79 Data Studio Jobs

As a Technical Solutions Consultant, you will have the opportunity to share your preferred working location from the available options in Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India. To be considered for this role, you are required to have a Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. Additionally, experience in system design, reading code (e.g., Java, C++, Python, etc.), technical project management, stakeholder management, professional services, solution engineering, or technical consulting is essential. Proficiency in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g., Python) is also necessary. Preferred qualifications for this role include experience in a client-facing data analytics position or presenting data-based narratives to senior stakeholders and partners. Familiarity with analytical and narrative tools such as spreadsheets, presentation software, tableau, data studio, etc., as well as working with Google's tools and datasets, is advantageous. Knowledge of R, Python, database management systems, and SQL Workflow management is a plus. The ideal candidate should possess the ability to multitask, manage conflicting priorities effectively, and demonstrate a willingness to learn and implement advanced technical and analytical solutions. A strong motivation to understand customer business objectives and recommend insights based on market and customer data is highly valued. In this role, you will be responsible for the technical relationship with Google's largest advertising clients and product partners. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to leverage emerging technologies for external clients and partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and product partnerships. Balancing business and partner needs with technical constraints, you will develop innovative solutions and act as a consultant to those you work with. Additionally, you will build tools, automate products, oversee technical execution and business operations, develop product strategy, and prioritize projects and resources. As part of the gTech team, your role will involve working with Sales teams, partners, and Engagement Managers to develop compelling, integrated, research-based insights and narratives that enhance Google's ability to sell relevant media solutions to clients. You will analyze complex datasets, convert them into strategic insights and compelling storylines, and utilize insight and measurement tools to drive customer business objectives. Your responsibilities will include making complex data sets and concepts simple and easy to understand, as well as developing and maintaining robust analytical solutions that can be leveraged across different verticals and markets. If you are looking to contribute to creating products and services that make a positive impact on the world, this position offers a unique opportunity to collaborate with diverse teams and support customers globally. Whether it's providing bespoke solutions to solve unique problems or developing tools that can scale across Google, your work will aim to ensure that customers benefit from the full potential of Google products.,

As a Performance Marketer at Story Digital, you will play a crucial role in managing end-to-end paid campaigns on Meta (Facebook/Instagram) and Google Ads. Your primary responsibility will be to drive growth and achieve measurable ROI for our clients through well-planned and optimized campaigns. Your key responsibilities will include planning, executing, and optimizing performance campaigns across Meta & Google platforms. You will be expected to develop campaign strategies that are in line with client KPIs such as leads, sales, traffic, and ROAS. Implementing A/B tests on creatives, ad sets, targeting, and landing pages will be a regular part of your tasks. Analyzing campaign data to enhance performance and providing actionable insights will be crucial for success. You will also manage budget allocation, bid management, and campaign pacing while collaborating closely with creative & strategy teams to ensure ads align with brand voice. Additionally, regular reporting and client communication will be essential aspects of your role. To excel in this position, you should have a minimum of 2-3 years of hands-on experience working with Meta Ads & Google Ads. A strong understanding of digital metrics such as CTR, CPC, CPA, and ROAS is required. Possessing Google Ads and Meta certifications would be advantageous. Familiarity with tools like Google Analytics, Tag Manager, and Data Studio is preferred. The ability to handle multiple brands and industries simultaneously, along with excellent communication and presentation skills, is essential for this role. If you have previous agency experience managing multiple clients and are passionate about driving performance and embracing creativity, you will be considered favorably for this position. Join our team and make a significant impact with your expertise in performance marketing.,

Job Title: Growth & Business Head (Real-estate) Location: Sector-62, Noida Reports To: CEO/CGO Type: Full-time Salary: Upto 10 LPA Industry: Real-estate About the Role: We are looking for a high-impact Growth & Business Head to lead our end-to-end digital customer acquisition strategy and own the P&L of our marketing-driven revenue channels. This is a strategic leadership role that blends performance marketing, SEO, website strategy, and business management, with a laser focus on scaling real estate lead generation, improving conversion efficiencies, and maximizing profitability. Key Responsibilities: 1. Strategic Growth & Business Ownership: * Lead the digital growth strategy across paid, organic, and owned media with full accountability for lead-to-revenue performance. * Own and manage the profit & loss (P&L) of the digital business vertical, ensuring revenue targets are met and marketing spends are optimized for profitability. * Translate business goals into scalable marketing strategies and execution plans. * Work closely with the leadership team to influence product positioning, pricing, and market expansion strategies. 2. Performance Marketing Management: * Oversee high-performance campaigns across Google Ads, Meta, YouTube, LinkedIn, and local portals (e.g., 99acres, MagicBricks). * Ensure media spends are aligned with revenue generation goals and cost-per-acquisition (CPA) targets. * Constantly refine funnel metrics and improve marketing ROI through rigorous testing and optimization. 3. SEO & Organic Lead Generation: * Build a sustainable inbound engine through technical SEO, content marketing, local SEO, and backlinks. * Optimize landing pages and organic conversion paths to boost non-paid lead flow. * Establish performance benchmarks for organic traffic growth, keyword rankings, and domain authority. 4. Website Ownership & Conversion Strategy: * Own website roadmap structure, UX, content, SEO, analytics, and integrations. * Drive CRO (Conversion Rate Optimization) initiatives using tools like Hotjar, Google Optimize, and GA4. * Collaborate with product, design, and engineering teams to align web strategy with customer journeys. 5. Data, Analytics & Reporting: * Establish KPIs across channels and build dashboards for real-time visibility (using tools like Data Studio, Tableau, or Looker). * Analyze funnel performance, user behavior, and attribution to refine strategy. * Ensure marketing automation and CRM systems are integrated for accurate tracking from ad click to deal closure. 6. Team Leadership & Stakeholder Management: * Build and lead a high-performing marketing team across performance, SEO, design, and content. * Partner with sales, technology, and operations teams to ensure lead quality, pipeline velocity, and alignment on goals. * Manage external agencies/vendors and evaluate their ROI. Requirements: * 57 years of experience in digital growth roles, with at least 2+ years in a business leadership or P&L ownership role. * Demonstrated success in leading digital marketing initiatives that drive revenue and manage full-funnel performance. * Strong commercial acumen, with experience managing budgets and delivering profitable growth. * Expertise with paid media, SEO, web optimization, data analytics, and CRM tools. * Experience in real estate, proptech, or other high-ticket B2C services is a strong plus. What You Bring: * Entrepreneurial mindset with deep understanding of customer acquisition economics. * Strategic thinker with an operator&aposs execution mindset. * Hands-on problem solver you know how to zoom in on metrics and zoom out to see the bigger picture. * Ability to work cross-functionally and communicate effectively with C-level and on-ground teams alike. What We Offer: * Leadership role with direct impact on company revenue and growth. * P&L ownership and participation in strategic decision-making. * Competitive compensation with performance-based incentives. * Fast-paced, agile environment within a growing real estate brand. Application Process: If you are passionate about Growth & Business Head (Real-estate) and have the required qualifications, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [HIDDEN TEXT] & WhatsApp 7428394514 Show more Show less

