3272 Looker Jobs - Page 42

Job tile: Analyst- Launch and Commercialization Data Location: Hyderabad About The Job Strategic context: Sanofi has currently the best and more robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. As part of GTMC, the vision of the launch and commercialization pillar is the establishment a new Sanofi wide Launch excellence cross functional framework, ensuring excellence in Medico Marketing fundamentals and upskilling the Medico Marketing teams with cutting edge new technologies, capabilities and ways of working. Launch and commercialization will not only be a centre for expertise and though leaders but also an important support to execute on those best-in-class capabilities. On this journey, our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? The Analyst - Launch and Commercialization Data will support the launch and commercialization team by consolidating both quantitative and qualitative data to assess product launch effectiveness. This role involves tracking KPIs, forecasting, and consolidating data to provide actionable insights, while ensuring high-quality data collection and reporting. The analyst will collaborate with global teams to deliver comparative analytics across multiple product launches, aiding in strategic decision-making and process improvements. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities Analytical support for Performance Launch and Effectiveness (Lead/team): Provide analytical support to the Performance Launch Effectiveness Lead/team, working on ad-hoc requests and reporting for launch performance projects. Quantitative Data Consolidation: Collect, organize, and consolidate quantitative data from internal and external sources to support the evaluation of launch performance. Create standard templates for reporting, automating data extraction where possible to reduce manual effort. Analyze internal benchmarks such as historical performance and compare them with external benchmarks from the industry to measure product launch effectiveness. Assist in forecasting by providing data-driven insights, ensuring accurate projection of market penetration, revenue potential, and launch KPIs. Qualitative Data Management: Launching, managing and build reports on surveys (including internal customer satisfaction, baseline assessments, and others) Ensure that qualitative data, such as user feedback, market insights, and internal learnings, is collected systematically and timely from relevant sources. Validate the quality and relevance of the collected data, ensuring it is presented in a digestible and actionable format for relevant stakeholders, clearly outlining what’s working and what needs adjustment. Conduct interviews with stakeholders to gather insights on success stories, lessons learned, and areas for improvement related to product launches. Consolidate findings, insights, and lessons learned. Performance Tracking: Track and interpret Key Performance Indicators (KPIs) and Key Initiative Indicators (KIIs) to measure launch effectiveness, identifying trends and gaps in performance. Collaboration and Communication: Work closely with commercial, marketing, and product teams to align data analysis efforts with business objectives. Proactively suggest improvement measures to the current process. People: (1) Work with cross-functional teams to understand the requirement for their respective teams; (2) Maintain effective relationship with the stakeholders within the allocated GTMC pillar and cross-pillars – with an end objective to ensure adherence and effectiveness of customer-engagement strategy/plans; (3) Constantly assist project team for communication/trainings on methods/processes/tools/platforms (4) Partner with Manager/Leads for individual development plans; (5) Collaborate with cross-functional teams in GTMC to train for continuous improvement/digital transformation/agile mindset/thoughtful risk taking; (6) Provide proactive recommendations on operational excellence and play an active role to follow the best practices in relation to processes, communications, training management, documentation and technical requirements Performance: (1) On-time tracking of effectiveness KPIs and report publishing; (2) Effectively communicate with cross-functional teams to constantly improve quality and productivity; (3) Recommend and implement tactical process improvements within the department and division-wide Process: (1) Monitor compliance and take actions as required to ensure 100% compliance; (2) Collate and publish metrics & reports as per defined frequency; (3) Stay up to date on current industry trends; (4) Maintain understanding of continuous improvement techniques, and agile methodology; (5) Contribute to overall quality enhancement; (6) Secure adherence to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards; (7) Leverage advanced training delivery tools and techniques for enhancing the effectiveness of customer experience Stakeholder: (1) Work closely with GTMC/Omnichannel pillars (Global, Local, and Hub to deliver best-in-class capabilities About You Experience: 3-5 years of experience in data analysis, preferably in a pharmaceutical or healthcare setting.Proven experience in performance tracking and comparative analytics related to product launches.Analytical background with experience in forecasting, tracking KPIs, and interpreting data for actionable business insights. Soft skills: A highly analytical professional with strong problem-solving skills, able to derive valuable insights from both quantitative and qualitative data. Excellent communication abilities allow for clear presentation of data-driven insights to both technical and non-technical stakeholders. Meticulous attention to detail ensures data accuracy and integrity, while flexibility enables seamless adaptation to shifting priorities in a fast-paced business environment. Ability to work independently and within a team environment. Strong organizational and time management skills to effectively manage competing priorities. Technical skills:Advanced proficiency with Excel, Power BI, or similar data analysis and visualization tools.Experience with data visualization tools (e.g., Tableau, Power BI, Looker etc.) and knowledge of HTML and CSS is preferred.Ability to perform forecasting using historical data, market research, and industry benchmarks.Experience with internal and external benchmark analysis, comparing past launches and industry standards.Ability to visualize complex data in simple, actionable insights for non-technical stakeholders.Project Management experience and knowledge of key project management tools (i.e. Jira, Trello) is preferredExperience working with Social Media Platforms is desirable Education: Bachelor’s degree in data science, business analytics, statistics, economics, or a related field. Additionally, relevant advanced/postgraduate degree in data science/business analytics/management/similar discipline is desirable Languages: Excellent knowledge of English language (spoken and written) Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Pursue Progress. Discover Extraordinary. Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Industry: Digital Marketing & IT Services Mindtel operates at the intersection of technology consulting and performance marketing, empowering B2B and B2C brands across e-commerce, SaaS, and enterprise segments to unlock measurable growth. We deliver data-driven campaign management, martech implementation, and conversion optimization services from our on-site center of excellence in India. Role & Responsibilities Lead a 6-8 member cross-channel marketing squad, setting quarterly OKRs and weekly sprint goals aligned with client ROI targets. Design and execute full-funnel paid and organic strategies across SEO, SEM, social, display, and email, allocating budgets exceeding INR 2 Cr annually. Audit analytics and attribution setups, building dashboards that surface CAC, ROAS, and LTV metrics for data-backed decision making. Mentor specialists on campaign optimisation, copy testing, and bid automation; run regular training to uplift channel expertise. Collaborate with sales and product teams to craft GTM messaging and ensure consistent brand voice across all touchpoints. Present monthly performance reviews to C-suite stakeholders, highlighting wins, growth experiments, and next-step recommendations. Skills & Qualifications Must-Have 5+ years hands-on digital marketing with at least 2 years in a lead role. Proven success driving ROI through Google Ads, Meta Ads, and LinkedIn Campaign Manager. Expertise in technical SEO, keyword research, and on-page optimisation. Advanced proficiency in Google Analytics 4, Tag Manager, and Looker Studio. Ability to manage multi-crore budgets and deliver data-centric reports. Strong team leadership, mentoring, and stakeholder communication skills. Preferred Experience with marketing automation platforms such as HubSpot or Marketo. Certification in Google Ads or Facebook Blueprint. Exposure to international markets and B2B SaaS growth funnels. Benefits & Culture Highlights On-site innovation lab equipped with state-of-the-art martech stack and sandbox accounts. Merit-based fast-track career progression and sponsored certifications. Collaborative, learning-first environment with regular hackathons and knowledge sessions. Location: On-site, India (Bengaluru Headquarters). Join Mindtel to architect high-impact campaigns, mentor future marketing stars, and shape the growth narrative of global brands. Skills: google analytics,on-page optimisation,digital marketing,mentoring,ppc,marketing automation platforms,email marketing,crm,google ads,stakeholder communication,marketo,data analysis,looker studio,on-page optimization,linkedin campaign manager,content strategy,seo,budget management,tag manager,social media,keyword research,team leadership,technical seo,sem,google analytics 4,meta ads,hubspot

