Product Operations Analyst

Instawork

San Francisco, CA0–2 yrs3d agovia LinkedIn

About the Role

Instawork is seeking a curious and driven Product Operations Analyst to help operationalize intelligent product features, ensuring they deliver value and efficiency to users. This role is at the intersection of product, data, and user experience.

Key Responsibilities

  • Support Product Rollouts & Adoption: Work closely with product, design, and operations teams to execute outreach and rollout plans for new features.
  • Contribute to Product Development: Act as a key tester for new product capabilities, document findings, share user feedback, and help identify areas for improvement.
  • Analyze Feature Performance: Assist in monitoring the performance of new features by tracking key metrics, analyzing user behavior, and summarizing insights.
  • Champion the User Experience: Gather, organize, and analyze user feedback from various channels to inform the product roadmap.
  • Streamline Team Operations: Identify opportunities to make processes more efficient through documentation, improved feedback loops, or simple automations.

Qualifications

  • An early-career professional, from a recent graduate up to 2 years of experience.
  • A Passion for Product & Tech: Fascinated by how technology products are built, launched, and improved; eager to learn and contribute to the product lifecycle.
  • Curious about AI: Interested in learning about the latest AI technologies and tools and their potential to improve user experiences.
  • Analytical & Data-Curious: A knack for looking at data to find patterns and answer questions; comfortable with spreadsheets (Excel/Google Sheets) and excited to learn more about data analysis.
  • A Problem-Solver: Enjoys tackling challenges, motivated to find efficient solutions, organized, detail-oriented, and not afraid to ask questions.
  • Eager to Learn Technical Skills: Interested in learning data analysis tools. Any exposure to SQL or other data tools is a plus.
  • Collaborative & Hands-On: A team player ready to help with a variety of tasks, from testing new features to analyzing user feedback.

Nice To Have:

  • Familiarity with Automation Tools: Experience with tools like Zapier or other no-code/low-code platforms.
  • Data Analysis Exposure: Basic experience with SQL, Python (Pandas), or data visualization tools like Tableau or Looker.
  • Internship or Project Experience: Previous internships or relevant project work in a tech, startup, or marketplace environment.
  • Customer-Facing Experience: Experience in a role with direct user or customer interaction (e.g., customer support, community management).

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