The role involves owning the design and delivery of Data Analytics solutions based on business requirements, contributing from idea-generation to implementation under some supervision. You will work independently on consuming and preparing data for analytical use, translating business problems into data stories. Your responsibilities include delivering work that informs business decisions within your team's scope, leveraging data analysis and visualization skills to answer business questions and create insightful visualizations. You will collaborate with stakeholders and present data insights in a business-friendly manner. Flexibility is crucial in adopting internal Data Analytics approaches and expanding technical competencies. You will grow your craft skills while utilizing Data Analytics to impact well-defined business problems. Supporting junior peers through knowledge sharing and setting a good example is expected. Networking with craft peers beyond the team's scope and understanding Booking's data ecosystem are essential. Collaboration with peers in related crafts and ensuring the quality of your work through peer review are also part of the role. Communication with stakeholders, including business stakeholders, craft team, managers, leadership team, DSnA Community, and other tech crafts, is vital for cooperation, feedback, and providing data outcomes to steer the business. The communication frequency varies from frequent to occasional depending on the type of communication needed. A Master's degree and 2-4 years of basic job knowledge are required. Special knowledge and skills include being results-oriented, open to feedback, detail-oriented with a focus on the bigger picture, analytical, and having strong interpersonal skills. Experience in data analysis, data management, data visualization, and using tools like Tableau, Data Studio, PowerBI, etc., as well as familiarity with data analysis languages like R, SQL, Python, are necessary for this role.,

Adventus.io is a B2B2C SaaS-based marketplace supporting institutions, recruiters, and students within the international student placement sector. Our innovative platform allows institutions, recruiters, and students to directly connect with one another, resulting in matching the right international study experience with students across the world. Founded in 2018, we are on a mission to change the way the world accesses international education. Behind the technology, we have over 500 amazingly talented humans making it all happen. We are looking for ambitious self-starters who want to be part of our vision and create a positive legacy. You will work in an agile environment alongside application developers on a vast array of initiatives as we deploy exciting new application features to AWS hosted environments. A portion of your time will be spent assisting the Data Analytics team in building our big data collection and analytics capabilities to uncover customer, product, and operational insights. Collaborate with other Software Engineers & Data Engineers to evaluate and identify optimal cloud architectures for custom solutions. You will design, build, and deploy AWS applications at the direction of other architects including data processing, statistical modeling, and advanced analytics. Design for scale, including systems that auto-scale and auto-heal. Via automation, you will relentlessly strive to eliminate manual toil. Maintain cloud stacks utilized in running our custom solutions, troubleshoot infrastructure-related issues causing solution outage or degradation, and implement necessary fixes. You will implement monitoring tools and dashboards to evaluate health, usage, and availability of custom solutions running in the cloud. Assist with building, testing, and maintaining CI/CD pipelines, infrastructure, and other tools to allow for the speedy deployment and release of solutions in the cloud. Consistently improve the current state by regularly reviewing existing cloud solutions and making recommendations for improvements (such as resiliency, reliability, autoscaling, and cost control), and incorporating modern infrastructure as code deployment practices using tools such as CloudFormation, Terraform, Ansible, etc. Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues. You will collaborate with our Security Guild members to implement company-preferred security and compliance policies across the cloud infrastructure running our custom solutions. Build strong cross-functional partnerships. This role will interact with business and engineering teams, representing many different types of personalities and opinions. Minimum 4+ years of work experience as a DevOps Engineer building AWS cloud solutions. Strong experience in deploying infrastructure as code using tools like Terraform and CloudFormation. Strong experience working with AWS services like ECS, EC2, RDS, CloudWatch, Systems Manager, EventBridge, ElastiCache, S3, and Lambda. Strong scripting experience with languages like Bash and Python. Understanding of Full Stack development. Proficiency with GIT. Experience in container orchestration (Kubernetes). Implementing CI/CD pipeline in the project. Sustained track record of making significant, self-directed, and end-to-end contributions to building, monitoring, securing, and maintaining cloud-native solutions, including data processing and analytics solutions through services such as Segment, BigQuery, and Kafka. Exposure to the art of ETL, automation tools such as AWS Glue, and presentation layer services such as Data Studio and Tableau. Knowledge of web services, API, and REST. Exposure to deploying applications and microservices written in programming languages such as PHP and NodeJS to AWS. A belief in simple solutions (not easy solutions) and can accept consensus even when you may not agree. Strong interpersonal skills, you communicate technical details articulately and have demonstrable creative thinking and problem-solving abilities with a passion for learning new technologies quickly.,