About Tala Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC ’s Disruptor 50 five years in a row, CNBC ’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our m ission. By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you! We're seeking a data-driven Senior User Acquisition Specialist to expand our user base through paid, organic, and analytical initiatives. This role requires a strong understanding of various acquisition channels, a passion for data analysis, and a proven ability to deliver results. What You'll Do Data Analytics: Translate complex data into actionable insights, automate reporting, and build dashboards to track key performance metrics like CPA, ROAS and LTV. Market Intelligence: Analyze market trends, competitor strategies, and consumer feedback to identify acquisition opportunities across various channels (e.g. Facebook Ads, Google Ads, organic search) Paid User Acquisition: Optimize paid advertising campaigns towards clear ROAS targets, manage ad creatives briefing and rotation, track KPIs, and collaborate with creative teams and agencies to drive user growth. Organic User Acquisition: Improve organic visibility through App Store optimizations and other initiatives. Global Working Culture: This role will support multiple time zones and countries. It requires an interest in global customer insights. What You'll Need Strong analytical and problem-solving skills. Experience in SQL and data visualization tools (e.g. Looker). Experience with marketing analytics tools and MMPs (Google Analytics, Adjust) is a strong plus. Prior experience with managing paid marketing campaigns or building analytics solutions for marketing teams is a strong plus. Fluency in Hindi and English, alongside excellent communication and collaboration skills. Preferred Skills & Experience 3+ years of experience in data analytics and A/B testing. 3+ years of experience in user acquisition or digital marketing. Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

About Tala Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC ’s Disruptor 50 five years in a row, CNBC ’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our m ission. By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you! We’re seeking an innovative Creative Strategist, who will develop impactful creatives to drive global customer growth. Your key goals will be to scale performance marketing spend with high efficiency and shape Tala’s positioning in the FinTech category. You will collaborate with cross-functional teams to deliver on paid user acquisition and ASO goals. This role requires a strong understanding of user acquisition and ASO creative metrics, a passion for working with creatives and strong project management skills. What You'll Do Creative Ideation: Research and pitch creative concepts. Choose creative vendors, work with artists to refine paid media and ASO creative concepts to maximize success rate. Creative Execution: Brief in creatives to internal artists and vendors. Ensure timely feedback, revisions and delivery of assets. Creative Testing: Work with User Acquisition Managers on testing schedules and campaign structures to maximize creative success rate. Creative Reporting: Work with Data Analysts to deliver robust creative reporting. Translate complex creative metrics data into actionable insights. Share these insights with vendors and internal artists for Creative Ideation. Market Intelligence: Analyze market trends, competitor strategies, and consumer insights to identify creative opportunities across various paid and organic channels. Global Working Culture: This role will support creative production in several countries. It requires an interest in global customer insights. What You'll Need 5+ years of experience in a creative strategy role, preferably in an agency or in-house marketing team. Proven track record of developing and executing creatives that tie to successful performance marketing results. Strong understanding of marketing principles, brand strategy, and consumer behavior. Excellent communication, presentation, and interpersonal skills. Proficiency in creative research tools, project management tools (e.g. Jira) and marketing analytics platforms (e.g. Google Analytics, Adjust, Looker, Excel). Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Company Description Forbes Advisor is a high-growth digital media and technology company that empowers consumers to make confident decisions about money, health, careers, and everyday life. Our global data organisation builds modern, AI-augmented pipelines that turn information into revenue-driving insight. Job Description We’re hiring a Program Manager to orchestrate complex, cross-functional data initiatives—from revenue-pipeline automation to analytics product launches. You’ll be the connective tissue between Data Engineering, Analytics, RevOps, Product, and external partners, ensuring programs land on time, on scope, and with measurable impact. If you excel at turning vision into executable roadmaps, mitigating risk before it bites, and communicating clearly across technical and business audiences, we’d love to meet you. Key Responsibilities: Own program delivery for multi-team data products (e.g., revenue-data pipelines, attribution models, partner-facing reporting APIs). Build and maintain integrated roadmaps, aligning sprint plans, funding, and resource commitments. Drive agile ceremonies (backlog grooming, sprint planning, retrospectives) and track velocity, burn-down, and cycle-time metrics. Create transparent status reporting—risks, dependencies, OKRs—tailored for engineers up to C-suite stakeholders. Proactively remove blockers by coordinating with Platform, IT, Legal/Compliance, and external vendors. Champion process optimisation: intake, prioritisation, change management, and post-mortems. Partner with RevOps and Media teams to ensure program outputs translate into revenue growth and faster decision making. Facilitate launch readiness—QA checklists, enablement materials, go-live runbooks—so new data products land smoothly. Foster a culture of documentation, psychological safety, and continuous improvement within the data organisation. Qualifications 7+ years program or project-management experience in data, analytics, SaaS, or high-growth tech. Proven success delivering complex, multi-stakeholder initiatives on aggressive timelines. Expertise with agile frameworks (Scrum/Kanban) and modern collaboration tools (Jira, Asana, Notion/Confluence, Slack). Strong understanding of data & cloud concepts (pipelines, ETL/ELT, BigQuery, dbt, Airflow/Composer). Excellent written and verbal communication—able to translate between technical teams and business leaders. Risk-management mindset: identify, quantify, and drive mitigation before issues escalate. Experience coordinating across time zones and cultures in a remote-first environment. Nice to Have Formal certification (PMP, PMI-ACP, CSM, SAFe, or equivalent). Familiarity with GCP services, Looker/Tableau, or marketing-data stacks (Google Ads, Meta, GA4). Exposure to revenue operations, performance marketing, or subscription/affiliate business models. Background in change-management or process-improvement methodologies (Lean, Six Sigma). Additional Information Monthly long weekends—every third Friday off. Fitness and commute reimbursement. Remote-first culture with flexible hours and a high-trust environment. Opportunity to shape a world-class data platform inside a trusted global brand. Collaborate with talented engineers, analysts, and product leaders who value innovation and impact

🧾 Job Title: MIS Executive 📍 Location: Yamunanagar, Haryana 🕒 Experience: 2–5 Years 💰 Salary: ₹30,000 – ₹55,000 per month (based on experience and skillset) 📅 Joining: Immediate preferred 🧠 About the Role We are seeking a detail-oriented and tech-savvy MIS Executive to join our team in Yamunanagar. The ideal candidate will have hands-on experience in automation, dashboard creation, and advanced spreadsheet management. Proficiency in AI tools and a strong analytical mindset are essential for success in this role. 🔧 Key Responsibilities Develop, maintain, and optimize dashboards using Excel and Google Sheets Automate repetitive reporting tasks using scripts or AI-based tools Analyze large datasets to generate actionable insights and performance reports Collaborate with cross-functional teams to streamline data flow and reporting processes Ensure data accuracy, consistency, and timely delivery of MIS reports Implement AI tools to enhance reporting efficiency and decision-making ✅ Must-Have Skills Advanced proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Macros, etc.) Strong command of Google Sheets and Google Apps Script Experience with AI tools for data analysis or automation (e.g., ChatGPT, Bard, or similar) Knowledge of automation tools (e.g., Zapier, Power Automate, or custom scripting) Ability to design and manage interactive dashboards (e.g., Looker Studio, Power BI preferred) Excellent analytical, problem-solving, and communication skills 🎓 Qualifications Bachelor’s degree in Computer Science, IT, Statistics, or a related field 2–5 years of relevant experience in MIS/Data Analysis roles 🚀 What We Offer Competitive salary based on experience Opportunity to work with cutting-edge tools and technologies A collaborative and growth-oriented work environment Skills: looker studio,artificial intelligence,ai tools for data analysis,google,dashboards,automation tools,power bi,advanced,microsoft excel,salary,google appscript,excel,reporting,ai tools,communication skills,dashboard design,data analysis,analytical skills,automation,advance excel,data,problem-solving skills,google sheets,python

Company Size Large-scale / Global Experience Required 2 - 5 years Working Days 5 days/week Office Location Karnataka, Bengaluru Role & Responsibilities As an AI Data Application Specialist, you will be part of a growing AI Center of Excellence, working to integrate AI into data-driven decision-making across agencies. This role involves analyzing existing data architectures, developing AI-powered prototypes, and consulting on AI solutions—bridging the gap between technical execution and business impact. The focus is on strategic system design and AI consulting, rather than day-to-day coding. You will work collaboratively to develop AI-powered workflows, optimize data pipelines, and explore generative AI applications to enhance business intelligence. AI Strategy & Consulting for Data System Optimization: Advise on how AI can enhance data systems within different business and technology environments. Assess current data architectures and identify opportunities for AI integration. Design sustainable AI-driven data solutions, considering scalability, maintenance, and real-world business impact. Communicate the advantages and limitations of AI-powered data workflows to key stakeholders. AI-Powered Data Pipeline Design & Prototyping: Develop AI-supported data systems, integrating RESTful APIs, relational databases, and cloud storage solutions. Use Python, Numpy, Pandas, Scikit-learn, and Scipy to analyze data and build AI-enabled solutions. Design and implement machine learning models to solve key business challenges. Collaborate with cross-functional teams, utilizing version control and code review practices. Research & AI Innovation for Business Solutions: Stay informed on Generative AI, Large Language Models (LLMs), and multimodal AI developments. Explore new AI-driven business applications, providing recommendations on AI adoption strategies. Build AI prototypes to assess feasibility, efficiency, and long-term viability. Ideal Candidate 2+ years of experience in data science, machine learning, or applied statistics. Strong consulting and communication skills—ability to simplify complex AI concepts for non-technical audiences. Fluent in English (mandatory)—comfortable engaging with global teams and stakeholders. Proficiency in Python and data analysis tools (Pandas, Numpy, Scikit-learn, etc.). Experience working with data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure). Familiarity with Generative AI tools and LLMs (e.g. ChatGPT, Gemini, Claude) and their integration into data systems. Preferred Skills Experience in technical consulting or AI solution design. Understanding of AI ethics, model governance, and scalable AI systems. Knowledge of data visualization tools (Power BI, Tableau, Looker) for AI-driven analytics. Why Join This Role? AI-Driven Impact – Play a critical role in integrating AI into real-world data solutions. Innovation-Focused – Work with cutting-edge AI technologies, including LLMs and multimodal AI. Global Exposure – Collaborate with international teams and contribute to enterprise-wide AI transformation. Strategic Influence – Be at the forefront of business process optimization using AI. Skills: python,learning,pandas,teams,scipy,generative ai tools,scikit-learn,numpy,data solutions,machine learning,data visualization tools (power bi, tableau, looker),restful apis,data,design,integration,large language models (llms),data systems,cloud platforms (aws, gcp, azure),data pipelines

