Data Collections - Team Lead

Pattern®; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading eCommerce data company is looking for a hands-on and people-oriented lead for Data Collection & Operations to oversee their growing Marketplace Data Acquisition team in Pune. This role involves mentoring a team, ensuring accurate data collection, developing SOPs, and collaborating cross-functionally. Ideal candidates should have over 4 years in data operations and 1 year in leadership, along with excellent communication skills and attention to detail. This is an opportunity to drive data excellence in a vibrant company environment.

Qualifications

• 4+ years of experience in data operations or content ops.
• 1+ years of team leadership experience preferred.
• Ability to document and improve tasks.

Responsibilities

• Lead and mentor a team of Data Collection Specialists.
• Ensure accurate data collection from various platforms.
• Develop and enforce SOPs for data collection.

Skills

Team leadership experience

Communication skills

Data accuracy focus

Attention to detail

Tools

Google Sheets

S3

Google Chrome

Job description

We are looking for a hands‑on and people‑oriented lead for Data Collection & Operations to lead our growing Marketplace Data Acquisition team in our Pune office. This role is a blend of team leadership and active contribution to our daily data collection efforts. The ideal candidate has experience managing operational teams, excellent process management skills, and is excited to roll up their sleeves when needed.

Roles And Responsibilities

• Lead, mentor, and support a team of Data Collection Specialists.
• Ensure data is collected accurately, consistently, and on schedule from a variety of marketplace platforms.
• Develop and enforce SOPs and best practices for manual and automated data collection.
• Collaborate cross-functionally with engineering, and QA teams to meet business needs.
• Track team performance and provide regular feedback and training to elevate execution quality.
• Actively participate in data collection during high-volume periods or for complex sources.
• Monitor data quality, troubleshoot issues, and implement improvements to workflows.
• Contribute to planning and onboarding of new data sources and processes.
• Maintain adherence to security and confidentiality standards in all data operations.

Technical Skills

• 4+ years of experience in data operations, content ops, or related roles; 1+ years of team leadership experience preferred.
• Strong communication and collaboration skills to work across teams and time zones.
• Excellent attention to detail and a passion for clean, reliable data.
• Working knowledge of tools like Google Sheets, Google Chrome, shared drives, and S3.
• Process-oriented mindset with an ability to document and improve recurring tasks.
• Comfort with troubleshooting and problem‑solving in a fast‑paced environment.

Functional Skills

• Familiarity with eCommerce marketplaces such as Amazon Seller Central, Walmart Seller Center, or Flipkart.
• Exposure to Chrome extensions or automation tools.
• Experience working with cross‑functional stakeholders including engineering and analytics.

Pattern is a leading eCommerce data and growth company located in the Silicon Slopes tech hub, with global offices in Europe, China, India, Australia, the Middle East, and Canada. Named one of the fastest-growing companies in the US by Inc. 500, Pattern is trusted by world-class consumer brands like Skullcandy, Nestlé, Clorox, Kong, Panasonic, and TUMI. Our edge is found in the data, and our people bring it to life. We ’re a team of doers, data fanatics, and game changers—partner‑obsessed and always pushing the limits. Think you’ve got the hustle and a touch of nerd? Pattern is the place for you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.