Your responsibilities as a Media Performance Manager (Commerce) ? Manage multichannel E-Commerce Platforms on Amazon, Criteo, Citrus, Lazada, Shopee ? Knowledge on Amazon Editor is a must ? Knowledge on Google Ads Editor and Bing Ads Editor is a must ? Hands on experience with media planning, campaign setup and optimisation ? Quality check of reports and analysis followed by insight sharing on campaign performance and troubleshooting ? Work with internal teams to provide clients with Search recommendations and optimization strategies that align with objectives ? Traffic all creatives into platform and set up campaigns prior to launch date ? Maintain knowledge of media technology and analytical tools ? Navigate through variety of third-party systems to complete monthly billing documentation ? Deliver input on campaign goals, approaches, and methods to help establish success metrics and KPI&aposs ? Maintaining daily pacing reports, weekly and monthly performance reports & post campaign analysis reports ? MS Excel, Google Sheets, Data Studio, PowerBI & Presentations ? Automation to save time and increase productivity ? Performance management ? Conducting monthly connects and supporting MBRs, QBRs & annual reviews ? Assist in preparing pitches for new clients You will fit right in if you have ? Any graduate (Specialization in Marketing, Digital Technologies, Business Management, or relevant field would be preferred) ? 4 to 6 Years of experience in Biddable media domain ? Strong knowledge in various E-Commerce Platforms on Amazon, Criteo, Citrus, Lazada, Shopee ? 1+ year Team Management experience If you are excited for ? Opportunities to grow with Publicis Groupe that believes in Power of One. We will help you partner with our clients across the globe in various industries ? Diverse team & progressive work environment ? A place where learning never stops. We ensure you get trained on multiple platforms and domains which enables you to have cross functional experience within the organization ? Empowering your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package YOU are the one were looking for Someone who truly understand what it takes to serve clients beyond expectations: crackone-off client challenges. Develop insights. Spark breakthrough creative ideas. Publicis Global Delivery is proud to be an equal opportunity employer. Eligible applicants will be considered without regard to race, colour, religion, sexual orientation, gender identity, ethnicity, disability status, marital status or any other characteristic protected by applicable local laws, regulations, and ordinances. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India Minimum qualifications: Bachelor's degree or equivalent practical experience, 5 years of experience in project management and stakeholder management, Preferred qualifications: MBA or Six Sigma certification, Experience with AI/LLM technologies, Experience collecting, synthesizing, analyzing, and visualizing complex sources of data, to derive insights and form recommendations to improve operational efficiency and efficacy, Ability to identify and implement automation opportunities, and familiarity with dashboard tools like SQL/Dremel, Data Studio, or Tableau, Ability to build stories and compelling narratives that enable thoughtful decision making and work with our partners in a positive, productive way that encourages collaboration, Excellent executive communication and collaboration skills, including ability to influence without authority and cultivate strong cross-functional relationships, About the jobThe Global Vendor Operations (GVO) organization oversees vendor operations for all of YouTube These vendors provide support to all YouTube users -viewers, paid users and subscribers, and creators, artists and media companies globally, across all YouTube products, The Quality & Training Effectiveness (QTE) team's mission is to enable quality and training teams across GVO to achieve desired operational outcomes that are scalable, standardized, and sustainable This means they focus on creating processes and systems that can grow with the business, are consistent across different areas, and can be maintained effectively over time, In practice, this involves working collaboratively to build synergies between programs, simplifying complex processes, and delivering deeper insights into operational performance The team aims to have a multiplier effect on impact, reducing complexity for stakeholders and fostering innovation to adapt to future changes making the QTE team's role vital in driving operational excellence within GVO, As the Quality and Training Effectiveness Manager, you will drive global training and quality initiatives by collaborating with cross-functional teams to implement process improvements and leverage AI solutions This role focuses on streamlining workflows, automating tasks, and ensuring consistent global operations, delivering measurable impact on both training effectiveness and overall quality At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world We explore new ideas, solve real problems, and have fun ? and we do it all together, Responsibilities Design and implement a comprehensive framework focused on user delight and operational excellence, driving continuous improvement through strategic reviews and data-driven analysis, Identify and leverage synergies across existing and developing programs to maximize business impact Develop resilient operational systems that can effectively adapt to future changes, ensuring seamless execution across global partnerships, Reduce complexity by implementing process automation, consolidation, and strategic mapping, emphasizing value-added efforts and eliminating operational gaps, Utilize advanced data analysis, statistical modeling, and AI/LLM models to automate tasks, enhance decision-making, and drive predictive analytics, ensuring continuous optimization through experimentation and A/B testing, Design and maintain data pipelines and dashboards for real-time insights, and collaborate with technical teams to deploy tailored AI solutions, ensuring effective performance monitoring and continuous improvement, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

As a skilled Data Engineer, you will leverage your expertise to contribute to the development of data modeling, ETL processes, and reporting systems. With over 3 years of hands-on experience in areas such as ETL, Big Query, SQL, Python, or Alteryx, you will play a crucial role in enhancing data engineering processes. Your advanced knowledge of SQL programming and database management will be key in ensuring the efficiency of data operations. In this role, you will utilize your solid experience with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau to create insightful reports and analytics. Your understanding of data warehousing concepts and best practices will enable you to design robust data solutions. Your problem-solving skills and attention to detail will be instrumental in addressing data quality issues and proposing effective BI solutions. Collaboration and communication are essential aspects of this role, as you will work closely with stakeholders to define requirements and develop data-driven insights. Your ability to work both independently and as part of a team will be crucial in ensuring the successful delivery of projects. Additionally, your proactive approach to learning new tools and techniques will help you stay ahead in a dynamic environment. Preferred skills include experience with GCP cloud services, Python, Hive, Spark, Scala, JavaScript, and various BI/reporting tools. Your strong oral, written, and interpersonal communication skills will enable you to effectively convey insights and solutions to stakeholders. A Bachelor's degree in Computer Science, Computer Information Systems, or a related field is required for this role. Overall, as a Data Engineer, you will play a vital role in developing and maintaining data pipelines, reporting systems, and dashboards. Your expertise in SQL, BI tools, and data validation will contribute to ensuring data accuracy and integrity across all systems. Your analytical mindset and ability to perform root cause analysis will be key in identifying opportunities for improvement and driving data-driven decision-making within the organization.,

