Description:

About Meesho:

Meesho is India's fastest growing internet commerce company.

We want to make eCommerce accessible to all.

Our vision is to enable 100 million small businesses in India, including individual entrepreneurs, to succeed online.

Our mission is to democratise internet commerce by bringing a range of products & new customers online.

What started as a reseller-focused platform six years ago has now emerged as a single ecosystem connecting millions of sellers, consumers and entrepreneurs.

Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit.

We're not just a platform; we're your partner in turning dreams into realities.

Our Mission:

Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online.

We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost.

Over1.

75million sellers are registered on Meesho, growing their business by tapping the company's massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers.

Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country.

We cater to an underserved and unique customer base and cover every serviceable pincode in the country.

Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company.

Job Description:

Function: Data Science and Analysis - Data Analysis / Business Intelligence

SQL, Python, Business Intelligence, Data Analysis, Tableau, Power BI

We are seeking a highly skilled and motivated Technical Program Manager (TPM) to join our Data Analytics department.

In this crucial role, you will be responsible for driving complex, cross-functional data-related initiatives.

The ideal candidate possesses a deep understanding of data analytics, strong technical aptitude, exceptional program management abilities, and a proven track record of delivering high-impact data solutions.

This role requires hands-on engagement with data, code, and statistical concepts.

Responsibilities:

- Develop and maintain detailed project plans, track progress, manage dependencies, and mitigate risks proactively.

- Act as the primary point of contact and bridge between technical teams (Data Science, Data Engineering) and non-technical stakeholders (Product Management, Operations, Leadership).

- Drive stakeholder management by effectively communicating program status, risks, and changes to executive and working-level audiences.

- Facilitate decision-making and achieve consensus across multiple teams with competing priorities.

- Exhibit great communication skills, both written and verbal, to articulate complex technical ideas clearly and concisely.

- Have hands-on knowledge of SQL and Python.

and strong analytical skills to interpret IoT data, identify trends, and translate business questions into analytical requirements.

- Oversee data analysis work, ensuring outputs are accurate, insightful, and actionable for business teams.

- Champion a data-driven culture and identify opportunities to improve data collection, processing, and analysis pipelines.

- Demonstrate strong problem-solving skills to overcome technical and organisational hurdles that arise during program execution.

Requirements:

- 3+ years of experience in technical program management, with a significant focus on data analytics, data science, or business intelligence initiatives.

- Proven experience working in data-related projects and programs (e.g., building data pipelines, developing analytical platforms, implementing ML models).

- Working knowledge of Python for data analysis, scripting, and automation.

- A solid understanding of statistical concepts and their application in real-world data analysis.

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

- Experience in working in a native cloud ecosystem.

- Experience with cloud-based data warehouses (e.g., Snowflake, BigQuery, AWS Redshift).

- Familiarity with data visualisation tools (e.g., Tableau, Power BI).

- Experience in an IoT, tech, or scaled data environment is highly desirable.

- Knowledge of agile methodologies and tools (e.g., Jira, Confluence).

- Prior experience managing programs that involve production-level machine learning models.

- Knowledge to leverage Gen AI in day-to-day work to be more efficient and smart