Experience Required 12 - 20 years Job Description About Axis My India Axis My India Limited is India’s leading consumer data intelligence company, committed to enabling data-driven decision-making. It has launched the "A" App , a people empowerment platform designed to enhance the lives of a billion citizens by providing access to authentic information and practical solutions for everyday needs. The app follows a PHYGITAL model, leveraging Axis My India’s vast network of 5,000+ locations across 700 districts. Powered by Google Cloud and Google Gen AI , it continuously learns and improves to deliver better user experiences. The company is spearheaded by Mr. Pradeep Gupta who is a leading name in market research and is India’s top psephologist. Job Description The Senior Technical Project Delivery Manager will lead the end-to-end execution of the People Empowerment Platform (Super-App), ensuring timely delivery, technical excellence, and alignment with business goals. This role demands strong project management, cloud-native architecture expertise (GCP), and Agile delivery leadership. The manager will collaborate with cross-functional teams, vendors, and partners to deliver a scalable, secure, and AI-powered platform. Requirements Project & Delivery Management Lead Agile-based project execution across scope, schedule, cost, and quality. Manage CI/CD pipelines, DevOps practices, and performance monitoring. Ensure timely delivery of milestones and risk mitigation. Cloud-Native Architecture & Development Oversee microservices deployment on GCP using Kubernetes (GKE). Optimize AI/ML workflows, data pipelines, and real-time analytics. Ensure secure, scalable, and high-availability architecture. Technology Oversight Manage full-stack delivery: Flutter (frontend), Node.js (backend), GCP services. Ensure seamless integration of tools like BigQuery, Vertex AI, Looker, and Jenkins. Drive observability, automation, and performance optimization. Vendor & Stakeholder Management Collaborate with system integrators, Google Cloud partners, and consultants. Conduct technical due diligence and negotiate SLAs and contracts. Align internal and external teams for smooth execution. Security & Compliance Enforce SSDLC, cloud security, and data privacy standards. Implement disaster recovery and failover strategies. Monitor compliance with GDPR and other regulatory frameworks. Leadership & Process Improvement Mentor technical teams and promote Agile, DevOps, and innovation. Continuously improve delivery processes and cost efficiency. Contribute to strategic planning and platform evolution. Key Attributes Strong leadership and stakeholder management Deep expertise in GCP, microservices, and DevOps Analytical mindset with a focus on performance and scalability High accountability, ownership, and collaborative spirit CI/CD automation, Kubernetes orchestration, and DevOps pipeline optimization. Real-time AI/ML-driven insights using BigQuery, Looker, and Vertex AI. Experience And Qualification Strong understanding of the Industry and familiarity with research products and services. Excellent communication and interpersonal skills, with the ability to build rapport and negotiate effectively with stakeholders at all levels. Strategic thinker with a demonstrated ability to analyze market trends, identify opportunities, and develop targeted strategies to drive growth. Education B.E./B.Tech in Computer Science or IT (MBA preferred) 8+ years in technical project management and cloud-based delivery 5+ years of hands-on development experience Certifications preferred: PMP, SAFe, GCP, ITIL Benefits Competitive salary and benefits package Opportunity to make significant contributions to a dynamic company Walking distance from Chakala metro station, making commuting easy and convenient At Axis My India, we value discipline and focus. Our team members wear brand on sleeves, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9C27B0;border-color:#9C27B0;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

What You’ll Do Works in Data and Analytics to independently design projects to meet business needs Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Solve complex internal or customer analytical problems across various business domains and areas of expertise Ability to talk to impact and strategic importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action; ability to advocate to implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the "so what' out of the analysis being performed. Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals What Experience You Need BS degree in a STEM major or equivalent discipline 5-7 years of experience in a related analyst role Cloud certification strongly preferred Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities What Could Set You Apart Cloud certification such as GCP strongly preferred Self Starter Excellent communicator / Client Facing Ability to work in fast paced environment Flexibility work across A/NZ time zones based on project needs

Industry: Digital Marketing & IT Services Mindtel operates at the intersection of technology consulting and performance marketing, empowering B2B and B2C brands across e-commerce, SaaS, and enterprise segments to unlock measurable growth. We deliver data-driven campaign management, martech implementation, and conversion optimization services from our on-site center of excellence in India. Role & Responsibilities Lead a 6-8 member cross-channel marketing squad, setting quarterly OKRs and weekly sprint goals aligned with client ROI targets. Design and execute full-funnel paid and organic strategies across SEO, SEM, social, display, and email, allocating budgets exceeding INR 2 Cr annually. Audit analytics and attribution setups, building dashboards that surface CAC, ROAS, and LTV metrics for data-backed decision making. Mentor specialists on campaign optimisation, copy testing, and bid automation; run regular training to uplift channel expertise. Collaborate with sales and product teams to craft GTM messaging and ensure consistent brand voice across all touchpoints. Present monthly performance reviews to C-suite stakeholders, highlighting wins, growth experiments, and next-step recommendations. Skills & Qualifications Must-Have 5+ years hands-on digital marketing with at least 2 years in a lead role. Proven success driving ROI through Google Ads, Meta Ads, and LinkedIn Campaign Manager. Expertise in technical SEO, keyword research, and on-page optimisation. Advanced proficiency in Google Analytics 4, Tag Manager, and Looker Studio. Ability to manage multi-crore budgets and deliver data-centric reports. Strong team leadership, mentoring, and stakeholder communication skills. Preferred Experience with marketing automation platforms such as HubSpot or Marketo. Certification in Google Ads or Facebook Blueprint. Exposure to international markets and B2B SaaS growth funnels. Benefits & Culture Highlights On-site innovation lab equipped with state-of-the-art martech stack and sandbox accounts. Merit-based fast-track career progression and sponsored certifications. Collaborative, learning-first environment with regular hackathons and knowledge sessions. Location: On-site, India (Bengaluru Headquarters). Join Mindtel to architect high-impact campaigns, mentor future marketing stars, and shape the growth narrative of global brands. Skills: google analytics,on-page optimisation,digital marketing,mentoring,ppc,marketing automation platforms,email marketing,crm,google ads,stakeholder communication,marketo,data analysis,looker studio,on-page optimization,linkedin campaign manager,content strategy,seo,budget management,tag manager,social media,keyword research,team leadership,technical seo,sem,google analytics 4,meta ads,hubspot