As a Meta and Google Ads Specialist at Kho.Social, a dynamic and growing digital marketing agency, you will be responsible for planning, executing, and optimizing Meta Ads (Facebook & Instagram) and Google Ads (Search, Display, Video) campaigns to drive traffic, engagement, and conversions. Your key responsibilities will include conducting keyword research, audience targeting, and ad copy development for Google and Meta ads, monitoring and analyzing ad performance metrics, performing A/B testing, managing campaign budgets, and providing detailed performance reports and recommendations for future campaigns. You will collaborate with the content creation team for ad creatives and marketing strategy alignment and stay updated with the latest trends and best practices in Meta and Google advertising. To qualify for this role, you should have a Bachelor's degree in Marketing, Digital Marketing, or a related field, along with 2-4 years of proven experience in Meta Ads and Google Ads. Google Ads and Meta Blueprint certifications are preferred. Strong analytical skills and experience using platforms such as Google Analytics, Google Tag Manager, and Facebook Pixel are required. You should also have experience with budget management and achieving performance KPIs, excellent communication skills, and the ability to work collaboratively in a team. Proficiency in tools like Google Ads Manager, Facebook Ads Manager, and reporting platforms such as Data Studio is essential. In return, we offer a competitive salary and benefits package, an opportunity to work with a creative and energetic team, a collaborative work environment with opportunities for personal and professional growth, as well as flexible working hours and the potential for remote work. Join us at Kho.Social and be part of a team that values innovation, creativity, and continuous learning.,

As an experienced Manager - Media Buying & Planning at Digitales Media, you will play a pivotal role in developing and executing strategic media plans across various digital platforms. Your analytical mindset and operational skills will be put to the test as you lead a small team of media buyers in maximizing buying efficiency and optimizing ROI. Your ability to stay ahead of industry trends and collaborate with cross-functional teams will be vital in ensuring cohesive campaign execution and driving successful outcomes. Digitales Media is a rapidly growing digital marketing agency that thrives on creating meaningful connections between brands and their audience through storytelling and emotional engagement. As a member of our team, you will have the opportunity to work alongside accomplished leaders and contribute to our innovative, data-driven marketing solutions. Key Responsibilities: - Develop and execute strategic media plans across digital platforms such as Meta, Google Ads, and Programmatic - Manage media budgets, ensure cost-efficiency, and optimize ROI through negotiation with media vendors and platforms - Track, analyze, and report on campaign performance and KPIs to inform strategy and decision-making - Collaborate with creative, performance, and analytics teams to ensure cohesive campaign execution - Stay up to date with industry trends and platform updates to drive continuous improvement and innovation Requirements: - 6+ years of experience in digital media buying and planning, preferably in an agency environment - Proficiency in platforms like Google Ads, Meta Ads Manager, and other DSPs - Strong analytical and reporting skills using tools such as Google Analytics and Data Studio - Solid understanding of audience targeting, bidding strategies, and media attribution - Exceptional communication, negotiation, and project management skills - Ability to manage multiple campaigns and clients in a fast-paced environment Preferred Qualifications: - Experience with Ads marketing platforms - Certification in Google Ads or Meta Blueprint is a plus - Familiarity with B2B, Travel, Healthcare, Retail marketing campaigns Join us at Digitales Media and be part of a dynamic team that values creativity, innovation, and results. In addition to a competitive salary ranging from 4,80,000 to 7,20,000 INR per annum, we offer benefits such as life insurance, paid time off, and yearly bonuses. Take the next step in your career and make a meaningful impact in the world of digital marketing with us.,

About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. We are seeking an experienced and highly skilled Senior Google Cloud Analytics & Vertex AI Specialist for the position of Associate Director with 12-15 years of experience, specifically focusing on Google Vertex AI. The ideal candidate will have a deep understanding of Google Cloud Platform (GCP) and extensive hands-on experience with Google Cloud analytics services and Vertex AI. The role involves leading projects, designing scalable data solutions, driving the adoption of AI and machine learning practices within the organization, and supporting pre-sales activities. A minimum of 2 years of hands-on experience with Vertex AI is required. Key Responsibilities: - Architect and Implement: Design and implement end-to-end data analytics solutions using Google Cloud services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. - Vertex AI Development: Develop, train, and deploy machine learning models using Vertex AI. Utilize Vertex AI's integrated tools for model monitoring, versioning, and CI/CD pipelines. Implement custom machine learning pipelines using Vertex AI Pipelines. Utilize Vertex AI Feature Store for feature management and Vertex AI Model Registry for model tracking. - Data Integration: Integrate data from various sources, ensuring data quality and consistency across different systems. - Performance Optimization: Optimize data pipelines and analytics processes for maximum efficiency and performance. - Leadership and Mentorship: Lead and mentor a team of data engineers and data scientists, providing guidance and support on best practices in GCP and AI/ML. - Collaboration: Work closely with stakeholders to understand business requirements and translate them into technical solutions. - Innovation: Stay updated with the latest trends and advancements in Google Cloud services and AI technologies, advocating for their adoption when beneficial. - Pre-Sales Support: Collaborate cross-functionally to understand client requirements, design tailored solutions, prepare and deliver technical presentations and product demonstrations, and assist in proposal and RFP responses. - Project Delivery: Manage and oversee the delivery of data analytics and AI/ML projects, ensuring timely and within budget completion while coordinating with cross-functional teams. Qualifications: - Experience: 12-15 years in data engineering, data analytics, and AI/ML with a focus on Google Cloud Platform. - Technical Skills: Proficient in Google Cloud services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI), strong programming skills in Python and SQL, experience with machine learning frameworks (TensorFlow, PyTorch), data visualization tools (Looker, Data Studio). - Pre-Sales and Delivery Skills: Experience in supporting pre-sales activities, managing and delivering complex data analytics and AI/ML projects. - Certifications: Google Cloud Professional Data Engineer or Professional Machine Learning Engineer certification is a plus. - Soft Skills: Excellent problem-solving, communication, and leadership skills. Qualifications: - B.E./B.Tech/Post Graduate,

