4 Clv Jobs

The Marketing Analytics Manager for the MIS function will be responsible for gathering, analyzing, and interpreting marketing performance data to generate insights that drive business growth. You will develop and maintain dashboards, manage marketing databases, and collaborate with cross-functional teams to optimize marketing performance. This role requires expertise in data analytics, reporting, marketing metrics, and MIS tools, with a focus on aligning data insights with marketing goals. You will be responsible for data collection and management, including gathering marketing data from various sources like Google Analytics, CRM systems, social media platforms, email marketing tools, and paid media platforms. Ensuring data integrity and consistency across multiple marketing channels and systems will be a key aspect of your role. Additionally, you will maintain and update a centralized marketing database to provide a single source of truth for marketing performance metrics. You will develop and maintain automated dashboards using tools like Tableau, Power BI, Google Data Studio, or Excel to ensure real-time access to key marketing metrics such as traffic, conversions, ROI, and CAC. Creating reports on marketing performance at different intervals and providing insights into campaign effectiveness, channel performance, and customer behavior will also be part of your responsibilities. You will present data reports and insights to executive leadership, marketing teams, and other stakeholders to inform strategic decisions. Analyzing marketing campaign performance across multiple channels to determine the effectiveness of various tactics and channels will be essential. You will provide insights on key performance metrics like ROMI, CAC, CLV, and lead-to-sales conversion rates and identify trends, patterns, and correlations in the data to uncover actionable insights and optimize marketing strategies. Using historical data and trends, you will support forecasting of marketing performance and budget allocation for future campaigns. Evaluating the impact of marketing spend and resource allocation across different channels to optimize budget efficiency will also be part of your role. You will set up and manage campaign tracking systems to monitor the performance of all marketing initiatives and provide recommendations to improve campaign performance. Collaborating with IT and MIS teams to ensure seamless integration of marketing data into the broader company data infrastructure and working closely with marketing teams to ensure data insights align with campaign objectives will be crucial. Establishing data governance policies and developing best practices for data collection, reporting, and usage across the marketing organization will also be part of your responsibilities. Required Skills and Experience: - 5+ years of experience in marketing analytics, data analysis, or business intelligence with a focus on marketing performance. - Strong proficiency in data visualization and reporting tools like Tableau, Power BI, Google Data Studio, and advanced Excel skills. - Expertise in Google Analytics, Google Tag Manager, and other web analytics platforms. - Familiarity with CRM systems (HubSpot, Salesforce) and email marketing platforms for data extraction and analysis. - Strong understanding of marketing KPIs such as CAC, CLV, ROMI, conversion rates, and other key marketing metrics. - Hands-on experience with attribution models, data segmentation, and campaign tracking. - Excellent communication skills, with the ability to present complex data in a clear and actionable manner. - Experience with SQL, Python, or R for data extraction and analysis is a plus.,

Roles and Responsibilities: - Develop and execute comprehensive performance marketing strategies for customer acquisition and conversion. - Conduct market research, competitor analysis, and customer segmentation to optimize campaign targeting Collaborate with cross-functional teams for creating compelling marketing assets. - Manage and optimize campaigns, including budget allocation, bid management, and landing page optimization. - Analyze key metrics (CPA, ROAS, CLV) for data-driven decision-making. - Utilize marketing tools (e.g., Google Ads, Facebook Ads Manager, Google Analytics) for monitoring and insights. - Prepare and present performance reports to senior management.- Stay updated on industry trends and lead a team of specialists, fostering collaboration and professional development. - Drive campaigns within allocated budgets, ensuring positive ROI. - Develop and implement strategies aligned with business goals, leveraging data-driven insights for optimization.Mode: Work from Office (11-8pm)

We're Hiring: Data Scientist Databricks & ML Deployment Expert Location: Mumbai/Pune Experience: 38 Years Apply Now! Are you passionate about deploying real-world machine learning solutions? We're looking for a versatile Data Scientist with deep expertise in Databricks, PySpark , and end-to-end ML deployment to drive impactful projects in the Retail and Automotive domains. What Youll Do Develop scalable ML models (Regression, Classification, Clustering) Deliver advanced use cases like CLV modeling , Predictive Maintenance , and Time Series Forecasting Design and automate ML workflows on Databricks using PySpark Build and deploy APIs to serve ML models (Flask, FastAPI, Django) Own model deployment and monitoring in production environments Work closely with Data Engineering and DevOps teams for CI/CD integration Optimize pipelines and model performance (code & infrastructure level) Must-Have Skills Strong hands-on with Databricks and PySpark Proven track record in ML model development & deployment (min. 2 production deployments) Solid grasp of Regression, Classification, Clustering & Time Series Proficiency in SQL , workflow automation, and ELT/ETL processes API development (Flask, FastAPI, Django) CI/CD, deployment automation, and ML pipeline optimization Familiarity with Medallion Architecture Domain Expertise Retail : CLV, Pricing, Demand Forecasting Automotive : Predictive Maintenance, Time Series Nice to Have MLflow, Docker, Kubernetes Cloud: Azure, AWS, or GCP If you're excited to build production-ready ML systems that create real business impact, we want to hear from you! Apply Now to chaity.mukherjee@celebaltech.com.

Roles and Responsibilities: - Develop and execute comprehensive performance marketing strategies for customer acquisition and conversion. - Conduct market research, competitor analysis, and customer segmentation to optimize campaign targeting. - Collaborate with cross-functional teams for creating compelling marketing assets. - Manage and optimize campaigns, including budget allocation, bid management, and landing page optimization. - Analyze key metrics (CPA, ROAS, CLV) for data-driven decision-making. - Utilize marketing tools (e.g., Google Ads, Facebook Ads Manager, Google Analytics) for monitoring and insights. - Prepare and present performance reports to senior management. - Stay updated on industry trends and lead a team of specialists, fostering collaboration and professional development. - Drive campaigns within allocated budgets, ensuring positive ROI. - Develop and implement strategies aligned with business goals, leveraging data-driven insights for optimization.