17,237 E Commerce Analytics jobs in India

• Design, develop, and deploy advanced analytical models to address key business challenges in areas such as customer segmentation, churn prediction, recommendation systems, and fraud detection.
• Perform exploratory data analysis (EDA) on large datasets to identify trends, patterns, and opportunities for improvement.
• Collaborate with product managers and engineers to define data requirements and implement data-driven features.
• Build and maintain robust data pipelines and ETL processes.
• Develop and implement A/B testing frameworks to measure the impact of new features and initiatives.
• Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders.
• Create dashboards and reports to monitor key business metrics and performance indicators.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Ensure data quality, integrity, and security across all analytical processes.
• Communicate technical findings effectively through presentations and written reports.
• Contribute to the development of data governance policies and best practices.
• Identify and champion new analytical approaches and technologies.
• Work closely with business units to understand their needs and provide data-driven solutions.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 5-7 years of professional experience in data science, with a strong focus on e-commerce or online retail analytics.
• Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL for data extraction and manipulation.
• Deep understanding of statistical modeling, machine learning algorithms, and experimental design (A/B testing).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
• Strong communication and interpersonal skills, with the ability to explain complex concepts to diverse audiences.
• Proven ability to work independently and collaboratively in a hybrid work environment.
• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
• Demonstrated ability to manage projects and deliver insights that drive business impact.
• Domain knowledge in e-commerce, customer behavior, and online marketing is highly desirable.

• Designing and implementing machine learning models for customer segmentation, recommendation engines, and predictive analytics.
• Analyzing large datasets to identify trends, patterns, and key business drivers.
• Developing A/B testing strategies and analyzing experiment results.
• Creating compelling data visualizations and dashboards to communicate insights.
• Collaborating with cross-functional teams to define analytical requirements and deliver data-driven solutions.
• Staying current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentoring junior data scientists and contributing to the team's knowledge base.
• Ensuring data quality and integrity throughout analytical processes.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 6 years of experience in data science or a related analytical role.
• Expertise in Python or R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL and experience with large-scale data warehousing.
• Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Excellent communication, presentation, and data storytelling skills.
• Experience in the retail or e-commerce industry is highly desirable.

• Lead and mentor a team of data scientists, fostering a collaborative and high-performing environment.
• Design, develop, and deploy sophisticated machine learning models for predictive analytics, customer segmentation, recommendation engines, and anomaly detection.
• Extract, clean, and transform large, complex datasets from various sources to prepare them for analysis.
• Develop and implement A/B testing frameworks to evaluate new features and strategies.
• Communicate complex findings and recommendations clearly and effectively to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Collaborate closely with product managers, engineers, and business leaders to identify key business challenges and opportunities addressable through data science.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and champion their adoption where appropriate.
• Ensure data quality, integrity, and security across all data science projects.
• Contribute to the development of data infrastructure and tooling to support scalable data science initiatives.
• Develop and maintain documentation for models, methodologies, and processes.

• PhD or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 7+ years of experience in data science, with at least 2 years in a leadership or mentoring role.
• Expertise in programming languages such as Python or R, and proficiency with data manipulation libraries (e.g., Pandas, NumPy).
• Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their practical application.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong problem-solving abilities and a results-oriented mindset.
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• Experience in e-commerce or online retail analytics is highly desirable.
• Demonstrated ability to work independently and as part of a remote team.

• Develop and implement advanced analytical models to understand customer behavior, predict purchasing patterns, and identify opportunities for growth.
• Design and execute A/B tests and other experiments to measure the impact of website changes, marketing campaigns, and product strategies.
• Build and maintain dashboards and reports to track key performance indicators (KPIs) related to e-commerce sales, customer engagement, and marketing effectiveness.
• Collaborate with engineering teams to ensure data quality and the implementation of data-driven features on the e-commerce platform.
• Identify trends and anomalies in sales data, website traffic, and customer feedback, providing proactive solutions.
• Develop predictive models for customer churn, lifetime value, and propensity to buy.
• Present complex analytical findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
• Stay current with the latest advancements in data science, machine learning, and big data technologies relevant to the e-commerce and FMCG sectors.
• Mentor junior data scientists and contribute to the overall data science strategy of the organization.
• Ensure data privacy and security protocols are adhered to in all analytical processes.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience in data science or advanced analytics, with a significant focus on e-commerce or retail data.
• Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of SQL and experience working with large databases.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Demonstrated experience in building and deploying machine learning models in a production environment.
• Excellent understanding of statistical concepts and hypothesis testing.
• Strong communication and presentation skills, with the ability to explain technical concepts to a business audience.
• Experience working with cloud platforms (AWS, Azure, GCP) is a plus.
• Familiarity with FMCG market dynamics and consumer trends is highly desirable.

