Data Analyst (Remote, India) at Peakflo (W22)
₹700K - ₹1M INR
Agentic workflows that automate your back‑office operations
IN / Remote (IN)
Full-time
US citizenship/visa not required
1+ years
About Peakflo

Peakflo with its simple API and one-click ERP integrations, allows businesses to streamline their invoice-to-cash and procure-to-pay processes. 100+ companies, from scale-ups to enterprises, use Peakflo each 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
About the role
Skills: Python, SQL, Data Analytics

🚀 Who we are & What we’re building

Peakflo is a rapidly growing Agentic AI company. We are revolutionizing the way global finance teams work with our agentic workflows, and we are actively seeking exceptional talent across diverse disciplines to champion this transformation, uniting multidisciplinary expertise to propel our global strategic vision.

Our Culture : We believe in building a vibrant, high-performance culture that rewards curiosity, ownership, and innovation. Our team spans the globe, and we love coming together to solve hard problems and celebrate our wins. Most importantly, we have begun building an environment that provides the support and mentorship needed to succeed, learn, and grow. ❤️

⚙️ 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

Technology

We are looking for quick-thinking, problem-solving full stack engineers to build the next generation of fintech products. Our SaaS product is built using typescript, node.js and react.

You should apply if you are interested in backend, microservice distributed architecture; if you are looking to join a high-growth high-pace startup with great engineering culture; if you want to work in a passionate high-skilled team.

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