Data Analyst

FinBox; Bengaluru; On-site; INR 6,00,000 - 10,00,000; Full time

Job summary

A leading financial technology company in Bengaluru is looking for a Data Analyst with 2-4 years of experience. The ideal candidate should have strong SQL skills and expertise in data analysis and visualization tools. You'll be responsible for interpreting complex data sets, optimizing statistical efficiency, and providing actionable insights. A relevant bachelor's degree is required.

Qualifications

• 2-4 years of proven experience as a Data Analyst or Business Data Analyst.
• Expertise in data models, database design, data mining, and segmentation techniques.
• Strong experience in querying, report writing, and data visualization.

Responsibilities

• Interpret data, analyse results using statistical techniques, and provide ongoing reports.
• Develop and implement databases and data collection systems.
• Identify, analyse, and interpret trends or patterns in complex data sets.

Skills

Data analysis

SQL

Data visualization tools

Statistical analysis

Programming languages

Education

Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics

Tools

Business Objects

Power BI

Tableau

Excel

SPSS

SAS

Job description

Responsibilities:

• Interpret data, analyse results using statistical techniques, and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics, and other strategies to optimise statistical efficiency and quality.
• Acquire data from primary or secondary sources and maintain databases/data systems.
• Identify, analyse, and interpret trends or patterns in complex data sets.
• Clean and filter data by reviewing reports, printouts, and performance indicators to locate and correct issues.
• Work closely with management to prioritise business and information needs.
• Locate and define new process improvement opportunities.

Requirements:

• 2-4 years of proven experience as a Data Analyst or Business Data Analyst with a strong analytical mindset.
• Expertise in data models, database design, data mining, and segmentation techniques.
• Strong proficiency in SQL, reporting tools (e. g., Business Objects, Power BI, Tableau), and data processing frameworks.
• Knowledge of statistics and experience using statistical packages such as Excel, SPSS, or SAS for analysing datasets.
• Experience with programming languages like XML, JavaScript, or ETL frameworks is a plus.
• Ability to collect, organise, analyse, and interpret large datasets with attention to detail and accuracy.
• Strong experience in querying, report writing, and data visualisation.
• Candidates with experience in banking, NBFCs, or risk analytics are preferred.
• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.