Peakflo

Data Analyst (Remote, India)

Singapore, Singapore, SG Full-time

https://app.dover.com/apply/Peakflo/577d81ef-4565-4516-810b-5cdc39630d66?rs=42706078

Peakflo is a B2B Fintech SaaS startup part of YCombinator W22, that just raised $4.1M in seed funding and was picked by Techcrunch as their top 10 favorites out of a cohort of 400 and also in a TechCrunch exclusive

Locations: Hiring in India (Remote)

🚀 Who we are and what we’re building

  • Peakflo is a 2021 founded, Singapore headquartered B2B Fintech SaaS startup
  • Finance operations at any high-growth SMB or startup is plagued with resource-intensive customer collections and vendor payment processes. Teams spend hundreds of hours in manual processes and thousands of dollars on transaction fees each month
  • Peakflo has 2 key solutions: one is an Accounts Receivables Automation SaaS and the other is an Accounts Payable Automation SaaS, both targeted at startups and SMEs
  • Peakflo with its simple API and one-click accounting software integrations, allows businesses to streamline their customer collections and vendor payments. More than 50 companies, ranging from early-stage startups to unicorns in SE Asia, use Peakflo each week to:

✅ Save 2000 man-hours/month on finance ops ⏳

✅ Get paid faster on customer invoices by 15-25 days 📈

✅ Cut vendor bill payment time by 50% 💰

✅ Automate three-way matching ♻️

⚙️ Operations at Peakflo

This role is ideal for anyone who is looking to rapidly advance their career and assume responsibilities in a fast-pace setting while working closely with the founders.

We're looking for a Fintech Operations who will streamline our Fintech SaaS operations, including Payment, Monthly Billing, Support operations, by increasing process maturity, transparency, observability, automation levels and scaling the teams involved.

💪 What you’ll do

  • Analyze business processes, data quality issues, and operational bottlenecks to identify improvement opportunities.
  • Design and develop scalable solutions to address recurring issues.
  • Automate workflows, data transformations, and reporting using Python and SQL.
  • Build and maintain dashboards, reports, and data monitoring frameworks.
  • Collaborate with product, engineering, and operational teams to define requirements and implement solutions.
  • Conduct root cause analysis and present findings along with actionable recommendations.
  • Continuously improve existing automation, scripts, and data pipelines for scalability and efficiency.
  • Document workflow logic, automation scripts, and solution design clearly for internal stakeholders.

👀 Who we’re looking for

  • 1 year of experience in analytics, automation, or data operations
  • Good experience of building and using cursor agents (or any similar tool), connecting via MCP servers and building OPS AI agents.
  • Strong proficiency in Python (data processing, automation scripts, API integrations preferred)
  • Solid experience with SQL (joins, aggregations, performance tuning)
  • Strong problem-solving and analytical mindset
  • Ability to design solutions for scale rather than one-off fixes
  • Ability to translate ambiguous requirements into structured workflows and logic
  • Excellent communication and documentation skills
  • Detail-oriented with a bias for action and continuous improvement
  • Ability to work cross-functionally and manage multiple priorities efficiently
  • Familiarity with version control (Git)

😎 Bonus points if you:

  • Experience with cloud platforms (docker, k8s, GCP)
  • Exposure to workflow automation, n8n, Airflow, dbt, or similar tooling

Benefits

🏡 Remote - We are building a remote friendly culture centered around trust and meritocracy

👩‍💻 Learning - Learn with a vibrant, young and ambitious team that has built a $200mn+ co acquired by Alibaba Group

https://app.dover.com/apply/Peakflo/577d81ef-4565-4516-810b-5cdc39630d66?rs=42706078

🚀 Y Combinator Company Info

Y Combinator Batch: W22
Team Size: 45 employees
Industry: Financial Technology and Services -> Payments
Company Description: Agentic workflows that automate your back‑office operations

💰 Compensation

Salary Range: $700,000 - $1,000,000

📋 Job Details

Job Type: Full-time
Experience Level: 1+ years
Engineering Type: Data science

🛠️ Required Skills

Python SQL Data Analytics