Marketing jobs Gurgaon

This role requires a Sports Marketing professional who is passionate about the footwear industry The ideal candidate should be versed in creating and executing marketing strategies that amplify the brand's presence and engage consumers.

The Product Marketing Manager will lead the go-to-market strategy, aligning product positioning and messaging.

The Director Marketing will lead strategic marketing initiatives within the FMCG sector, focusing on brand development, market expansion, and consumer engagement.

This is a pure B2B marketing role wherein the candidate will get a chance to work on various aspects of B2B Marketing. It will involve creating content, finding insights from website and social media analytics and work on aspects of digital marketing for the organisation.

Performance Marketing Manager will manage digital paid advertising across channels (Google, Meta, affiliates, native, social). The role focuses on campaign-specific results, driving acquisition while maintaining COA. Requires expertise in paid media, analytics, audience targeting, stakeholder & partner management to deliver strong lead generation and sales growth.

This is a performance marketing role responsible for planning and analyzing ROI-driven digital campaigns across online platforms to drive footfall and sales. The candidate will manage agencies, track ROAS, and work closely with e-commerce and analytics teams to optimize performance.

You will be responsible for driving full-funnel growth across digital and offline channels, optimising conversion rates, and crafting innovative marketing strategies that align with our business goals.

As the Creative Director, you will lead and review the work of the creative teams for all web, print, and digital marketing collateral.

The AGM/GM - Merchandising is responsible for developing and executing the merchandising strategy that maximizes sales, profitability, and customer satisfaction. This leadership role involves close collaboration with buying, planning, marketing, product, and retail operations teams to ensure a cohesive and data-driven approach to product assortment, pricing, and inventory management.

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

"Looking for a Chief Revenue Officer to spearhead the growth strategy, leading sales, marketing, and customer success to drive consistent revenue acceleration. This is a high-impact leadership role for someone who thrives on building scalable systems, unlocking new markets and delivering results"

• 3-5 Years' experience in Salesforce Marketing Cloud Account Engagement (Pardot) implementations
• Understand end-to-end marketing processes including campaign creation (email/web/social), lead generation, lead scoring, qualification, distribution, and conversion, including closed loop reporting, by demonstrating CRM technologies and data.
• Understands APIs available in MCAE/Pardot to develop integration solutions, when necessary