• Develop and implement advanced statistical models and machine learning algorithms for e-commerce data.
• Analyze large datasets to identify key drivers of online sales, customer engagement, and retention.
• Build predictive models for customer lifetime value, churn prediction, and personalized recommendations.
• Design and analyze A/B tests to optimize website performance and marketing campaigns.
• Create compelling data visualizations and dashboards to communicate insights to stakeholders.
• Collaborate with engineering teams to ensure data quality and facilitate model deployment.
• Mentor junior data scientists and contribute to the growth of the data science practice.
• Stay updated with the latest trends and techniques in data science and machine learning.
• Translate business requirements into analytical frameworks and research questions.
• Present findings and recommendations to senior leadership, influencing business strategy.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a focus on e-commerce or consumer behavior analytics.
• Proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL for data extraction and manipulation.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to develop and deploy machine learning models in production environments.
• Excellent understanding of statistical concepts, experimental design, and hypothesis testing.
• Strong problem-solving skills and ability to work independently in a remote setting.
• Exceptional communication and presentation skills, with the ability to explain complex findings clearly.
• Experience with e-commerce platforms and associated data is highly desirable.

• Assist in the development and implementation of machine learning models for e-commerce applications.
• Analyze large datasets to identify customer behavior patterns and market trends.
• Perform data cleaning, preprocessing, and feature engineering.
• Collaborate with senior data scientists on model selection, training, and validation.
• Develop dashboards and reports to visualize key performance indicators and insights.
• Contribute to A/B testing design and analysis for website and marketing optimizations.
• Assist in the deployment and monitoring of predictive models.
• Support business teams in understanding data insights and making data-driven decisions.
• Stay updated with the latest advancements in data science and machine learning techniques.
• Participate in code reviews and contribute to best practices in data science workflows.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 0-3 years of experience in data science or a related analytical role (internships count).
• Proficiency in Python or R for data analysis and modeling.
• Strong understanding of machine learning algorithms and statistical concepts.
• Experience with SQL for database querying.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib).
• Excellent analytical and problem-solving skills.
• Strong communication skills for conveying technical concepts to non-technical audiences.
• Ability to work effectively in a remote, collaborative team environment.

Designation : Digital Marketing, Community & SEO Lead

Notice Period - Immediately

Mode - Work from Office

Salary - Best in the Industry

About Company:

Neolacta Lifesciences is a pioneering biotechnology company improving infant health through

both human milk–derived products and other innovative therapies

Shape the digital face of an infant health-focused brand that blends awareness, credibility, and

community engagement in equal measure and across multiple platforms

Why us?

Three reasons

1. The first and only of its kind company in India and Asia and one of only three in

the world

2. A multi-faceted role

3. High degree of autonomy in decision making and execution

Role Overview

• Lead organic growth, community building, and SEO visibility across LinkedIn, Pinterest, and Indian-first apps (ShareChat, Moj, Josh, Koo)
• Target audience: Neonatologists, parents, Lactation Consultants,
• Blend thinking with hands-on execution managing communities and optimizing web presence

Key Responsibilities

Community & Content Growth

• Build and manage active online communities across multiple platforms
• Partnership with existing parenting communities: Work with BabyChakra, Momspresso, The Baby Destination, and regional Facebook groups for cross-posting donation stories. Manage tie-ups for guest blogs, reels etc
• Develop organic, content-led strategies posts, videos, carousels, regional content
• Engage directly with HCPs, influencers, and niche audiences to enhance credibility

Website Management & SEO

• Oversee website content updates for accuracy and SEO alignment
• Collaborate with developers and designers for UX and content improvements

Analytics & Insights

• Measure digital performance across social and web platforms
• Use analytics tools to refine content, community, and SEO strategies

Must-Have Skills

• Experience in organic marketing, community management, SEO and in email or Whatsapp campaigns
• Prior experience in either B2B or B2C
• Hands-on use of LinkedIn, Pinterest, and Indian-first platforms (ShareChat, Moj etc)
• Familiarity with WordPress, Google Analytics, and SEO tools
• Strong ability to create engaging, multi-format content
• Analytical and creative approach to digital engagement

Donts This Role is NOT For

• Marketers focused only on paid ads or short-term results
• Candidates limited to FB/Instagram
• Individuals who have managed agencies rather than individual tasks

Location: "Remote"

Job Type: Full-time

Salary:

• Base Salary: ₹1.8 Lakhs per annum for first year with probation of 6 months.
• After successful first year completion and based on performance ₹.4 Lakhs per annum.
• Performance-based bonus on deal closures.