Job Title: Healthcare Analytics Specialist Experience Required - 3 To 5 Years Location-Gurugram(Hybrid) Position Summary The Analytics Specialist is responsible for driving insights & supporting decision-making by analyzing healthcare payer data, creating data pipelines, and managing complex analytics projects. This role involves collaborating with cross-functional teams (Operations, Product, IT, and external partners) to ensure robust data integration, reporting, and advanced analytics capabilities. The ideal candidate will have strong technical skills, payer domain expertise, and the ability to manage 3rd-party data sources effectively. Key Responsibilities Data Integration and ETL Pipelines Develop, maintain, and optimize end-to-end data pipelines, including ingestion, transformation, and loading of internal and external data sources. Collaborate with Operations to design scalable, secure, and high-performing data workflows. Implement best practices in data governance, version control, data security, and documentation. Analytics and Reporting Data Analysis: Analyze CPT-level data to identify trends, patterns, and insights relevant to healthcare services and payer rates. Build and maintain analytical models for cost, quality, and utilization metrics, leveraging tools such as Python, R, or SQL-based BI tools. Develop reports to communicate findings to stakeholders across the organization. 3rd-Party Data Management Ingest and preprocess multiple 3rd party data from multiple sources and transform it into unified structures for analytics and reporting Ensure compliance with transparency requirements and enable downstream analytics. Design automated workflows to update and validate data, working closely with external vendors and technical teams. Establish best practices for data quality checks (e.g., encounter completeness, claim-level validations) and troubleshooting. Quality Assurance and Compliance Ensure data quality by implementing validation checks, audits, and anomaly detection frameworks. Maintain compliance with HIPAA, HITECH, and other relevant healthcare regulations and data privacy requirements. Participate in internal and external audits of data processes. Continuous Improvement & Thought Leadership Stay current with industry trends, analytics tools, and regulatory changes affecting payer analytics. Identify opportunities to enhance existing data processes, adopt new technologies, and promote data-driven culture within the organization. Mentor junior analysts and share best practices in data analytics, reporting, and pipeline development. Required Qualifications Education & Experience Bachelor’s degree in health informatics, Data Science, Computer Science, Statistics, or a related field (master's degree a plus). 3-5+ years of experience in healthcare analytics, payer operations, or related fields. Technical Skills Data Integration & ETL: Proficiency in building data pipelines using tools like SQL, Python, R, or ETL platforms (e.g., Talend, Airflow, or Data Factory). Databases & Cloud: Experience working with relational databases (SQL Server, PostgreSQL) and cloud environments (AWS, Azure, GCP). BI & Visualization: Familiarity with BI tools (Tableau, Power BI, Looker) for dashboard creation and data storytelling. MRF, All Claims, & Definitive Healthcare Data: Hands-on experience (or strong familiarity) with healthcare transparency data sets, claims data ingestion strategies, and provider/facility-level data from 3rd-party sources like Definitive Healthcare. Healthcare Domain Expertise Strong understanding of claims data structures (UB-04, CMS-1500), coding systems (ICD, CPT, HCPCS), and payer processes. Knowledge of healthcare regulations (HIPAA, HITECH, transparency rules) and how they impact data sharing and management. Analytical & Problem-Solving Skills Proven ability to synthesize large datasets, pinpoint issues, and recommend data-driven solutions. Comfort with statistical analysis and predictive modeling using Python or R. Soft Skills Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders. Strong project management and organizational skills, with the ability to handle multiple tasks and meet deadlines. Collaborative mindset and willingness to work cross-functionally to achieve shared objectives. Preferred/Additional Qualifications Advanced degrees (MBA, MPH, MS in Analytics, or similar). Experience with healthcare cost transparency regulations and handling MRF data specifically for compliance. Familiarity with DataOps or DevOps practices to automate and streamline data pipelines. Certification in BI or data engineering (e.g., Microsoft Certified: Azure Data Engineer. Experience establishing data stewardship programs & leading data governance initiatives. Why Join Us? Impactful Work – Play a key role in leveraging payer data to reduce costs, improve quality, and shape population health strategies. Innovation – Collaborate on advanced analytics projects using state-of-the-art tools and platforms. Growth Opportunity – Be part of an expanding analytics team where you can lead initiatives, mentor others, and deepen your healthcare data expertise. Supportive Culture – Work in an environment that values open communication, knowledge sharing, and continuous learning. Powered by JazzHR llxBL5iYmF

Job Title: MIS Executive Location: Yamunanagar, Haryana Experience: 2–5 Years Salary: ₹30,000 – ₹55,000 per month (based on experience and skillset) Joining: Immediate preferred Preferred Candidate: Male candidate preferred About the Role We are seeking a detail-oriented and tech-savvy MIS Executive to join our team in Yamunanagar. The ideal candidate will have hands-on experience in automation, dashboard creation, and advanced spreadsheet management. Proficiency in AI tools and a strong analytical mindset are essential for success in this role. Key Responsibilities Develop, maintain, and optimize dashboards using Excel and Google Sheets Automate repetitive reporting tasks using scripts or AI-based tools Analyze large datasets to generate actionable insights and performance reports Collaborate with cross-functional teams to streamline data flow and reporting processes Ensure data accuracy, consistency, and timely delivery of MIS reports Implement AI tools to enhance reporting efficiency and decision-making Must-Have Skills Advanced proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Macros, etc.) Strong command of Google Sheets and Google Apps Script Experience with AI tools for data analysis or automation (e.g., ChatGPT, Bard, or similar) Knowledge of automation tools (e.g., Zapier, Power Automate, or custom scripting) Ability to design and manage interactive dashboards (e.g., Looker Studio, Power BI preferred) Excellent analytical, problem-solving, and communication skills Qualifications Bachelor’s degree in Computer Science, IT, Statistics, or a related field 2–5 years of relevant experience in MIS/Data Analysis roles What We Offer Competitive salary based on experience Opportunity to work with cutting-edge tools and technologies A collaborative and growth-oriented work environment Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹55,000.00 per month Schedule: Day shift Application Question(s): Your current salary? Are you comfortable with Village damla, Delhi road location in Yamunanagar Haryana? How many years of experience do you have as a core MIS Executive? Do you have experience working with AI Tools? Do you have working experience with Google Sheets, Advance Excel, PowerBI? Are you comfortable with the salary range in b/w 30-55k? Work Location: In person

