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Associate - Operations

Meesho

  • Bengaluru, India
  • 5 LPA
  • 1 Year
  • Posted Today
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About the role

Meesho, founded in 2015, has grown into one of India’s most vibrant e‑commerce platforms, empowering millions of small entrepreneurs to sell online without any upfront costs. With a mission to democratise internet commerce, Meesho provides zero‑commission listings, affordable logistics and a robust technology stack that connects sellers across urban, semi‑urban and rural India. The company’s rapid expansion has been fuelled by a culture of innovation, data‑driven decision making and a relentless focus on customer delight.

Meesho’s grocery vertical, Meesho Grocery, is an early‑stage venture aimed at disrupting the $800 billion grocery market by building a low‑cost distribution network for tier‑2 and tier‑3 cities.

The Associate – Operations role sits at the heart of this ambitious venture. Reporting to the Operations Lead, the associate will own end‑to‑end seller‑side processes, ensuring that inventory handling, order picking and dispatch are executed flawlessly. The role blends analytical thinking with hands‑on leadership – you will design process improvements, monitor key performance indicators, and coach seller‑personnel to achieve higher productivity and compliance.

Collaboration with the central Control Tower and Process Excellence teams will be essential to drive operational excellence across multiple fulfilment centres.

Key responsibilities include

  • Oversee daily seller‑side operations to guarantee timely and accurate pickups, meeting targeted service levels.
  • Design, implement and continuously optimise material‑handling and purchase‑order fulfilment workflows.
  • Enforce strict quality and compliance standards across all processing centres.
  • Drive initiatives that improve delivery timelines and increase successful delivery rates.
  • Identify cost‑saving opportunities and implement efficiency‑boosting measures.
  • Develop and roll out structured training programmes for seller personnel, tracking performance through defined KPIs.
  • Monitor workforce productivity, conduct regular performance reviews and suggest engagement strategies.
  • Liaise with the Control Tower to resolve bottlenecks and ensure smooth cross‑functional coordination.
  • Prepare daily, weekly and monthly operational dashboards for senior leadership.
  • Participate in pilot projects for new technology roll‑outs, such as warehouse automation tools.

The tech stack for this role primarily involves advanced Excel for data analysis, SQL basics for querying operational databases, and familiarity with ERP/warehouse management systems. Knowledge of data visualisation tools like Power BI or Tableau is a plus. The growth path can lead to Operations Manager, Process Excellence Lead, or even Product Management roles within Meesho’s broader ecosystem.

Joining Meesho offers exposure to a fast‑growing start‑up environment backed by a stable corporate structure, ample learning opportunities, and the chance to impact millions of shoppers across India.

Why join Meesho? You will be part of a purpose‑driven mission to make essential goods affordable for every Indian household, work alongside high‑energy innovators, and benefit from competitive compensation, equity participation and a comprehensive wellness programme. The company’s inclusive culture, focus on continuous performance management and clear internal mobility pathways ensure that high‑performing associates can accelerate their careers quickly.

Eligibility & process

Who can apply

Graduates (B.Tech/B.E., B.Sc., B.Com, BA) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Freshers and candidates with up to 1 year of work experience are eligible. No active backlogs at the time of joining. Candidates from the 2022, 2023 or 2024 batches can apply; final year students may apply if they can join immediately after graduation.

Skills & stack

Operations Management Process Optimization Data Analysis Microsoft Excel SQL Leadership Stakeholder Management Kpi Tracking

Selection process

  1. Round 1: Online Assessment – aptitude, logical reasoning and basic data interpretation
  2. Round 2: Technical/Operations interview – case studies, process design questions and Excel/SQL tasks
  3. Round 3: HR interview – cultural fit, motivation and compensation discussion

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Operations Management, Process Optimization, Data Analysis, Microsoft Excel, SQL, Leadership, Stakeholder Management, Kpi Tracking) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Meesho Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Meesho as a Associate - Operations?
Highlight Meesho's market reputation, recent tech innovations, and how your skills in Operations Management directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Meesho 5 LPA
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