10,324 E Commerce Analyst jobs in India
E-Commerce Analyst
Posted 2 days ago
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Location: NSP, Delhi
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About Ruhe
Founded in 2020 by Kapil Gupta, Ruhe is India's largest digital brand in the kitchen and bathroom fittings industry. With over 1,800 SKUs, all proudly 100% Made-in-India, Ruhe delivers exceptional customer convenience and trust through its user-friendly website. What sets Ruhe apart? A 30-day return policy, warranties up to 10 years, and dedicated customer support.
Job Summary:
We are seeking an experienced and results-driven Sr.E-Commerce Executive to oversee and optimize our online marketplace operations across Amazon and Flipkart. The ideal candidate will have a deep understanding of e-commerce platforms, product listings, inventory management, pricing strategies, and performance marketing. The role involves driving sales growth, optimizing product visibility, managing vendor relationships, and improving customer experience.
Key Responsibilities:
1. Platform Expertise:
- Manage and optimize product listings, inventory, and orders on Amazon Seller Central and Flipkart Seller Hub.
- Ensure compliance with marketplace guidelines, policies, and terms of service.
- Optimize product listings using effective keywords, titles, descriptions, images, and A+ content.
2. Product Listing & Catalog Management:
- Conduct keyword research and optimize product listings (titles, bullet points, images, descriptions) for better search rankings.
- Maintain balanced inventory levels across marketplaces to prevent stockouts or overstocking.
- Implement pricing strategies based on competitive analysis and dynamic pricing tools.
3. Performance Marketing & Advertising (Good to Have):
- Plan and manage Amazon Sponsored Products (PPC) campaigns, Flipkart Ads, and other performance-based advertising.
- Develop and execute ad campaigns to drive traffic, improve conversion rates, and increase revenue.
- Analyze campaign performance using a data-driven approach to optimize budgets and bids.
4. Sales Growth & Strategy Development:
- Utilize growth hacking techniques to improve search rankings and increase brand visibility.
- Plan and execute promotional campaigns, including flash sales, festive discounts, and lightning deals.
- Implement customer acquisition and retention strategies to enhance brand loyalty and boost sales.
5. Analytics & Reporting:
- Utilize Amazon Seller Central reports, Flipkart analytics, and third-party tools for data analysis.
- Track key performance indicators (KPIs) such as sales, ROI, conversion rates, and customer satisfaction scores.
- Conduct A/B testing on product listings, ads, and promotions to optimize performance.
6. Vendor/Partner Management:
- Maintain strong relationships with vendors, suppliers, and internal teams for product fulfillment and quality assurance.
- Liaise with Amazon and Flipkart support teams to resolve complaints, address policy violations, and manage marketplace-specific issues.
7. Customer Experience & Service:
- Monitor and manage customer reviews and feedback, responding promptly to queries and complaints.
8. Technical Proficiency:
- Leverage listing automation tools such as Feed Optimizer, Helium10, or SellerApp.
- Apply SEO best practices to enhance product discoverability and rankings on marketplaces.
9. Market Knowledge & Trends:
- Stay updated with the Indian e-commerce market trends, including consumer behavior and regional preferences.
- Plan and execute strategies for festive and seasonal campaigns like Diwali, Black Friday, Prime Day, and Big Billion Days.
10. Leadership & Team Collaboration:
- Manage and collaborate with cross-functional teams such as logistics, marketing, and product development.
- Coordinate with external vendors, shipping partners, and third-party service providers.
11. Certifications (Preferred):
- Certifications in Amazon or Flipkart marketplace management, e-commerce strategies, or digital marketing are a plus.
12. Soft Skills:
- Strong problem-solving skills to address platform-related challenges.
- Ability to adapt quickly to evolving e-commerce trends.
- Excellent written and verbal communication skills for coordinating with customers, teams, and vendors.
Qualifications & Requirements:
- Bachelor's degree in Business, Marketing, E-Commerce, or a related field.
- Hands-on experience with e-commerce analytics tools, advertising platforms, and automation tools.
- Strong analytical mindset with data interpretation skills to drive decision-making.
- Proficiency in MS Excel, Google Sheets, and reporting dashboards.
Why Join Ruhe?
At Ruhe, we believe in innovation, growth, and empowering our team to deliver exceptional results. If you're passionate about e-commerce and looking to make a significant impact, we'd love to hear from you
Job Type: Full-time
Pay: ₹40, ₹70,000.00 per month
Work Location: In person
E-Commerce Analyst
Posted today
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We are seeking a passionate and driven E-Commerce Analyst with 2-3 years of experience in e-commerce operations and analytics. This is an exciting opportunity to work with a dedicated team and contribute to the growth companys online presence.
Key Responsibilities:
Data Analysis: Monitor and analyse e-commerce performance metrics, such as traffic, conversion rates, and sales data, to identify trends and opportunities.
Inventory Management: Manage product listings, stock levels, and ensure alignment between online platforms and internal inventory systems.
Campaign Optimization: Collaborate with marketing teams to improve the effectiveness of promotional campaigns, ensuring optimal ROI.
Customer Insights: Study consumer behaviour, feedback, and preferences to inform strategy and enhance the overall customer experience.
Reporting: Create detailed reports on KPIs and provide actionable insights to improve business operations.
Platform Management: Oversee and maintain Tribalvedas online store and marketplace channels, ensuring they are functioning smoothly.
Required Qualifications:
Bachelors degree in Business Administration, Marketing, Data Analytics, or related field.
Proven work experience of 2-3 years in an e-commerce role.
Proficiency in tools like Excel, Google Analytics, and e-commerce platforms (Shopify, Magento, or similar).
Strong analytical skills with a solution-oriented mindset.
Ability to work collaboratively in a fast-paced environment.
Preferred Skills: Experience in content creation or SEO optimization.
Familiarity with social media advertising and PPC campaigns.
E-commerce Analyst
Posted today
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Job Description
Perform daily account management on our Amazon advertising accounts Prepare, execute, scale, and optimize amazon advertising campaigns.
Prepare and present performance reviews to the clients .
Required Candidate profile
Good understanding of ppc campaigns, strategies, planning, reporting.
Experience with e-commerce, retail, advertising, or media would be an advantage .
Data Analysis
Posted today
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Job Description
We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.
Technical Requirements:
Strong proficiency in Python for data processing and automation.
Handson experience with generative AI models and their integration into data workflows.
Handson experience with prompt engineering and LLM models (Opensource and Closesource)
Handson experience with Application development framework like LangChain, LangGraph etc.
Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.
Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
As a Data Analysis & Simulation Professional, the person will be responsible for:
Data Pipeline Development:
Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.
Generative AI Integration:
Collaborate with data scientists to integrate generative AI models into the log analysis workflow.
Develop APIs and services to deploy AI models for real-time log analysis and insights generation.
Data Monitoring and Maintenance:
Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.
Troubleshoot and resolve issues related to data ingestion, processing, and storage.
Collaboration and Documentation:
Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.
Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.
Evaluation and Testing:
Conduct thorough testing and validation of generative models.
Research and Innovation:
Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.
Experiment with different architectures and approaches.
Snowflake Utilization: (Good to have)
Design and optimize data storage and retrieval strategies using Snowflake.
Implement data modeling, partitioning, and indexing strategies to enhance query performance.
Data Analysis
Posted today
Job Viewed
Job Description
We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.
Technical Requirements:
Strong proficiency in Python for data processing and automation.
Handson experience with generative AI models and their integration into data workflows.
Handson experience with prompt engineering and LLM models (Opensource and Closesource)
Handson experience with Application development framework like LangChain, LangGraph etc.
Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.
Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
As a Data Analysis & Simulation Professional, the person will be responsible for:
Data Pipeline Development:
Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.
Generative AI Integration:
Collaborate with data scientists to integrate generative AI models into the log analysis workflow.
Develop APIs and services to deploy AI models for real-time log analysis and insights generation.
Data Monitoring and Maintenance:
Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.
Troubleshoot and resolve issues related to data ingestion, processing, and storage.
Collaboration and Documentation:
Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.
Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.
Evaluation and Testing:
Conduct thorough testing and validation of generative models.
Research and Innovation:
Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.
Experiment with different architectures and approaches.
Snowflake Utilization: (Good to have)
Design and optimize data storage and retrieval strategies using Snowflake.
Implement data modeling, partitioning, and indexing strategies to enhance query performance.
Data Analysis
Posted today
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Job Description
Job Description:
We are looking for a skilled HR manager to oversee all aspects of Human Resources practices and processes. You will support business needs and ensure the proper implementation of company strategy and objectives. The goal is to promote corporate values and enable business success through human resources management, including job design, recruitment, performance management, training & development, employment cycle changes, talent management, and facilities management services.
Responsibilities:
- Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
- Maintains the work structure by updating job requirements and job descriptions for all positions.
- Supports organization staff by establishing and interviewing program; counselling managers on candidate selection; conducting and analyzing exit interviews; and recommending changes.
- Prepares employees for assignments by establishing and conducting orientation and training programs.
- Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
- Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
- Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
- Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.
Data Analysis
Posted today
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Position Overview
The UAT Analyst will be responsible for ensuring claim opportunities are maximized in the Out of Network Department through monitoring of inventory, routing of claims and ensuring quality measures are applied for best outcomes. The responsibilities are inclusive of monitoring claim volume and turnaround time, reviewing claim routing decisions made by associates, and identifying claim savings opportunities. All responsibilities encompassed include execution within both the Zelis Claim Management System and/or the Zelis Compass system. This role will also be part of the Out of Network ART Scrum Team and will be responsible for the end-to-end user acceptance testing of the new and enhanced features/services envisioned for planned releases.Professional Experience:
Education:
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