E- commerce Data Analyst

1. Quality Control & Inspection

• Monitor incoming raw materials (yarn, fabric, accessories) for defects and compliance.
• Conduct in-process inspections during knitting, stitching, and finishing stages.
• Perform final inspection of bags (dimensions, strength, appearance, stitching quality).
• Use tools like AQL (Acceptable Quality Level) for sampling and inspection.

2. Process Monitoring & Improvement

• Analyze production processes to identify quality issues or inefficiencies.
• Implement corrective and preventive actions (CAPA).
• Work on reducing defects, rework, and waste.
• Apply methodologies like Six Sigma or Lean Manufacturing.

3. Testing & Compliance

• Ensure bags meet strength, durability, and load-bearing requirements.
• Conduct tests like tensile strength, seam strength, color fastness, etc.
• Ensure compliance with customer specifications and industry standards.

4. Documentation & Reporting

• Maintain quality reports, inspection records, and test results.
• Track defect trends and prepare reports for management.
• Develop and update standard operating procedures (SOPs).

5. Supplier Quality Management

• Evaluate and audit suppliers of yarn, fabrics, and accessories.
• Ensure incoming materials meet quality standards.
• Coordinate with suppliers for quality improvements.

6. Customer & Audit Handling

• Address customer complaints and implement corrective actions.
• Participate in internal and external audits.
• Ensure compliance with certifications like ISO 9001.

7. Cross-Functional Coordination

• Work closely with production, design, and procurement teams.
• Train workers on quality standards and inspection techniques.
• Ensure quality awareness across the factory floor.

Key Skills Required

• Knowledge of textile/knitting processes
• Problem-solving and analytical skills
• Familiarity with quality tools (Pareto charts, root cause analysis)
• Attention to detail
• Good communication and reporting skills

Role summary

We are looking for an Email Marketing Specialist who combines analytical thinking with

creativity to drive high-performing campaigns. This role requires someone who can

independently plan, execute, and optimize email marketing initiatives while leveraging data to improve engagement and conversions. The ideal candidate is detail-oriented, proactive, and comfortable working across multiple tools, campaigns, and datasets.

This role comes with a high level of ownership. You will be responsible for managing email as a core growth channel end-to-end, from strategy to execution to optimization. We’re looking

for someone who can take initiative, test new ideas, and continuously improve performance without relying on constant direction.

What You’ll Do

1. Campaign Strategy & Planning

● Plan and execute email and outbound campaigns for lead generation

● Create targeted campaigns aligned with user personas and business goals

● Manage campaign calendars and ensure timely delivery across multiple initiatives

● Work with lead data tools (e.g., Apollo, Snov.io) to build and manage prospect lists

● Leverage AI tools (e.g., Claude, ChatGPT) to accelerate the whole process

2. Marketing Automation & CRM Management

● Build and manage automation workflows with a focus on logic, scalability, and efficiency

● Work extensively with CRM platforms (preferably HubSpot) for campaign execution and

tracking

● Maintain and optimize contact databases, segmentation, and lifecycle stages

3. Data Analysis & Optimization

● Ensure best practices in email deliverability, including domain setup and inbox health

● Track campaign performance using key metrics such as open rates, CTR, conversions,

and ROI — and for outbound specifically, monitor reply rate, positive reply rate, meeting

booked rate, and sequence-level A/B results

● Continuously test and optimize outreach sequences for reply rates and conversions

● Use data to derive insights and continuously improve campaign effectiveness

● Work with spreadsheets (Google Sheets/Excel) to analyze campaign data and generate

reports

4. Audience Segmentation & Persona Mapping

● Develop and refine customer personas for targeted communication

● Segment audiences based on behavior, demographics, and engagement patterns

● Personalize campaigns to improve relevance and performance

5. Content & Quality Control

● Collaborate with sales/marketing to align messaging with ICPs and target accounts

