1494 Job openings found

  Digital Analytics Career Level: Analyst / SR ANALYST                              Role: DTM & ADOBE Tag Management Overall purpose: This role focusses on ensuring tag correctness, DTM management and Adobe implementation accuracy for multiple websites Detailed responsibilities: Lead tag management for international client Drive implementation of tags using Adobe Analytics DTM Ensure quality assurance of all work product by ...

JOB DESCRIPTION: DATA ANALYST (Market Research / Lead Generation)  Industry: (Frozen Food Manufacturing Company) Location: Ambala, Haryana Experience: 2–5 years (Market research / data analytics / lead generation) Industry Preference: FMCG, Frozen Foods, Packaged Foods, Food Processing Role Objective:- To research, collect, and analyze market data for frozen food companies, distributors, dealers, and potential clients. The ...

A Marketing Executive plans, develops, and executes strategies to promote a company's products/services, involving market research, campaign management (digital, social, events), content creation, data analysis, budget oversight, and performance tracking to boost brand visibility and sales, requiring strong communication, analytical, and digital marketing skills.    Key Responsibilities Strategy & Planning: Develop and implement creative marketing ...

Job Title: Data Analyst Location: Mumbai Experience: 5-7 years We are seeking a highly skilled Data Analyst for Digital Marketing to join our dynamic team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help us make informed marketing decisions. You will work closely with the ...

Role Overview The Sales Strategy & Product Analyst will be responsible for product planning, market intelligence, pricing strategy, GTM launch execution, inventory management, and sales systems enablement for real estate projects. The role requires strong analytical thinking, excellent coordination skills, and the ability to operate in fast-paced launch-driven environments. Work Allocation Product Strategy ...

The position will be responsible for managing a team of 6-8 data analysts delivering descriptive and diagnosticanalyses across product lines and functions. A big part of the role is the timely and accurate production ofinsights and automation of recurring requests in collaboration with the relevant stakeholders. Provide insights, perform trend and ...

Role OverviewThe Head of Marketing will be responsible for leading the end-to-end marketing functionacross all business verticals – Retail Stores, Apple Authorised Service Centres, B2BEnterprise, and Education. The role is central to shaping brand perception, enhancingcustomer engagement, driving footfalls, generating quality leads, and ensuring a consistentand premium brand experience across ...

About the Role We are seeking a results-driven Marketing Executive to plan, execute, and optimize digital advertising campaigns across multiple platforms. The ideal candidate will be responsible for managing a portfolio worth ₹500K, ensuring maximum ROI, brand consistency, and performance-driven outcomes. This role demands analytical thinking, creativity, and a deep understanding of ...

Key Roles & Responsibilities:-  Develop and execute comprehensive SEO strategies tailored for the healthcare insurance industry, driving high-quality organic traffic and leads to Niva Bupa’s digital platforms. Conduct in-depth keyword research focusing on health insurance, wellness, and related customer intent to identify content opportunities. Optimize website architecture, meta tags, landing pages, and on-page ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA