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Our data-driven platform empowers you to make smarter investment decisions with insights and automated research. Track your portfolio's health, discover new stocks, and stay ahead of global investment trendswithout the guesswork. Backed by investors like July Ventures, Arora Ventures, Cadenza and HDFC, Borderless offers a secure, reliable platform to help you grow your wealth globally. Ready to invest smarter Borderless makes it easy.
What's the role
As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to help the business make informed decisions. You will work closely with cross-functional teams to turn raw data into meaningful insights, dashboards, and reports that drive performance and growth.
Analyze large datasets to identify trends, patterns, and actionable insights.
Create and maintain reports, dashboards, and MIS using Excel, SQL and Python.
Write and optimize Python scripts for data cleaning, transformation, and analysis.
Work with stakeholders to understand business requirements and translate them into data solutions.
Ensure data accuracy, consistency, and quality across reports.
Present insights and recommendations in a clear and structured manner.
Support ad-hoc data analysis requests from business and leadership teams.
Collaborate with internal teams to understand requirements and deliver data-driven insights.
A Global Impact: You'll help people across Asia, the Middle East, and India unlock global investing opportunities.
A Supportive Team: Work with smart, passionate colleagues who are as committed to your growth as you are to theirs.
Exciting Growth: Be part of an innovative platform that's changing how people invest globally every day brings new opportunities!
A Fun Environment: Work hard, play hard, and enjoy the dynamic culture of a startup that's pushing the boundaries in fintech!
35 years of experience in a Data Analyst or similar role.
Strong proficiency in Python (Pandas, NumPy, basic data visualization).
Mandatory experience in Excel (advanced formulas, pivot tables, dashboards).
Experience working with structured datasets and large volumes of data.
Good understanding of business metrics and data-driven decision making.
Strong analytical, problem-solving, and communication skills.
Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field
Job ID: 139167251