machine learning algorithms and data structures. Proficiency in Python and experience with relevant libraries (e.g., pandas, NumPy, scikit-learn). Practical experience with web scraping techniques and tools. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Excellent communication and collaboration skills. And this is what success looks like in the role: Efficient development and deployment of machine learning models with measurable business impact. Smooth and scalable data pipeline implementation. Continuous monitoring and optimization of model performance. Effective collaboration with teams across departments. Clear and insightful communication of technical concepts. What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.

Senior Specialist, Data Analytics

Not specified

4 - 5 years

INR 9.0 - 14.0 Lacs P.A.

Work from Office

Full Time

Work as a Senior Consultant , understanding clients analytics requirements and translating them into executable technical projects. Create, interpret, and apply measurement frameworks to ensure accurate data tracking. Develop Solution Design Reference (SDRs) , technical specifications, tag collection guides, and data layer recommendations. Stay up-to-date and create Point of Views (POVs) on the latest trends or specific client requirements. Implement analytics tags and marketing pixels using Adobe Launch Tag Manager . Work with JavaScript, ES6, jQuery, HTML, CSS to capture required data from webpages. Investigate and resolve discrepancies in Adobe Analytics reports . Ensure best practices in tagging and validation. Guide and mentor 1-2 team members . Communicate effectively with clients, stakeholders, and management. Manage multiple projects/tasks efficiently while ensuring timely deliveries. Log work hours accurately using the Clockify platform. Support pre-sales efforts by estimating effort, creating proposals, and drafting Statements of Work (SOWs) . We re looking for someone who has: Mandatory Skills: 4 to 5 years of experience with hands-on analytics implementation (tagging) in Adobe Launch and Adobe Analytics . Experience with Consent Management Platforms (CMPs) such as OneTrust . Experience in Web SDK implementation . Proficiency in JavaScript, ES6, jQuery, HTML, and CSS . Strong knowledge of Adobe Analytics . Excellent Tag Validation Reports Validation skills. Experience in Adobe Analytics Analysis Workspace and creating reports/segments. Preferred Skills: Hands-on experience with SQL basics, BigQuery, and Google Cloud Platform (GCP) . Experience in Looker Studio dashboard creation . Knowledge of other Tag Management Solutions (TMS) like Tealium, Google Tag Manager (GTM) . Familiarity with Customer Data Platforms (CDPs) such as Tealium AudienceStream, BlueConic . Knowledge of AngularJS, AJAX, front-end development . Understanding of digital marketing ecosystems (SEO, Search, Social, Programmatic, Ad Operations, etc.). Experience in A/B Test Configuration . Soft Skills: Excellent verbal and written communication skills. Education: Bachelor s or Master s degree in any discipline. What success looks like in the role: Successful implementation of Adobe Analytics and marketing tags across client projects. Accurate data tracking and validation with minimal discrepancies. Effective communication with clients and internal teams . Continuous improvement and contribution to the Brainlabs Culture Code . Providing guidance and mentorship to junior team members.

Specialist, Data Science

Not specified

2 - 5 years

INR 5.0 - 9.0 Lacs P.A.

Work from Office

Full Time

As a Machine Learning Engineer at Brainlabs, you will be a key member of our Data Science team, responsible for developing and deploying machine learning models to solve complex business challenges. You will work with large datasets, build scalable data pipelines, and collaborate with cross-functional teams to deliver impactful solutions. If you are passionate about machine learning, data-driven problem-solving, and innovative technology, this role is for you! In this role, you will: Develop and maintain web scraping infrastructure to extract data from various online sources. Apply data cleaning, transformation, and feature engineering techniques to prepare datasets for model training. Design, develop, and deploy machine learning models (e.g., regression, classification, clustering) to address business challenges. Optimize model performance and accuracy while staying informed about new developments in AI/ML. Assist in deploying models into production and monitor their performance. Identify potential issues and contribute to solutions for optimal model operation. Collaborate with engineering and DevOps teams for smooth integration and deployment. Work effectively with cross-functional teams to understand requirements and deliver valuable solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders. Contribute to technical documentation and knowledge sharing. We re looking for someone who has: A Bachelors or Masters degree in Computer Science, Data Science, or a related field. 2-5 years of experience in developing and deploying machine learning models. A strong understanding of machine learning algorithms and data structures. Proficiency in Python and experience with relevant libraries (e.g., pandas, NumPy, scikit-learn). Practical experience with web scraping techniques and tools. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Excellent communication and collaboration skills. And this is what success looks like in the role: Efficient development and deployment of machine learning models with measurable business impact. Smooth and scalable data pipeline implementation. Continuous monitoring and optimization of model performance. Effective collaboration with teams across departments. Clear and insightful communication of technical concepts.

Specialist, Data Science

Not specified

4 - 6 years

INR 6.0 - 8.0 Lacs P.A.

Work from Office

Full Time

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to play a critical role in the development and scaling of our cutting-edge AI solutions. In this position, you will be a key contributor in driving innovation and ensuring the quality and scalability of our products for a diverse client base. You will leverage your expertise in NLP, Generative AI, and Machine Learning to design, build, and deploy sophisticated models and systems. This is an excellent opportunity to take ownership and make a significant impact on the future of our technology. Key Responsibilities: Design and Development: Lead the design, development, and deployment of advanced machine learning models and algorithms, with a focus on NLP and Generative AI. Build robust and scalable data pipelines to support model training and inference. Optimize model performance, accuracy, and efficiency. Cloud and Containerization: Utilize Google Cloud Platform (GCP) services for building and deploying machine learning solutions. Employ containerization technologies (e.g., Docker, Kubernetes) to ensure application portability and scalability. Collaboration and Mentorship: Collaborate effectively with cross-functional teams, including product managers, engineers, and researchers. Provide technical guidance and mentorship to junior team members. Contribute to the development and maintenance of technical documentation. Innovation and Research: Stay current with the latest advancements in NLP, Generative AI, and Machine Learning. Explore and evaluate new technologies and techniques to enhance existing solutions. Project Management: Manage multiple workflows and projects, ensuring timely delivery and high-quality output. Contribute to the planning and execution of projects, from conception to deployment. Qualifications: Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Experience: 4 + years of experience in developing and deploying machine learning models in a production environment. Technical Skills: Strong understanding of NLP, Generative AI, and Machine Learning algorithms. Proficiency in Python programming and relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). Hands-on experience with GCP services and containerization technologies (e.g., Docker, Kubernetes). Soft Skills: Excellent communication, interpersonal, and collaboration skills. Strong problem-solving and analytical abilities. Preferred Skills: Experience with Flask/Django or a strong willingness to learn and build React-based solutions. Data engineering skills and experience with API integration. Database management experience. Basic SEO knowledge (keyword research, optimization).

Operations - Software Engineer

Not specified

3 - 5 years

INR 5.0 - 7.0 Lacs P.A.

Work from Office

Full Time

We need someone to join our Global Operations team your primary responsibility will be to build seamless connections and automations between our operational platforms to drive efficiency across the entire business. What you do: System Integration: Develop, implement, and maintain integrations between key platforms including HubSpot, Monday.com, Clockify HR covering the full quote-to-cash lifecycle. API Development & Maintenance: Design and implement API connections to streamline and automate workflows across systems, ensuring accurate data flow and real-time visibility into business operations. Automation & Workflow Optimization: Identify manual processes that can be automated, implementing automation solutions that save time and reduce errors. Data Management & Synchronization: Ensure data is consistently synced and accurate across all platforms, creating a single source of truth for operational data. Collaboration: Work closely with cross-functional teams, to gather requirements and ensure solutions alignment with business needs. Problem Solving & Support: Diagnose and troubleshoot issues related to system integrations, ensuring minimal disruption to business operations. Who you are You have 3-5 years experience in API integration and automation development using Python and other programming languages such as JavaScript & SQL. You will have a strong understanding of RESTful API design, integration patterns, best practices and tool understanding across Webhooks, Zapier, Integromat Problem Solver: You love tackling challenges head-on, finding the most efficient way to build systems that work together and automating repetitive tasks. Detail-Oriented: Accuracy in data and process integration is essential to you, ensuring all connections and workflows function seamlessly across platforms and that processes and deployments are well documented and controlled Curious & Innovative: You constantly look for ways to improve workflows and love experimenting with new tools or approaches to make things run more efficiently. Collaborative: You work well in a team and are comfortable gathering input from different departments to ensure solutions meet real business needs. Adaptable: While Python is your core language, you are open to using and learning other coding languages and tools How you succeed: Live our culture code. Deliver Seamless Integrations: Ensure all operational platforms are connected and working together, enabling smooth, real-time data flow across departments. Drive Automation: Automate repetitive tasks and workflows to free up time and reduce human errors, contributing to operational efficiency. Create Reliable Solutions: Build scalable, maintainable, and secure integrations that meet current business needs and can grow with the company. Understand the Business: Gain a deep understanding of the quote-to-cash lifecycle and the operational systems involved, ensuring that the integrations you build directly contribute to improved business outcomes. Keep Learning & Innovating: Stay up-to-date with the latest technology trends and continually seek ways to improve the platforms and workflows you manage. Peer to Peer Development: Helping your peers develop their programming skills.