Job Title: AI Engineer (Contract to Hire) Location: Hybrid (Remote + Onsite in Kolkata Office) Duration : 3-Month Full-Time Contract (Potential to convert to Full-Time Employee) Start Date : 1/08/2025 About the Role: · We are seeking a skilled and motivated AI Engineer for a 3-month full-time contract position, with the opportunity to convert into a permanent role based on performance. · The ideal candidate will have a strong background in machine learning, AI model development, and data engineering , particularly with experience in Google BigQuery and other cloud or traditional databases. · You will be responsible for end-to-end model development — from sourcing and preprocessing data to training, evaluating, and deploying models for real-world applications. Key Responsibilities: · Access and query data from BigQuery and other structured/unstructured databases. · Clean, preprocess, and transform large datasets for modeling and analysis . · Design, develop, and implement AI/ML models to solve business problems. · Collaborate with data engineers, analysts, and business teams to understand data needs and project objectives. · Evaluate model performance using standard metrics and iterate for improvement. · Deploy models into production environments and monitor their effectiveness. · Document workflows, decisions, and maintain code quality with version control tools (e.g., Git) Required Skills & Qualifications: a. Education & Experience: · Bachelor's or Master’s degree in Computer Science & Engineering, Mathematics, Data Science , or a related technical field OR equivalent hands-on industry experience in AI/ML and data engineering . · Candidates without formal degrees but with a strong project portfolio , certifications (e.g., Google Professional ML Engineer, Coursera, edX) or relevant open-source contributions are encouraged to apply. b. Technical Experience: · Proficient in Google BigQuery and other databases (SQL, NoSQL). · Strong programming skills in Python and experience with ML libraries/frameworks like Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy . · Proven experience in developing, training, and deploying AI/ML models . · Familiarity with cloud platforms (Google Cloud Platform, AWS, etc.) and MLOps workflows. · Experience with version control systems like Git. c. Soft Skills: · Strong analytical thinking and problem-solving mindset. · Excellent communication and collaboration skills. · Self-driven and capable of working independently in a hybrid work setup (remote + Kolkata office). Nice to have Skills: · Familiarity with data visualization tools such as Looker, Tableau, or Power BI . · Experience working in hybrid or distributed teams . · Basic understanding of Japanese is a plus Work Arrangement: Hybrid : Primarily remote, with occasional onsite meetings at our Kolkata office. Must be available to work from Kolkata office when required. Contract & Future Opportunity: · Initial Engagement : 3 months contract with full-time (100%) commitment. · Future Opportunity : High potential for conversion to a full-time permanent role, depending on performance and business needs

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

About the Role: We are looking for a seasoned Google Ad Manager (GAM) Specialist to join our Ad Operations & Client Servicing team. The ideal candidate will bring deep expertise in GAM setup, optimization, and troubleshooting to manage, scale, and optimize complex advertising operations. You will work closely with internal teams, clients, and third-party platforms to ensure flawless campaign execution. Key Responsibilities Manage and optimize ad serving through Google Ad Manager , including inventory setup, yield management, and troubleshooting Set up line items, orders, creatives, targeting, and priority levels based on campaign requirements Monitor campaign delivery and performance metrics; proactively identify and resolve issues to ensure pacing and revenue goals are met Collaborate with sales, ops, and product teams to implement and maintain ad solutions Handle programmatic integrations (e.g. SSPs like Magnite, Equativ, etc.) Maintain ad quality and ensure compliance with platform policies and user experience best practices Generate performance and delivery reports; provide insights and recommendations for optimization Lead troubleshooting for discrepancies, delivery issues, or creative malfunctions Requirements 3+ years of hands-on experience wit h Google Ad Manager Strong understanding of ad serving logic, yield groups, targeting, and auction dynamic Experience managin g programmatic deals (PMPs, PG s) and working with SSPs/DSP Familiarity with ad tags, VAST, VPAID, MRAID, and other creative format Solid analytical skills and experience with tools like Google Analytics, Ad Manager reporting, Looker Studio, etc Excellent troubleshooting skills and a detail-oriented approach Ability to work cross-functionally in a fast-paced environment Nice to Have Experience with Video/CTV ad serving Knowledge of privacy regulations (GDPR, CCPA) and consent management tools Previous exposure to data platforms like DMPs, or Ad Servers beyond GAM Familiarity with FAST channels or OTT environment

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

🚀 Why Headout? We're a rocketship: 9-figure revenue, record growth, and profitable With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry, and we're just getting started. We've raised $60M+ from top-tier investors and are building a durable company for the long term — because that's what our mission needs and deserves. We're growing, profitable and nowhere near done. What we do is important In an increasingly digital world, there is a desperate need to augment our human experience by getting us to interact with the real world around us and the people in it. At Headout, our mission is to be the easiest, fastest, and most delightful way to head out to a real-life experience — from immersive tours to museums to live events and everything in between. Why now? The foundation is strong. The opportunity ahead is even bigger. We've hit profitability, built momentum, and proven the model — but there's so much more to build. If you're looking to join a company where the trajectory is steep and your impact is real, this is the moment. Our culture Reinventing the travel industry isn't easy, but that's the fun part. We care deeply about ownership, craft, and impact, and we're here to do the best work of our careers. We won't pretend like it's for everyone but if you're a builder who loves solving tough problems, you'll feel right at home. Read more about our unique values here: https://bit.ly/HeadoutPlaybook 👩‍💻 The Role As an Analytics Engineer at Headout, you will bridge the gap between data engineering and data analysis, creating the foundation for effective data-driven decision making across our organization. At Headout, we firmly believe that well-structured, reliable data is essential for understanding our business and delighting travelers worldwide. Working at the intersection of data infrastructure and business insights, you'll transform raw data into well-defined, documented, and accessible analytical models that empower teams throughout the company. Your technical expertise in data modeling and your understanding of business contexts will be crucial in building a robust analytics ecosystem that drives our global operations and strategic initiatives. 🌟 What makes the role stand out? Data Foundation Builder : Design and implement the core data models that power analytics across the organization. Your work will create a single source of truth that teams rely on for consistent, accurate insights. Technical Craftsmanship : Apply software engineering best practices to analytics development. From version control and testing to documentation and deployment, you'll bring discipline and quality to our data transformation processes. Business Domain Translator : Become fluent in both technical and business languages. You'll translate complex business concepts into clear data structures and metrics definitions that make sense to all stakeholders. Cross-Functional Enabler : Your work will empower diverse teams - from Operations and Marketing to Product and Finance - with the data they need to excel. The models you build will support everything from daily operational decisions to strategic business planning. Analytics Democratizer : Create self-service analytics capabilities that enable teams throughout the organization to answer their own questions without constantly requiring analyst support. Modern Stack Innovator : Work with cutting-edge data technologies to build scalable, efficient data solutions that grow with our business and adapt to changing requirements. 🎯 What skills you need to have You have a minimum of 2+ years of experience in analytics, data engineering, or related roles, with a focus on data modeling and transformation Strong SQL expertise is essential, with the ability to write complex queries and optimize data transformations for both accuracy and performance You possess a strong business acumen that helps you understand the context and importance of the metrics you're defining and modeling Experience with modern data transformation tools and methodologies (dbt, Airflow, Prefect or similar tools) and understanding of data modeling concepts (dimensional modeling, star schemas, etc.) You have a keen eye for data quality and testing methodologies to ensure reliable analytics outputs and are familiar with how to apply software development best practices to analytics code Your communication skills enable you to collaborate effectively with both technical and business stakeholders to translate requirements into well-structured data models Experience with data visualization tools (Looker, Tableau, Power BI) is beneficial for understanding the end-user needs Knowledge of Python or other programming languages is a plus for extending analytics capabilities beyond SQL EEO statement At Headout, we don't just accept differences — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our partners, and the community at large. Headout provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. During the interview process, if you need assistance or an accommodation due to a disability, you may contact the recruiter assigned to your application or email us at life@headout.com. Privacy policy Please note that once you apply for this job profile your personal data will be retained for a period of one (1) year. Headout shall process this data for recruitment purposes only. Once the relevant job profile is filled or once the time period of one (1) year from the date of the job application has passed, whichever is later, Headout shall either delete your data or inform you that it shall keep it in its database for future roles. In compliance with the relevant privacy laws, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.

