Product Operations Analyst

About the Role

tech-savvy Product Operations Analyst

You will collaborate closely with product managers, data scientists, and engineering teams to streamline operational processes, design prompt systems for AI tools, and improve product efficiency.

Key Responsibilities

• Partner with Product Managers

  to define and monitor key metrics for product and operational success.

• Design, test, and optimize prompts

  for LLM-based tools to enhance workflows, data insights, and automation.

• Develop Python-based scripts and dashboards

  to streamline reporting and process tracking.

• Conduct data analysis

  (SQL, Python, BI tools) to identify trends and improvement opportunities.

• Collaborate with engineering teams

  to integrate prompt-based automation into existing systems.

• Document and maintain prompt repositories

  , SOPs, and feedback loops.

• Support A/B experiments

  and evaluate AI-assisted workflows for efficiency gains.

• Continuously monitor AI tool performance

  and recommend refinements based on business feedback.

Required Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related technical field (IIT/IIIT/NIT/Thapar or equivalent preferred).
• 2–4 years of experience in product operations, data analytics, or related product-facing roles.
• Proficiency in

  Python scripting

  (data wrangling, automation, API integration).
• Working knowledge of

  prompt engineering techniques

  for generative AI tools (ChatGPT, Claude, Gemini, etc.).
• Strong analytical and problem-solving skills; ability to work with data and derive insights.
• Familiarity with

  SQL, dashboarding tools

  (Power BI, Tableau, Looker), and product analytics metrics.
• Excellent communication and cross-functional collaboration skills.

Preferred Skills

• Exposure to

  A/B testing

  or product experimentation frameworks.
• Experience with

  workflow automation tools

  (Zapier, LangChain, OpenAI API).
• Understanding of

  LLM evaluation and fine-tuning basics

  .
• Prior experience in

  startup or product-based environments

  .