Specialist, Data Analytics

Not specified

3 - 5 years

INR 9.0 - 13.0 Lacs P.A.

Work from Office

Full Time

You can read The Brainlabs Culture Code in full here. We are looking for a passionate and energetic Analytics Implementation Engineer to join our Data Analytics (Data Platforms and Infrastructure) department. The candidate will use Google Tag Manager to implement Google Analytics 4 (GA4) and marketing tags for clients, collecting user behavioral data. The role involves both server-side and client-side implementation, validation and auditing, requirement gathering, and managing solution design reference documentation Responsibilities: Work as a senior consultant, able to understand client s analytics requirements, translate that into executable technical projects, create measurement framework, implement the analytics tags Able to document Solution Design Reference (SDRs), technical specifications documents, tag collection guides, data layer recommendations etc., Implement the analytics tags and marketing pixels using GTM (Google Tag Manager) Able to work on JavaScript, ES6, jQuery functions, HTML, CSS to capture required data from the webpage Investigate any discrepancy in the GA4 reports and identify the implementation issue and fix it Interact with various stakeholders like clients, employees & management. Able to solely manage more than 2 clients Able to employ best practices in tagging and able to validate tags Must be very organized and able to balance working on multiple projects/tasks and small enhancements. Able to guide 1 or 2 team members Requirements: Overall experience of 3 to 5 years in which he/she should have hands-on analytics implementation(tagging) experience in Google Tag Manager and Google Analytics 4 (GA4) Server-side tagging experience using GTM Server and consent management experience using any CMP platform Bachelor s Degree / Masters degree in any discipline Excellent verbal and written communication skills. Excellent in JavaScript, ES6, jQuery functions, HTML, CSS to capture required data from the webpage Excellent understanding of GA4 platform and understands platform differences between Universal Analytics (UA) and GA4 Mobile App Analytics Implementation experience using Firebase or Appsflyer etc., Strong Tag Validation & Reports Validation skills. Confident in thorough pre and post publish QA. Knows how to pull data from GA4 exploration reports and can understand how to create segments to analyse data based on the client requirements. Can work with spreadsheets to analyse data - generate basic visualisations graphs, filters, pivots, etc. Hands-on experience with the SQL basics, BigQuery platform and GCP is an added advantage Hands-on experience with Looker Studio dashboard creation is an added advantage Hands-on experience on any other tag management solutions (TMS) such as Tealium, Adobe Launch etc., is an added advantage Experience in CDPs like Tealium AudienceStream, Blueconic etc., is an added advantage Angular js, AJAX experience & front-end development is an added advantage Knowledge of digital marketing ecosystem (SEO, Search, Social, Programmatic, Ad Operations etc.) is an added advantage A/B Test Configuration experience is an added advantage

System Administrator

Not specified

2 - 7 years

INR 4.0 - 9.0 Lacs P.A.