Designation: Program Manager – Data Experience : 7.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Agile, Program Management, data infrastructure Forbes Advisor is Looking for: Job Description: We’re hiring a Program Manager to orchestrate complex, cross-functional data initiatives—from revenue-pipeline automation to analytics product launches. You’ll be the connective tissue between Data Engineering, Analytics, RevOps, Product, and external partners, ensuring programs land on time, on scope, and with measurable impact. If you excel at turning vision into executable roadmaps, mitigating risk before it bites, and communicating clearly across technical and business audiences, we’d love to meet you. Key Responsibilities: Own program delivery for multi-team data products (e.g., revenue-data pipelines, attribution models, partner-facing reporting APIs). Build and maintain integrated roadmaps, aligning sprint plans, funding, and resource commitments. Drive agile ceremonies (backlog grooming, sprint planning, retrospectives) and track velocity, burn-down, and cycle-time metrics. Create transparent status reporting—risks, dependencies, OKRs—tailored for engineers up to C-suite stakeholders. Proactively remove blockers by coordinating with Platform, IT, Legal/Compliance, and external vendors. Champion process optimisation: intake, prioritisation, change management, and post-mortems. Partner with RevOps and Media teams to ensure program outputs translate into revenue growth and faster decision making. Facilitate launch readiness—QA checklists, enablement materials, go-live runbooks—so new data products land smoothly. Foster a culture of documentation, psychological safety, and continuous improvement within the data organisation. Experience required: 7+ years program or project-management experience in data, analytics, SaaS, or high-growth tech. Proven success delivering complex, multi-stakeholder initiatives on aggressive timelines. Expertise with agile frameworks (Scrum/Kanban) and modern collaboration tools (Jira, Asana, Notion/Confluence, Slack). Strong understanding of data & cloud concepts (pipelines, ETL/ELT, BigQuery, dbt, Airflow/Composer). Excellent written and verbal communication—able to translate between technical teams and business leaders. Risk-management mindset: identify, quantify, and drive mitigation before issues escalate. Experience coordinating across time zones and cultures in a remote-first environment. Nice to Have Formal certification (PMP, PMI-ACP, CSM, SAFe, or equivalent). Familiarity with GCP services, Looker/Tableau, or marketing-data stacks (Google Ads, Meta, GA4). Exposure to revenue operations, performance marketing, or subscription/affiliate business models. Background in change-management or process-improvement methodologies (Lean, Six Sigma). Perks: Monthly long weekends—every third Friday off. Fitness and commute reimbursement. Remote-first culture with flexible hours and a high-trust environment. Opportunity to shape a world-class data platform inside a trusted global brand. Collaborate with talented engineers, analysts, and product leaders who value innovation and impact. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Forbes Advisor: Forbes Advisor is a high-growth digital media and technology company that empowers consumers to make confident decisions about money, health, careers, and everyday life. Our global data organisation builds modern, AI-augmented pipelines that turn information into revenue-driving insight.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role The Business Intelligence analyst will support the ongoing design and development of dashboards, reports, and other analytics studies or needs. To be successful in the role you’ll need to be intellectually curious, detail-oriented, open to new ideas, and possess data skills and a strong aptitude for quantitative methods. The role requires strong SQL skills a wide experience using BI visualization tools like Tableau and PowerBI Your Role Accountabilities With the support of other analysis and technical teams, collect and analyze stakeholders’ requirements. Responsible for developing interactive and user-friendly dashboards and reports, partnering with UI/UX designers. Be experienced in BI tools like powerBi, Tableau, Looker, Microstrategy and Business Object and be capable and eager to learn new and other tools Be able to quickly shape data into reporting and analytics solutions Work with the Data and visualization platform team on reporting tools actualizations, understanding how new features can benefit our stakeholders in the future, and adapting existing dashboards and reports Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more Qualifications & Experiences 2+ years of experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP) Skills in BI tools and BI systems, such as Power BI, SAP BO, Tableau, Looker, Microstrategy, etc., creating data-rich dashboards, implementing Row-level Security (RLS) in Power BI, writing DAX expressions, developing custom BI products with scripting and programming languages such as R, Python, etc. In-depth understanding and experience with BI stacks The ability to drill down on data and visualize it in the best possible way through charts, reports, or dashboards Self-motivated and eager to learn Ability to communicate with business as well as technical teams Strong client management skills Ability to learn and quickly respond to rapidly changing business environment Have an analytical and problem-solving mindset and approach Not Required But Preferred Experience BA/BS or MA/MS in design related field, or equivalent experience (relevant degree subjects include computer science, digital design, graphic design, web design, web technology) Understanding of software development architecture and technical aspects How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