About Us:

InnoCloud is an EduTech AI provider. If you are passionate about technology and thrive in a fast-paced environment, we would love to hear from you. Join us in shaping the future of our innovative projects in Education and making a meaningful impact in the industry.

Job Description:

We are seeking a versatile and experienced Digital Marketing & Sales Engineer to join our team. The ideal candidate will have a proven track record in both digital marketing, & sales, particularly with educational institutions, and hands-on experience with Canva, CRM tools. The candidate should be able to close deals with prospects and execute effective marketing campaigns to drive lead generation and brand awareness.

The executive will be responsible for generating leads, creating and executing marketing campaigns, managing social media presence, distributing marketing materials, and delivering product demos to potential clients. The role will also involve reporting on daily sales and marketing activities and meeting set targets for closed deals.

Key Responsibilities:

Marketing Responsibilities:

• Content Creation: Produce engaging content such as blog posts, infographics, videos, and case studies to drive brand awareness and attract target audiences.
• Social Media Marketing: Manage the company's presence across , Twitter, Facebook, YouTube, Instagram, and other platforms to build engagement and promote services.
• Online Marketing: Plan and execute digital marketing strategies, including email campaigns, paid ads (Google, Facebook, ), and SEO optimization to drive website traffic and conversions.
• Campaign Creation: Develop and implement comprehensive marketing campaigns tailored to the educational sector to generate qualified leads using Email campaign, Whatsapp campaign, SMS campaign & Cold calling using CRM Tools.
• Distribute Marketing Materials: Develop and distribute brochures, emails, newsletters, and other marketing materials to target educational institutions.
• Track marketing performance and generate reports that measure the success of campaigns, engagement metrics, and lead generation.
• Collaborate with the leadership team to ensure alignment between marketing efforts and sales strategy.

Sales Responsibilities:

• Identify, approach, and engage with educational institutions to promote and sell our software services.
• Use CRM tools to manage leads, track interactions, and report daily on sales activities.
• Deliver product demonstrations (both online and in-person) to potential clients, effectively conveying the value of our software.
• Work closely with the marketing and product teams to ensure alignment on product offerings and sales strategy.
• Meet and exceed set targets for deal closures on a monthly, quarterly, half-yearly, and annual basis.
• Provide daily, weekly, monthly & quarterly sales reports to the management team.

QA Responsibilities:

• Manual Testing: Regularly do the manual testing of the web applications and mobile applications.
• Automation Testing: Manage and groom the automation tests on API tests, performance tests, UI tests, mobile app tests using Karate framework.
• Development: Given an opportunity, should have the curiosity and ability to self-learn & upskill as a software engineer in these technologies ReactJS, Java, Terraform, AWS etc.

Requirements:

• Minimum of 1-3 years of demonstrable experience in both digital marketing & sales, particularly within the educational sector.
• Proficiency in using CRM tools for managing sales pipelines and reporting.
• Strong understanding of content creation, social media management, and online marketing strategies.
• Demonstrable knowledge in developing and executing marketing campaigns.
• Excellent communication and presentation skills with the ability to effectively demo software services.
• Proven ability to close deals and meet sales targets.
• Strong knowledge of social media platforms (, Twitter, Facebook, YouTube, Instagram) and online marketing tools.
• Self-motivated, results-driven, and able to work independently.
• Ability to quickly understand and communicate complex software solutions.
• Willingness to travel(if required) for in-person demonstrations and meetings.

Compensation & Benefits:

• Base Salary: 8 Lakhs per annum.
• Probation Period: 6 months 
• After successful first year completion and based on performance ₹ Lakhs per annum.
• Performance Bonus: Based on deal closures and marketing performance.
• Opportunities for growth within the company based on performance.

Targets:

• Must meet a minimum number of closed deals on a monthly, quarterly, half-yearly, and annual basis.
• Must meet marketing KPIs for campaign success, lead generation, and brand engagement.

How to Apply:

Please send your updated resume and a cover letter detailing your experience in digital marketing & sales, especially within the education sector, and your experience with CRM tools to