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Poshmark is hiring for a Data Analyst - BI Intern role in India




Position:

  • Data Analyst - Business Intelligence Intern

  • Entry level role focused on learning, assisting, and contributing to data work

  • Supports company wide reporting projects

  • Works with senior analysts and data engineers

  • Gains practical experience in business intelligence activities

Company:

  • Poshmark

  • A social commerce platform for new and secondhand fashion items

  • A community driven marketplace

Location:

  • Chennai Tamil Nadu India

  • The work setting is in the India office with access to local teams

  • In person interactions with product and data teams

Job type:

  • Internship

  • Full time engagement for the internship period

  • Requires ongoing availability during the scheduled duration

Job mode:

  • Onsite

  • Physical presence at the Chennai office

  • Daily coordination with team members within the office environment

Job requisition id:

  • R 200509

Years of experience:

  • Freshers only

  • Intended for students completing graduation in 2025 or 2026

  • No prior work experience required


Company description

  • Poshmark is a social marketplace that encourages users to buy and sell fashion items, accessories, household items, and lifestyle products

  • The platform blends community interaction with online shopping which creates a social shopping experience where people connect, share, and trade styles

  • The company grew rapidly by encouraging user generated activity which has helped people build their own micro businesses

  • Poshmark operates across the United States, Canada, Australia, and India which allows millions of users to participate

  • The platform is known for supporting sustainable shopping by extending the lifespan of clothing and accessories

  • It combines human interaction with the convenience of ecommerce which helps users enjoy a friendly and easy buying process

  • Since launch, the company has cultivated a large community of registered users who participate in real time social interactions

  • Poshmark invests heavily in technology and data teams to drive better recommendations, stronger personalization, and improved marketplace experience

  • Its marketplace promotes responsible consumption by helping users reduce waste and purchase items at affordable prices

  • The company focuses on simplicity, community relationships, and a fun experience that encourages people to express their personal style

  • It is a mission driven organization that invests in continuous innovation and data driven improvements

  • Poshmark continues to expand its global presence by strengthening the core marketplace and supporting sellers in building sustainable online storefronts


Profile overview

  • The Business Intelligence Intern supports data operations, reporting, analytics, and quality checks across the platform

  • This role allows students to gain experience in building data pipelines, managing transformations, and maintaining reporting tables

  • Interns work closely with senior analysts, engineers, and product teams to understand business requirements and translate them into data solutions

  • The role requires curiosity, attention to detail, and a willingness to learn how large scale data environments operate

  • Interns help prepare datasets for product launches and feature updates by collaborating with cross functional teams

  • The position allows hands on experience with structured and semi structured data along with exposure to the complete data lifecycle

  • The internship gives exposure to business logic development, reporting frameworks, and problem solving activities

  • The role helps sharpen technical skills such as SQL querying, data modeling concepts, and visualization practices

  • Interns also strengthen communication skills by preparing documentation and interacting with diverse teams

  • The ideal candidate enjoys understanding data patterns, running investigations, and ensuring accuracy in reporting

  • The role builds foundational experience that can prepare candidates for future analyst or data engineering opportunities

  • The company values individuals who show initiative, creativity, and a genuine passion for data driven work


Responsibilities

  • Build and maintain data pipelines that support business intelligence requirements

  • Assist in improving processes for data extraction, data transformation, and data loading

  • Review incoming data for inconsistencies and collaborate with teams to fix issues

  • Work with stakeholders to understand their reporting needs and prepare structured datasets

  • Support teams during product launches by delivering accurate and timely data

  • Troubleshoot pipeline challenges and flag issues that need escalation

  • Prepare detailed documentation that explains workflows, logic, assumptions, and dependencies

  • Apply learnings from senior team members to deliver cleaner and more efficient solutions

  • Work independently when needed while staying aligned with team expectations

  • Engage with data engineers and analysts to understand how systems fit together

  • Ensure high quality standards by performing thorough quality checks

  • Follow established guidelines to log any issues and coordinate with teams for closure

  • Participate in team discussions and share observations that may improve processes

  • Contribute to knowledge sharing and maintain clarity in communication

  • Take responsibility for assigned tasks and complete them within expected timelines


Qualifications

  • Currently enrolled in a relevant academic program with graduation expected in 2025 or 2026

  • Basic understanding of data warehousing concepts and data pipelines

  • Beginner to intermediate level understanding of SQL for querying datasets

  • Willingness to learn database technologies including relational systems, columnar stores, and NoSQL stores

  • Interest in visualization tools such as Looker or Tableau which can help in reporting

  • Familiarity with Python at a beginner or intermediate level with interest in scripting

  • Enthusiasm to work with large data volumes and complex data structures

  • Eagerness to learn how data governance, data architecture, and data management work

  • Basic awareness of cloud concepts such as IAM, EC2, EMR within AWS ecosystem

  • Good analytical ability with the capacity to approach challenges logically

  • Strong communication ability with clear writing and speaking skills

  • Presentation skills using tools like PowerPoint or similar

  • Desire to grow within a data driven environment and work on real business problems

  • Comfortable collaborating with multiple teams and receiving feedback

  • Fast learner with the ability to adapt to new tools and technologies


Additional info

  • Poshmark invests in the growth of its interns by providing access to strong mentors, practical projects, and an open culture

  • The company values people who enjoy taking initiative and contributing ideas

  • Poshmark believes in teamwork and encourages everyone to openly discuss challenges and collaborate

  • The workplace values inclusivity which ensures that all employees and interns feel supported

  • Interns are encouraged to bring ideas, ask questions, and maintain a curious mindset

  • The company has a long standing commitment to ethical practices, responsible commerce, and sustainability

  • The organization promotes a supportive and encouraging atmosphere where personal goals and professional learning align

  • The team is friendly, approachable, and passionate about shaping the future of commerce

  • The core values include respect for individuals, supporting each other, and creating positive impact

  • Diversity is celebrated and everyone is welcomed without bias

  • Poshmark believes that people are the foundation of its success and the company continually works to support them

  • Interns gain exposure to global teams which broadens their understanding of technology driven marketplaces

  • The internship experience helps prepare candidates for real world analytics and data engineering roles


Please click here to apply.


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