The Data Scientist is expected to play a crucial role in analyzing large-scale datasets, building scalable systems, and providing actionable insights to support business strategy. This role requires a strong foundation in data analytics and hands-on experience with data science and AI technologies. Must-Have Qualifications • 2+ years of experience in data science or data engineering. • 2+ years of experience in SQL and Python for data manipulation, analysis, and modeling. • Experience in working with AI systems for data analysis. • Exposure to Google Cloud Platform (GCP) / AWS / Azure • Proficiency in Git for collaborative development and version control. Preferred (Nice-to-Have) Qualifications • Proficiency in Google Cloud Platform (GCP), specifically BigQuery and Looker/Data Studio. • Experience in working with DBT/Dataform, Cloud Build, GCE, Airflow/Composer. • Experience in building data pipelines using python or cloud tools. • Strong foundation in statistics and predictive modeling techniques. • Experience in working with LLM architectures, RAG pipelines and Agentic AI systems. • Strong problem-solving abilities and experience in designing modular, scalable data architectures. • Strong communication skills, with the ability to present data insights to diverse audiences.

Role & responsibilities Strong SQL proficiency: Expert knowledge of SQL syntax, query optimization techniques, and data manipulation. Snowflake platform expertise: In-depth knowledge of Snowflake features including stored procedures, SnowSQL, Snowpipe, stages, data sharing, governance and security configurations. Data warehousing concepts: Understanding of data warehousing principles, Data Pipelines, ETL working with existing CI/CD pipeline to deploy Security and compliance: Implement data security measures within Snowflake Experience with BI tools like SAP BOBJ and Looker

Job Summary: We are seeking a detail-oriented and proactive MIS executive to join our team. The ideal candidate will have experience in managing and analyzing data, generating reports, and providing insights to support business decision-making. You will be responsible for maintaining and improving our management information systems to ensure data accuracy and efficiency. Key Responsibilities: Develop and manage MIS reports and dashboards, providing accurate and timely data to management and other stakeholders. Analyze complex data sets to identify trends, patterns, and insights that support strategic business decisions. Ensure the accuracy and integrity of data across various systems and databases. Collaborate with different departments to understand their reporting needs and develop customized solutions. Assist in the implementation and maintenance of MIS software and tools. Monitor system performance and troubleshoot issues as needed. Prepare and present reports and presentations to senior management. Stay updated with industry trends and best practices in MIS and data management. Preferred Skills: A Data Management Executive who is good with Excel and Google sheets. He should have knowledge of VLOOKUP, Macros , if possible. Should know Pivot tables. A background in mathematics with help. Proven experience as an MIS Executive or in a similar role. Knowledge of Looker Studio. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹55,000.00 per month Schedule: Day shift Application Question(s): Your current salary? Are you comfortable with Village damla, Delhi road location in Yamunanagar Haryana? Are you comfortable with the salary range in b/w 20-55k? Work Location: In person

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : This position will join the Enterprise Data and AI team that supports all brands in the Warner Bros umbrella including WB films in theatrical and home entertainment, DC studios, Consumer Products, games, etc. The ideal candidate is a subject matter expert in data science with exposure to predictive modeling, forecasting, recommendation engines and data analytics. This person will build data pipelines, apply statistical modeling and machine learning, and deliver meaningful insights about customers, products and business strategy WBD to drive data-based decisions As a Staff Data Scientist, you will play a critical role in advancing data-driven solutions to complex business challenges, influencing data strategy efforts for WBD Businesses. The responsibilities include: Analyze complex, high volumes of data from various sources using various tools and data analytics techniques. Partner with stakeholders to understand business questions and provide answers using the most appropriate mathematical techniques. Model Development and Implementation: Design, develop, and implement statistical models, predictive models and machine learning algorithms that inform strategic decisions across various business units. Exploratory Data Analysis: Utilize exploratory data analysis techniques to identify and investigate new opportunities through innovative analytical and engineering methods. Advanced Analytics Solutions: Collaborate with Product and Business stakeholders to understand business challenges and develop sophisticated analytical solutions. Data Automation: Advance automation initiatives that reduce the time spent on data preparation, enabling more focus on strategic analysis. Innovative Frameworks Construction: Develop and enhance frameworks that improve productivity and are intuitive for adoption across other data teams and be abreast with innovative machine learning techniques (e.g., deep learning, reinforcement learning, ensemble methods) and emerging AI technologies to stay ahead of industry trends. Collaborate with data engineering teams to architect and scale robust, efficient data pipelines capable of handling large, complex datasets, ensuring the smooth and automated flow of data from raw collection to insights generation. Deployment of machine learning models into production environments, collaborating with DevOps and engineering teams to ensure smooth integration and scalability. Quality Assurance: Implement robust systems to detect, alert, and rectify data anomalies. Qualifications & Experiences: Bachelor’s degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline. 8+ years relevant experience in Data Science. Expertise in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, random forests, deep learning etc.) and experience with applications of these techniques. Expertise in advanced statistical techniques and concepts (regressions, statistical tests etc.) and experience with application of these tools. A demonstrated track record of utilizing data science to solve business problems in a professional environment. Expertise in SQL and either Python or R, including experience with application deployment packages like R Streamlit or Shiny. Experience with database technologies such as Databricks, Snowflake, and others. Familiarity with BI tools (Power BI, Looker, Tableau) and experience managing workflows in an Agile environment. Strong analytical and problem-solving abilities. Excellent communication skills to effectively convey complex data-driven insights to stakeholders. High attention to detail and capability to work independently in managing multiple priorities under tight deadlines. Proficiency in big data technologies (e.g., Spark, Kafka, Hive). Experience working in a cloud environment (AWS, Azure, GCP) to facilitate data solutions. Ability to collaborate effectively with business partners and develop and maintain productive professional relationships. Experience with adhering to established data management practices and standards. Ability to communicate to all levels of business, prioritize and manage assignments to meet deadlines and establish strong relationships. Interest in movies, games, and comics is a plus. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.