Work from Office

Full Time

We are looking for a System Administrator to support our IT Infrastructure and Staff with IT-related requests and incidents. Attention to detail, service-oriented, always learning and a right Attitude is a must for this role. Be ready to go beyond boundaries and extend support to the Team and members. Responsibilities Support essential IT operations, including operating systems, security tools, applications, servers, email systems, laptops, desktops, software, and hardware. Support End users following the IT Service Management Framework Participate in Service Improvement Projects and Initiatives Monitoring system performance and troubleshooting issues Helped improve the IT security posture and Participated in internal and external audits. Carry out Procurement, Documentation, and Policy Implementation Tasks. Support Client and Client Supporting Teams on IT Related Requests and Projects. Requirements Proven experience as a System Administrator, Network Administrator, or similar role Working knowledge in AWS, GCP, or Azure Platform. Certification in any of the Technologies (Microsoft, AWS, Cisco, ITIL) Experience with Networks (LAN, WAN, WLAN) and Patch management Knowledge of System security, data backup/recovery Knowledge of Scripting is an added advantage. Familiarity with various operating systems and platforms, and Mac/Apple OS would be beneficial. Resourcefulness and problem-solving aptitude Knowledge of Windows Intune and Jamf Pro. Working knowledge of Ticketing systems and ITSM or ITOM.

System Administrator

Not specified

2 - 7 years

INR 4.0 - 9.0 Lacs P.A.

Work from Office

Full Time

We are Brainlabs, the High-Performance media agency, on a mission to become the worlds biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And what s our formulaSuperteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Job brief We are looking for a System Administrator to support our IT Infrastructure and Staff with IT-related requests and incidents. Attention to detail, service-oriented, always learning and a right Attitude is a must for this role. Be ready to go beyond boundaries and extend support to the Team and members. Responsibilities Support essential IT operations, including operating systems, security tools, applications, servers, email systems, laptops, desktops, software, and hardware. Support End users following the IT Service Management Framework Participate in Service Improvement Projects and Initiatives Monitoring system performance and troubleshooting issues Helped improve the IT security posture and Participated in internal and external audits. Carry out Procurement, Documentation, and Policy Implementation Tasks. Support Client and Client Supporting Teams on IT Related Requests and Projects. Requirements Proven experience as a System Administrator, Network Administrator, or similar role Working knowledge in AWS, GCP, or Azure Platform. Certification in any of the Technologies (Microsoft, AWS, Cisco, ITIL) Experience with Networks (LAN, WAN, WLAN) and Patch management Knowledge of System security, data backup/recovery Knowledge of Scripting is an added advantage. Familiarity with various operating systems and platforms, and Mac/Apple OS would be beneficial. Resourcefulness and problem-solving aptitude Knowledge of Windows Intune and Jamf Pro. Working knowledge of Ticketing systems and ITSM or ITOM. Excellent communication skills. What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.

Operations - Software Engineer

Not specified

3 - 5 years

INR 5.0 - 7.0 Lacs P.A.

Work from Office

Full Time

We are Brainlabs, the High-Performance media agency, on a mission to become the worlds biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And what s our formulaSuperteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Global Operations Location: India, Bengaluru We need someone to join our Global Operations team your primary responsibility will be to build seamless connections and automations between our operational platforms to drive efficiency across the entire business. What you do: System Integration: Develop, implement, and maintain integrations between key platforms including HubSpot, Monday.com, Clockify HR covering the full quote-to-cash lifecycle. API Development Maintenance: Design and implement API connections to streamline and automate workflows across systems, ensuring accurate data flow and real-time visibility into business operations. Automation Workflow Optimization: Identify manual processes that can be automated, implementing automation solutions that save time and reduce errors. Data Management Synchronization: Ensure data is consistently synced and accurate across all platforms, creating a single source of truth for operational data. Collaboration: Work closely with cross-functional teams, to gather requirements and ensure solutions alignment with business needs. Problem Solving Support: Diagnose and troubleshoot issues related to system integrations, ensuring minimal disruption to business operations. Who you are You have 3-5 years experience in API integration and automation development using Python and other programming languages such as JavaScript SQL. You will have a strong understanding of RESTful API design, integration patterns, best practices and tool understanding across Webhooks, Zapier, Integromat Problem Solver: You love tackling challenges head-on, finding the most efficient way to build systems that work together and automating repetitive tasks. Detail-Oriented: Accuracy in data and process integration is essential to you, ensuring all connections and workflows function seamlessly across platforms and that processes and deployments are well documented and controlled Curious Innovative: You constantly look for ways to improve workflows and love experimenting with new tools or approaches to make things run more efficiently. Collaborative: You work well in a team and are comfortable gathering input from different departments to ensure solutions meet real business needs. Adaptable: While Python is your core language, you are open to using and learning other coding languages and tools How you succeed: Live our culture code. Deliver Seamless Integrations: Ensure all operational platforms are connected and working together, enabling smooth, real-time data flow across departments. Drive Automation: Automate repetitive tasks and workflows to free up time and reduce human errors, contributing to operational efficiency. Create Reliable Solutions: Build scalable, maintainable, and secure integrations that meet current business needs and can grow with the company. Understand the Business: Gain a deep understanding of the quote-to-cash lifecycle and the operational systems involved, ensuring that the integrations you build directly contribute to improved business outcomes. Keep Learning Innovating: Stay up-to-date with the latest technology trends and continually seek ways to improve the platforms and workflows you manage. Peer to Peer Development: Helping your peers develop their programming skills. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.

