Data Analyst

Duruva Finance; Thrissur; On-site; INR 600,000 - 850,000; Full time

Job summary

Duruva Finance is seeking a highly skilled Data Analyst to join our team in the financial services domain. You will transform complex financial data into actionable insights, develop reports and dashboards, and collaborate with risk, compliance, marketing, and portfolio teams to support data-driven strategies.

The role requires strong SQL skills, experience with Tableau/Power BI, and programming with Python or R, plus a solid foundation in statistics and data visualization.

Qualifications

• Bachelor's degree in a relevant field.
• Experience as a Data Analyst in financial services or related sector preferred.
• Strong SQL and data querying/database management.
• Hands-on data visualization with Tableau/Power BI.
• Proficiency in Python or R for data analysis.
• Excellent analytical thinking and problem-solving abilities.

Responsibilities

• Analyze large and complex financial datasets to identify trends, patterns, and anomalies.
• Develop, implement, and maintain data collection systems and strategies that optimize statistical efficiency and data quality.
• Create detailed reports, dashboards, and visualizations to present data insights to stakeholders and senior management.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Conduct data validation and quality assurance to ensure data accuracy and integrity.
• Assist in risk assessment and compliance monitoring through data analysis.
• Stay updated on industry trends, tools, and best practices in data analytics within financial services.

Skills

SQL

Tableau

Power BI

Python

R

Statistics

Data storytelling

Education

Bachelor's degree in Data Science, Statistics, Finance, Economics, or related field

Job description

Description

We are seeking a highly skilled and detail-oriented Data Analyst to join our dynamic team within the Financial Services industry. The ideal candidate will play a pivotal role in analyzing complex financial data, uncovering trends, and providing actionable insights that drive strategic decision-making. This position requires a strong foundation in data manipulation, statistical analysis, and data visualization, alongside an in-depth understanding of financial markets and instruments. As a Data Analyst, you will collaborate closely with cross-functional teams including risk management, compliance, marketing, and portfolio management to support data-driven strategies. You will be responsible for transforming raw data into meaningful reports and models that highlight business performance, identify opportunities for growth, and mitigate risks. The role demands a proactive and inquisitive mindset, coupled with technical proficiency and the ability to communicate findings effectively to both technical and non-technical stakeholders. If you are passionate about leveraging data to enhance financial outcomes and have a knack for translating complex datasets into clear insights, this is an exciting opportunity to contribute to a leading financial services firm dedicated to innovation and excellence.

Responsibilities

• Analyze large and complex financial datasets to identify trends, patterns, and anomalies.
• Develop, implement, and maintain data collection systems and other strategies that optimize statistical efficiency and data quality.
• Create detailed reports, dashboards, and visualizations to present data insights to stakeholders and senior management.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Conduct data validation and quality assurance to ensure data accuracy and integrity.
• Assist in risk assessment and compliance monitoring through data analysis.
• Stay updated on industry trends, tools, and best practices in data analytics within the financial services sector.

Requirements

• Bachelors degree in Data Science, Statistics, Finance, Economics, or a related field.
• Proven experience as a Data Analyst in the financial services industry or a related sector.
• Strong proficiency in SQL and experience with data querying and database management.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or similar software.
• Advanced knowledge of statistical analysis tools and programming languages such as Python or R.
• Excellent analytical thinking and problem-solving abilities.

Strong communication skills with the ability to present complex data insights to non-technical stakeholders.