We are seeking an experienced and strategic Performance Marketing Manager with expertise in Google Ads and PPC campaigns. The ideal candidate should have a minimum of 5 years of hands-on experience in paid media, with the ability to lead a team, manage client relationships, and drive measurable results through performance-driven advertising. This role is specifically focused on PPC and paid media performance, excluding SEO-related responsibilities. The emphasis will be on client handling and team management. Key Responsibilities: - Lead and oversee Google Ads campaigns across Search, Display, Video, Shopping, and Performance Max. - Develop and implement strategic PPC campaigns to achieve KPIs like CPA, ROAS, CTR, Conversion Rate, and LTV. - Analyze campaign performance, derive insights, and continually optimize for efficiency and outcomes. - Conduct client meetings, deliver campaign performance reports, and gather strategic insights. - Supervise and mentor a team of performance marketing specialists and PPC executives. - Allocate budgets, delegate tasks, and ensure timely and accurate campaign execution by the team. - Collaborate with internal departments (design/content/web) to fulfill ad requirements and landing pages. - Stay informed about Google Ads features, industry trends, and best practices. Key Requirements: - Bachelor's or Master's degree in Marketing, Business, or a related field. - At least 5 years of experience in PPC / Google Ads campaign management. - Proven track record in handling large-scale paid media budgets. - Strong proficiency in Google Ads Manager, Google Analytics, and Tag Manager. - Demonstrated ability to lead a team, assign tasks, review performance, and offer feedback. - Excellent client communication and presentation skills. - Proficient in analytics and reporting using tools like Excel, Google Sheets, or Data Studio. Preferred Skills (Bonus): - Google Ads Certification. - Familiarity with automation rules and campaign scripts. - Experience in digital marketing agencies or client-facing roles. Job Type: Full-time Work Location: In person,

Job Title: SEO Specialist Location: Hyderabad (Work from Office) Employment Type: Full-Time / Permanent About Y-Axis Y-Axis, our mission is to empower individuals to become Global Indiansready to thrive and make an impact on the world stage. As the world's leading overseas career, immigration, and visa company, we guide clients through their international journeys. With 50+ offices across India, Australia, the UAE, the UK, and Canada, and a dedicated team of 1500+ professionals, we have helped over 1 million clients achieve their global aspirations. Job Overview: We are seeking an experienced and driven SEO Specialist to manage and execute our on-page and off-page SEO strategies. This role is responsible for increasing organic traffic, improving keyword rankings, boosting domain authority, and generating quality leads through effective SEO execution. The ideal candidate will have expertise in managing multi-regional websites, technical SEO, and tools like SEMrush, Ahrefs, and Google Analytics. Technical Skills: On Page, Keyword Research, Word Press, Drupal, Google Analytics, Google Tag Manager, Google Search Console, and Data Studio, Tools: Chat GPT, SEMrush, Ahref, Moz, Screaming frog, Google keyword planner Candidate Profile: 1. Possess a thorough understanding of search engine algorithms and ranking factors. 2. Have experience with international SEO, managing multiple websites across different regions and languages that receive traffic from various search engines. 3. Capable of managing multiple client projects simultaneously. 4. Possess excellent written and verbal communication skills. 5. Display strong analytical and problem-solving skills. 6. Have a track record of achieving results through effective SEO strategies. 7. Skilled to create a large number of backlinks. 8. Responsible for overseeing all SEO activities, including content strategy, link building, and keyword strategy, with the goal of improving rankings on major search networks Job Description: 1. The individual will be tasked with enhancing critical metrics, such as organic traffic, domain authority, ranking positions, conversion rates, and engagement levels. 2. The incumbent will be responsible for monitoring web traffic KPIs that focus on growth and quality, such as unique visitors and bounce rates. 3. The job involves creating search-optimized content, including meta titles, meta descriptions, URLs, image alt tags, and other related items. 4. The role requires designing and presenting SEO reports and dashboards to track and report on organic search KPIs, as well as promptly addressing emerging issues. 5. The individual will need to analyze traffic and conversion trends to gain insights and take necessary actions. 6. The job holder will be responsible for providing actionable reports to the marketing team and senior management. 7. The incumbent will need to diagnose and prioritize website performance issues that impact SEO. 9. The individual will need to conduct continuous keyword discovery and analysis, as well as expansion and optimization based on intent. 10. researching and executing search engine optimization latest recommendations. 11. Coordinate with the development team to ensure that SEO best practices are appropriately implemented on newly developed code. 12. Need to work alongside the editorial and marketing teams to promote SEO in content creation and programming. 13. Responsible for suggesting modifications to website architecture, content, linking, and other factors, to enhance the SEO positions for target keywords. 14. A competitive intelligence analyst specializes in providing recommendations to optimize a company's sales performance and business plans. 15. Responsible for generating high-quality organic leads. Responsibilities: The SEO Specialist's responsibilities will include enhancing the organization's organic search results by developing and implementing on-page and off-page SEO campaigns. They will also be tasked with auditing the website, identifying areas of improvement, and generating monthly reports that track the progress of the project, website status, improvements, traffic, and position. 1. Develop and execute SEO strategies to improve organic search rankings across multiple accounts. 2. Monitor SEO status and address detected website errors that impact SEO performance, as needed. 3. Conduct keyword research, provide SEO recommendations for website content, and formulate link building plans. 4. Achieve positive and measurable results monthly through the implementation of effective and up-to-date SEO practices. 5. Stay up to date with the latest search engine algorithm updates. 6. Conduct SEO audits, prepare reports, and gather relevant metric data to offer insightful analysis and data-driven recommendations for website improvements and campaign optimization. 7. Keep up with industry trends and continuously leverage new tools and best practices to enhance campaign efficiency. 8. Research keywords, optimize text and display ads, and collaborate with the marketing team to increase conversions and reduce costs. 9. Meet monthly report deadlines and produce required campaign data on an urgent basis. Application Process Submit your application online and upload your updated resume and a cover letter Send your resume and cover letter to Jeevagan@y-axis.com / Nameera@y-axis.com or call 9121230336 on or WhatsApp at 9160084000 . Shortlisted candidates will be contacted for a preliminary phone interview Selected candidates will be invited for an in-person interview and an assessment Shortlisted candidates will be put through for a final interview with the Senior Manager of the department they are applying to. Finalized candidates will receive an offer letter detailing the next steps.