● Collaborate with content/design teams to develop effective email creatives

● Ensure accuracy, consistency, and attention to detail in all campaigns

● Conduct A/B testing for subject lines, content, and CTAs

6. Cross-functional Collaboration

● Work with marketing, sales, and external vendors to align campaigns with broader goals

● Communicate insights, performance updates, and recommendations clearly

Qualification Criteria

● 2+ years of experience in lead generations campaigns and GTM strategies, including email marketing or a other paid marketing channels

● Demonstrated ability to own a channel end-to-end — from strategy and execution to reporting and optimization — with minimal supervision

● Strong analytical mindset with the ability to interpret data and make decisions

● Proficiency in Google Sheets (comfortable with basic to intermediate formulas and data handling)

● Hands-on experience with CRM tools, preferably HubSpot

● Strong understanding of audience segmentation and persona mapping

● Deliver regular performance reports (weekly/monthly) covering campaign results, key

insights, and recommended next steps

● Present findings clearly to internal stakeholders, translating data into actionable

recommendations

● High attention to detail and ability to manage multiple campaigns simultaneously

● Self-starter with the ability to work independently and proactively

● Strong problem-solving skills and structured thinking

● Good written and verbal communication skills

Preferred Attributes

● Experience with prospecting and campaign setup tools like Snov.io and/or Apollo

● Familiarity with A/B testing frameworks and experimentation

● Exposure to email deliverability best practices and tools

● Experience working in fast-paced or high-growth environments

● Understanding of email infrastructure (SPF, DKIM, DMARC) and its impact on deliverability

● Experience managing multiple sending domains and maintaining inbox health

Benefits:

• Health insurance
• Provident Fund

Work Location: In person

• KEY SKILLS REQUIRED-

• HAND ON 2+ YRS EXPERINCE AS A GRAPHIC DESIGNER IN THE TEXTILE INDUSTRY / GARMENTS
• A keen eye for visual details.
• Ability to meet deadlines and collaborate with team members.
• Designing graphic content, ECOMMERCE CLOTHING DESAIGNIG

Experience: 2 years - 4 years
providing 100% remote 

We love solving hard problems together because the hardest challenges are often the most rewarding. You will have an opportunity to create products that will disrupt the industry. Providing customer delight is not just a phrase for us - It’s our mantra, Voice will always be heard - we encourage different points of view. 

Do you aspire to be a tech ninja?

Do you have a passion for building products in India and changing the worldview that we are just about services?

We want people who go deep and understand the fundamentals

RESPONSIBILITIES:

• Development and maintenance of automatic regression tests suites used in the product delivery process
• Development and maintenance of testing frameworks supporting the automatic regression testing
• Management and tracking of automatic regression test suite execution
• You will own some or all of a product/feature. You will also mentor others, read and review code, maintain code, deploy code, and tune the performance of systems.

SKILLS AND ABILITIES:

• We’re looking for 2 - 4 years of experience. However, the number is irrelevant if you have the necessary skills.
• Strong proficiency in Java, J2EE, JDBC, Spring MVC & Boot, Hibernate, PL/SQL, HTML, CSS, JavaScript and JQuery, Ajax
• Good exposure to RESTful API concept and JSON
• Experience with cloud-based technologies such as AWS.
• Proficient understanding of development tools such as SVN, GIT
• Good communication skills with proficiency in English (Oral and Writing) / banking knowledge. 

Plus Points:

• Product experience
• Startup experience
• Technologies that are Self-taught
• Contributed to stock exchange etc
• Open source contributions
• Any of your work in public that we can see

· Participate in the entire application lifecycle, focusing on coding and debugging

· Write clean code to develop functional web applications

· Troubleshoot and debug applications

· Perform UI tests to optimize performance

· Manage cutting-edge technologies to improve legacy applications

· Collaborate with Front-end developers to integrate user-facing elements with server- side logic

· Gather and address technical and design requirements

· Provide training and support to internal teams

· Build reusable code and libraries for future use

· Liaise with developers, designers and system administrators to identify new features

· Follow emerging technologies

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.