Data Analyst

Refyne India; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Refyne India is seeking a Data Analyst – Finance to transform complex financial data into actionable insights, automated dashboards, and robust reporting frameworks. You will champion data integrity and partner with cross-functional teams to optimize how we track performance.

You will join a Finance team that values data clarity and scalable reporting, contributing toभारत-wide growth through accurate financial dashboards and proactive data automation.

Qualifications

• 3–5 years of experience as a Data Analyst.
• Proficiency in SQL, Python, and BI tools.
• Experience in FinTech/SaaS startups is a plus.

Responsibilities

• Conduct monthly MIS reporting for internal and external stakeholders.
• Analyze financial and operational metrics to identify trends and provide recommendations.
• Design, build, and maintain scalable reporting frameworks and dashboards.
• Identify inefficiencies and drive automation to reduce manual data entry.
• Monitor data hygiene and perform regular data cleansing and KPI tracking.
• Collaborate with finance, product, and engineering teams to ensure data integrity.
• Maintain documentation, data dictionaries, and SOPs for reporting processes.

Skills

SQL

Python

Data visualization

Tools

Tableau

Power BI

Metabase

Job description

Data is the catalyst behind every strategic decision we make at Refyne.

As Data Analyst – Finance, you will bring clarity to our numbers—turning complex operational data into actionable insights, automated dashboards, and robust financial frameworks. In this role, you’ll eliminate manual complexity, champion data integrity, and work cross-functionally to optimize how we track performance.

Joining us means shaping the financial intelligence engine that powers scalable growth across Bharat.

How You'll Make an Impact

• Conduct comprehensive monthly Management Information Systems (MIS) reporting for internal and external stakeholders.
• Analyze key financial and operational metrics to identify performance trends and provide actionable recommendations.
• Design, build, and maintain scalable reporting frameworks and interactive dashboards.
• Identify operational inefficiencies and drive automation initiatives to eliminate manual data entry.
• Monitor data hygiene, perform regular cleansing, and track daily/weekly operational metric deviations.
• Partner cross-functionally with finance, product, and engineering teams to ensure data integrity and respond to ad-hoc analytical requests.
• Maintain technical documentation, data dictionaries, and Standard Operating Procedures (SOPs) for reporting processes.

What Makes You a Great Fit

• 3–5 years of experience as a Data Analyst, ideally in FinTech, SaaS, or high-growth tech startups.
• High proficiency in SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI, Metabase).
• Strong analytical mindset with experience in building automated MIS models and financial dashboards.
• Solid understanding of financial metrics, data cleansing techniques, and database structures.
• High attention to detail, strong numerical accuracy, and excellent cross-functional communication skills.

What You'll Be Part Of

The Team

You’ll join a collaborative Finance team that values data clarity, operational automation, and structured reporting across core business metrics.