You should have at least 3 years of hands-on experience in data modeling, ETL processes, developing reporting systems, and data engineering using tools such as ETL, Big Query, SQL, Python, or Alteryx. Additionally, you should possess advanced knowledge in SQL programming and database management. Moreover, you must have a minimum of 3 years of solid experience working with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau, along with a good understanding of data warehousing concepts and best practices. Excellent problem-solving and analytical skills are essential for this role, as well as being detail-oriented with strong communication and collaboration skills. The ability to work both independently and as part of a team is crucial for success in this position. Preferred skills include experience with GCP cloud services such as BigQuery, Cloud Composer, Dataflow, CloudSQL, Looker, Looker ML, Data Studio, and GCP QlikSense. Strong SQL skills and proficiency in various BI/Reporting tools to build self-serve reports, analytic dashboards, and ad-hoc packages leveraging enterprise data warehouses are also desired. Moreover, having at least 1 year of experience in Python and Hive/Spark/Scala/JavaScript is preferred. Additionally, you should have a solid understanding of consuming data models, developing SQL, addressing data quality issues, proposing BI solution architecture, articulating best practices in end-user visualizations, and development delivery experience. Furthermore, it is important to have a good grasp of BI tools, architectures, and visualization solutions, coupled with an inquisitive and proactive approach to learning new tools and techniques. Strong oral, written, and interpersonal communication skills are necessary, and you should be comfortable working in a dynamic environment where problems are not always well-defined.,

Salary: 20 to 35 LPA Exp: 3 to 7 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.

Salary: 20 to 35 LPA Exp: 3 to 7 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.

You will be joining as a GCP Data Architect at TechMango, a rapidly growing IT Services and SaaS Product company located in Madurai and Chennai. With over 12 years of experience, you are expected to start immediately and work from the office. TechMango specializes in assisting global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. In this role, you will be leading data modernization efforts for a prestigious client, Livingston, in a highly strategic project. As a GCP Data Architect, your primary responsibility will be to design and implement scalable, high-performance data solutions on Google Cloud Platform. You will collaborate closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals. Key Responsibilities: - Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP) - Define data strategy, standards, and best practices for cloud data engineering and analytics - Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery - Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery) - Architect data lakes, warehouses, and real-time data platforms - Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP) - Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers - Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards - Provide technical leadership in architectural decisions and future-proofing the data ecosystem Required Skills & Qualifications: - 10+ years of experience in data architecture, data engineering, or enterprise data platforms - Minimum 3-5 years of hands-on experience in GCP Data Service - Proficient in: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner - Python / Java / SQL - Data modeling (OLTP, OLAP, Star/Snowflake schema) - Experience with real-time data processing, streaming architectures, and batch ETL pipelines - Good understanding of IAM, networking, security models, and cost optimization on GCP - Prior experience in leading cloud data transformation projects - Excellent communication and stakeholder management skills Preferred Qualifications: - GCP Professional Data Engineer / Architect Certification - Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics - Exposure to AI/ML use cases and MLOps on GCP - Experience working in agile environments and client-facing roles What We Offer: - Opportunity to work on large-scale data modernization projects with global clients - A fast-growing company with a strong tech and people culture - Competitive salary, benefits, and flexibility - Collaborative environment that values innovation and leadership,

Job Location: Gurugram Night shift (11pm onwards) Job Description: We are looking for Data Analyst with expertise in Data Studio, SFDC (Sales Force) and Google Sheets, BigQuery, Google Cloud Platform skills be included as well . We are looking for a Data Analyst with strong Bigquery SQL and Advance Excel skills and expertise in Looker Studio to drive data-driven insights and reporting. The ideal candidate will work closely with stakeholders to analyze data, create dashboards, and optimize reporting processes. Responsibilities: Write and optimize complex SQL queries for data analysis. Develop interactive dashboards and reports in Looker Studio . Extract, transform, and analyze data to support business decisions. Work with cross-functional teams to improve data visualization and reporting efficiency. Ensure data accuracy and integrity in all reports. Requirements: 4+ years of experience in data analysis. Strong proficiency in Bigquery SQL & Advance Excel (Joins, CTEs, Window Functions, etc.). Hands-on experience Data Studio, SFDC (Sales Force) and Google Sheets, Google Cloud Platform skills

We have a suitable opportunity in the Beauty Tech division for the position of Data Product Manager Data Engineering & Data Science to join our expanding Data Analytics Domain team . This critical role will shape the future of data-driven decisions at LOral, leveraging data engineering, machine learning, and advanced analytics to deliver innovative customer experiences. The location of the job will be in Mumbai HO. Key Responsibilities: As Data Product Manager: Data Engineering & Data Science , you will own the product vision, strategy, and roadmap for our internal data & analytics tools and machine learning product capabilities. You will act as the tech partner between business stakeholders and data engineering, data science and design teams bringing cutting-edge data products to life. This requires a deep understanding of LOrals business objectives, translating them into functional, user-friendly solutions. Strategy & Roadmap: Define and champion the technology vision, strategy, and roadmap for data analytics products & use cases with diverse complexities that include Dashboards, Reports to complex data products, incorporating machine learning and Generative AI. This includes identifying market opportunities, defining target audiences, and prioritizing product features. Requirements & Analysis: Collaborate with stakeholders across business units (Commerce, Transformation, Marketing, Supply Chain, etc.) to gather and analyze requirements, translating user needs into detailed product specifications. Development & Execution: Oversee the entire product lifecycle from ideation to launch ensuring timely and efficient delivery of high-quality products by working closely with data engineering, design, and QA teams. Data Platform Run & Change Management: Manage the current data platform for the consistency on the performance and run mode with the necessary updates on day-to-day basis and do the necessary updates and compliance on uptime. Stakeholder Management: Ensure alignment by communicating product updates, roadmap changes, and strategic decisions to key stakeholders. Cultivate strong cross-functional relationships to foster collaboration and drive product success. Data Analysis & Insights: Leverage data analysis to track product performance, measure key metrics, and identify areas for continuous improvement. Machine Learning Expertise: Possess a solid understanding of machine learning concepts, algorithms, and applications to effectively guide the development of ML-powered products. Key Competencies: Highly driven and technically proficient program/delivery manager with proven experience. Excellent stakeholder management skills with an ability to work in a cross-functional environment Excellent planning, organizational, and time management skills. Strong communication and collaboration skills managing key stakeholders, vendors and partners in business and IT (Data). A proactive, make it happen temperament with operational excellence and agility Physical Demands (e.g. % travel): Travel may be need based Qualification: Bachelors degree in computer science, Engineering, Business, Statistics, or a related field. Master's degree preferred. 8+ years of product management experience focused on data analytics, business intelligence, or machine learning products. Proven track record of launching and managing data-driven products within cloud environments, specifically GCP (BigQuery, Data Studio, BQML, SQL, PowerBI). Exceptional analytical, problem-solving, communication, presentation, and interpersonal skills. Strong understanding of machine learning concepts, algorithms, and their application within the GCP AI/ML ecosystem. Experience with Agile development methodologies. A passion for the beauty and cosmetics industry.