Specialist, Data Analytics

Not specified

2 - 5 years

INR 4.0 - 7.0 Lacs P.A.

Work from Office

Full Time

We are Brainlabs, the High-Performance media agency, on a mission to become the worlds biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And what s our formulaSuperteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. It s a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. We are looking for a passionate and energetic Analytics Implementation Engineer to join our Data Analytics (Data Platforms and Infrastructure) department. The candidate will use Google Tag Manager to implement Google Analytics 4 (GA4) and marketing tags for clients, collecting user behavioral data. The role involves both server-side and client-side implementation, validation and auditing, requirement gathering, and managing solution design reference documentation Responsibilities: Work as a senior consultant, able to understand client s analytics requirements, translate that into executable technical projects, create measurement framework, implement the analytics tags Able to document Solution Design Reference (SDRs), technical specifications documents, tag collection guides, data layer recommendations etc., Implement the analytics tags and marketing pixels using GTM (Google Tag Manager) Able to work on JavaScript, ES6, jQuery functions, HTML, CSS to capture required data from the webpage Investigate any discrepancy in the GA4 reports and identify the implementation issue and fix it Interact with various stakeholders like clients, employees management. Able to solely manage more than 2 clients Able to employ best practices in tagging and able to validate tags Must be very organized and able to balance working on multiple projects/tasks and small enhancements. Able to guide 1 or 2 team members Requirements: Overall experience of 3 to 5 years in which he/she should have hands-on analytics implementation(tagging) experience in Google Tag Manager and Google Analytics 4 (GA4) Server-side tagging experience using GTM Server and consent management experience using any CMP platform Bachelor s Degree / Masters degree in any discipline Excellent verbal and written communication skills. Excellent in JavaScript, ES6, jQuery functions, HTML, CSS to capture required data from the webpage Excellent understanding of GA4 platform and understands platform differences between Universal Analytics (UA) and GA4 Mobile App Analytics Implementation experience using Firebase or Appsflyer etc., Strong Tag Validation Reports Validation skills. Confident in thorough pre and post publish QA. Knows how to pull data from GA4 exploration reports and can understand how to create segments to analyse data based on the client requirements. Can work with spreadsheets to analyse data - generate basic visualisations graphs, filters, pivots, etc. Hands-on experience with the SQL basics, BigQuery platform and GCP is an added advantage Hands-on experience with Looker Studio dashboard creation is an added advantage Hands-on experience on any other tag management solutions (TMS) such as Tealium, Adobe Launch etc., is an added advantage Experience in CDPs like Tealium AudienceStream, Blueconic etc., is an added advantage Angular js, AJAX experience front-end development is an added advantage Knowledge of digital marketing ecosystem (SEO, Search, Social, Programmatic, Ad Operations etc.) is an added advantage A/B Test Configuration experience is an added advantage What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.

System Administrator

Not specified

0 - 0 years

Not disclosed

On-site

Full Time

Director, Data Science

Not specified

13.0 - 13.0 years

Not disclosed

On-site

Full Time

Director, Data Science

Not specified

13.0 - 15.0 years

INR 35.0 - 40.0 Lacs P.A.

Work from Office

Full Time

Brainlabs

Digital Marketing / Advertising

London
cta

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