Data Analyst

Refyne; Bengaluru; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Refyne seeks a Data Analyst – Finance to turn numbers into insights, dashboards, and scalable financial models. You’ll automate MIS, improve data integrity, and collaborate with finance, product, and eng teams to track performance.

The ideal candidate has 3–5 years in data analytics (FinTech/SaaS), strong SQL, Python/R, and dashboards with Tableau or Power BI. Detail‑oriented and communicative professionals thrive here.

Qualifications

• 3–5 years of experience in data analytics, ideally in FinTech, SaaS, or high-growth tech startups.
• Strong SQL, Python or R, and data visualization skills.

Responsibilities

• Conduct comprehensive monthly MIS reporting for internal and external stakeholders.
• Analyze key financial and operational metrics to identify trends.
• Design, build, and maintain scalable reporting frameworks and dashboards.
• Identify inefficiencies and drive automation to reduce manual data entry.
• Monitor data hygiene and track metric deviations.
• Collaborate cross-functionally with finance, product, and engineering teams to ensure data integrity.

Skills

SQL

Python/R

Data Visualization

Tools

Tableau

Power BI

Metabase

Job description

About the Role

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.