Skill required: Delivery - Signal Tag Management Designation: I&F Decision Science Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI Enterprise tag management platform used to manage website advertising and analytics tags. Configure, Implement and update tags and libraries using JavaScript in IT development cycle, debug and understand which tags are firing on a website and why. What are we looking for Web Analytics Tag Implementation Google Tag Manager (GTM) Implementation Google Analytics Tag implementation Strong expertise of GA4 Experience in building Looker/Data Studio Dashboards or Tableau Dashboards Experience with Tag Auditing and Testing Strong JavaScript Skills Data Layer Understanding GTM/Google Analytics Certification preferred Ability to meet deadlines Adaptable and flexible Ability to work well in a team Ability to handle disputes Commitment to quality Roles and Responsibilities: Expert in Digital Analytics Implementation working with international client for 6-8 years Understanding functional and technical requirements Extensive experience working with Analytics Tags implementation using Google Tag Manager Extensive experience working with Google Analytics 4 along with GTM Excellent JS skills required for Analytics implementation Develop custom solutions using JavaScript with within the Tag Management System for tracking user behavior and send the data to web analytics tools for building further analytics reporting capabilities Experience with Data visualization tools like Looker /Data Studio or Tableau dashboard Exposure in digital marketing, campaign analytics and web reporting Manage expectations in Data Extraction from any analytics tool & reporting delivery and implementation efforts. Understanding of Website Data Layer and mapping of website data layer with GTM Tags Excellent written and oral communication skills to build relationship with the client keeping the geographical and cultural difference in mind. Strong analytical and problem-solving skills. Ability to understand the business context and apply analytical concepts to provide business solutions Willingness to continuously learn and upgrade skills Ability to work both independently and in a team-oriented environment Interest in working in digital marketing and passion for analytics Hands-on experience working on 3rd party tracking implementations using tag manager templates Nice to have Experience on GA/GTM APIs and building automation tools for analytics reporting & Implementation will be an added advantage Qualification Any Graduation

The role of a Business Analyst focuses on data, statistical analysis, and reporting to investigate and analyze business performance, provide insights, and drive recommendations to enhance performance. You will be responsible for driving business insights from data with a focus on business level metrics. Additionally, you will need to interact effectively with business stakeholders and develop insightful analyses about business implications. Collaborating with stakeholders at all levels to address data support and reporting needs will also be a key part of your responsibilities. You will be required to analyze data from multiple angles to identify trends that highlight areas of concern or opportunities. Creating and delivering data reports, dashboards, and presentations to address strategic questions will be essential. Furthermore, you will play a crucial role in identifying data needs and driving data quality improvement projects. Key Skills Required: - Ideally, have 2-5 years of experience working on data analytics and business intelligence, preferably in b2c consumer internet product companies. - Proven work experience with tools such as MS Excel, Google Analytics, SQL, Data Studio, any BI Tool, as well as experience in a business analyst or similar role. - Comfortable working in a fast-changing and ambiguous environment. - Strong critical thinking skills and attention to detail. - In-depth understanding of datasets, data, and business operations. - Ability to demonstrate sound business judgment. Education: Applicants must have an engineering academic background with specialization in data science. Join Us: We are committed to bringing half a billion Indians into the mainstream economy, and everyone in our team is dedicated to achieving this goal. Our success is driven by the collective energy and customer-focused approach of our people. Join us to be part of the largest merchant acquirer in India. Compensation: If you are the right fit, we believe in creating wealth for you. With over 500 million registered users and 21 million merchants in our ecosystem, we are uniquely positioned to democratize credit for consumers and merchants, and we are fully committed to this vision. Join us to be a part of India's largest digital lending story and contribute to this exciting journey!,

Key Responsibilities: Develop and execute digital marketing strategies to boost brand awareness and drive lead generation Manage end-to-end digital campaigns across multiple channels email, social media, Google, Facebook, and display ads Track, measure, and optimize campaign performance using data and analytics tools Collaborate with content, design, and product teams to deliver impactful digital user experiences Prepare performance reports and actionable insights using tools like Google Data Studio or Tableau Stay current with digital marketing trends, tools, platform updates, and best practices Qualifications & Skills: 24 years of hands-on experience in digital marketing (correction from 24 years) Proven expertise in Facebook Ads, Google Ads, and mobile app campaigns Strong background in user acquisition, retargeting strategies, and funnel optimization Excellent analytical skills with the ability to interpret campaign data effectively Proficient in Excel; knowledge of Data Studio or Tableau is a strong plus Familiarity with SEO/SEM and attribution tools like Appsflyer Excellent communication and cross-functional collaboration abilities Self-driven, detail-oriented, and results-focused

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect - Data & AI About Genpact: Genpact (NYSE: G) is a global professional services firm delivering outcomes that transform businesses. With a proud 25-year history and over 125,000 diverse professionals in 30+ countries, we are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for our clients. We serve leading global enterprises, including the Fortune Global 500, leveraging our deep industry expertise, digital innovation, and cutting-edge capabilities in data, technology, and AI. Join our team to shape the future of business through intelligent operations and drive meaningful impact. The Opportunity: Genpact is seeking a highly accomplished and visionary Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect, specializing in Data and Artificial Intelligence. This pivotal role will be instrumental in driving Genpact%27s growth in the GCP ecosystem by leading complex pre-sales engagements, designing transformative data and AI solutions, and fostering executive-level client relationships. You will operate at the intersection of business strategy and cutting-edge technology, translating intricate client challenges into compelling, implementable solutions on Google Cloud. Responsibilities: . Executive Solutioning & Strategy: Lead the end-to-end technical pre-sales cycle for Genpact%27s most strategic data and AI opportunities on GCP. Engage at the CXO level and with senior business and IT stakeholders to deeply understand their strategic objectives, pain points, and competitive landscape. . Architectural Leadership: Design and articulate highly scalable, secure, and resilient enterprise-grade data and AI architectures on Google Cloud Platform. This includes expertise in BigQuery, Dataflow, Dataproc, Vertex AI (MLOps, Generative AI), Cloud AI services, Looker, Pub/Sub, Cloud Storage, Data Catalog, and other relevant GCP services. . Value Proposition & Storytelling: Develop and deliver highly impactful presentations, workshops, and proof-of-concepts (POCs) that clearly demonstrate the business value and ROI of Genpact%27s data and AI solutions on GCP. Craft compelling narratives that resonate with both technical and non-technical audiences. . Deal Ownership & Closure: Work collaboratively with sales teams to own the technical solutioning and commercial structuring of deals from qualification to closure. Lead the estimation, negotiation, and transition of deals to the delivery organization, ensuring alignment and seamless execution. . Technical Deep Dive & Expertise: Provide deep technical expertise on Google Cloud%27s Data & AI portfolio, staying at the forefront of new service offerings, product roadmaps, and competitive differentiators. Act as the subject matter expert in client discussions and internal enablement. . Cross-Functional Collaboration: Partner effectively with Genpact%27s sales, delivery, product development, and industry vertical teams to ensure that proposed solutions are innovative, deliverable, and aligned with market demands and Genpact%27s capabilities. . Thought Leadership: Contribute to Genpact%27s market presence and intellectual property through whitepapers, conference presentations, industry events, and client advisory sessions. Position Genpact as a leader in data-driven transformation on GCP. . Team Mentorship & Enablement: Provide mentorship and technical guidance to junior pre-sales architects and delivery teams, fostering a culture of continuous learning and excellence in GCP Data & AI. Qualifications we seek in you! Minimum Qualifications . progressive experience in data, analytics, artificial intelligence, and cloud technologies, with a strong focus on technical pre-sales, solution architecture, or consulting leadership roles. . hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. . Deep and demonstrable expertise across the Google Cloud Data & AI stack: o Core Data Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. o AI/ML Services: Vertex AI (including MLOps, Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow, Recommendation AI. o BI & Visualization: Looker, Data Studio. . Proven track record of successfully leading and closing multi-million dollar deals involving complex data and AI solutions on cloud platforms. . Exceptional executive presence with the ability to engage, influence, and build trusted relationships with C-level executives and senior stakeholders. . Strong commercial acumen and experience in structuring complex deals, including pricing models, risk assessment, and contract negotiation. . Outstanding communication, presentation, and storytelling skills, with the ability to articulate complex technical concepts into clear, concise business benefits. . Demonstrated ability to lead cross-functional teams and drive consensus in dynamic and ambiguous environments. . Bachelor%27s degree in Computer Science, Engineering, or a related technical field. Master%27s degree or MBA preferred. . Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). . Ability to travel as required to client sites and internal meetings. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Work Experience 10 - 15 years in Telecommunications or relevant IT industry 5 years’ experience working in Cloud services Technical / Professional Skills Knowledge and understanding of Public Cloud pricing schemes. Experience with native and 3rd party Public Cloud cost management & advisory tools (Ternary, GCP Billing, GCP big query, big query, GCP Recommender, AWS Cost Explorer, AWS Trusted Advisor) Experience with data analysis and data visualisation tools (DataStudio, BigQuery, PowerBI, Tableau etc.) Have good experience in GCP and/or AWS and/or Azure. Capable to consolidate data and deliver aggregate view/ reports. High proficiency with MS Excel, PowerPoint and Power BI Knowledge and practical experience with SQL, Python

Job Title: Digital Marketing Campaign Manager Location: Hyderabad (Onsite) Employee Type: Full Time Notice Period: Immediate to 15 Days Role Overview: The Digital Marketing Campaign Manager is responsible for planning, executing, and optimizing multi-channel digital marketing campaigns that drive brand awareness, lead generation, and revenue growth. This role collaborates closely with creative, content, analytics, and sales teams to ensure campaigns meet performance targets and align with overall business objectives. Key Responsibilities Campaign Strategy & Planning: Define campaign objectives, target audiences, messaging, channels, and KPIs. Develop integrated media plans covering paid search (SEM/PPC), display, social media, email, and programmatic advertising. Execution & Optimization: Set up, launch, and monitor campaigns in platforms such as Google Ads, Facebook Business Manager, LinkedIn Campaign Manager, and programmatic DSPs. Perform A/B tests on ad creatives, copy, landing pages, and audience segments to maximize ROI. Continuously analyze performance metrics (CTR, CPA, CPL, ROAS, conversion rates) and adjust bids, budgets, and targeting parameters to meet or exceed targets. Cross-Functional Collaboration: Work with content and design teams to develop high-impact creatives, ad copy, and landing page assets. Coordinate with marketing operations to ensure accurate tracking, tagging (UTMs), and reporting setups. Liaise with sales to align on lead qualification criteria and hand-off processes, enabling timely follow-up and pipeline growth. Reporting & Analysis: Build and maintain campaign dashboards and weekly/monthly reports highlighting performance trends, insights, and recommendations. Present campaign results and strategic learnings to senior leadership and stakeholders. Budget & Vendor Management: Manage campaign budgets, pacing, and forecast spend across channels. Evaluate and manage relationships with external agencies, media partners, and technology vendors. Market Research & Innovation Stay current on digital marketing trends, emerging channels, and industry best practices. Recommend and pilot new tools or platforms (e.g., AI-driven optimization, attribution models) to improve campaign effectiveness. Qualifications & Experience: Bachelors degree in Marketing, Business, Communications, or related field. 46 years of hands-on experience managing B2B or B2C digital marketing campaigns. Proven track record driving measurable results across multiple paid channels. Proficiency with Google Ads, Facebook/Instagram Ads, LinkedIn Ads, email-marketing platforms (e.g., Mailchimp, HubSpot), and analytics tools (Google Analytics, Data Studio). Strong analytical skills and comfort working with large datasets; ability to translate data into actionable insights. Core Skills & Competencies: Excellent project management, organizational, and time-management abilities. Strong written and verbal communication skills; capable of crafting compelling copy and presenting insights clearly. Detail-oriented mindset with a bias toward testing and optimization. Ability to thrive in a fast-paced, deadline-driven environment and manage multiple campaigns simultaneously. Collaborative team player with a proactive, solution-oriented attitude.