Business Data Analyst (Fresher)

Company Description FSSSI Global Pvt. Ltd. (Financial Services and Software Solution Innovation Global Pvt. Ltd.) is a multidisciplinary organization providing integrated financial, legal, and software solutions to modern businesses and individuals. Built on innovation, transparency, and excellence, the company delivers secure, smart, and future-ready services that support growth and compliance. With expert teams across finance, technology, and legal domains, FSSSI Global offers 360° business support, driving operational efficiency and digital transformation across diverse industries. Its mission and vision focus on becoming a global leader in integrated business solutions by blending financial expertise, legal insight, and advanced software technology. Core values include integrity, innovation, excellence, collaboration, and sustainability, reflected in key services such as financial advisory, legal and compliance support, and financial software solutions.
Role Description The Business Data Analyst (Fresher) will support data-driven decision-making by collecting, organizing, and analyzing business data across financial, legal, and software solution domains. This full-time hybrid role is based in Pune City, with a mix of on-site work and some work-from-home flexibility. Day-to-day responsibilities include preparing reports and dashboards, performing basic data analysis, and assisting in data modeling to support business operations and client projects. The role involves collaborating with cross-functional teams to understand data requirements, validating data accuracy, and presenting findings in a clear, structured manner. The analyst will also contribute to process improvement initiatives by identifying trends, patterns, and opportunities based on data insights.
Qualifications
Strong analytical skills and foundational knowledge of data analytics to interpret business data and identify trends.
Basic understanding of statistics to perform descriptive analysis and support data-driven recommendations.
Knowledge of data modeling concepts to assist in designing simple data structures and reporting frameworks.
Effective communication skills to present data insights clearly to non-technical stakeholders and collaborate with teams.
Bachelor’s degree in a relevant field such as Data Science, Statistics, Economics, Computer Science, Engineering, or Business.
Familiarity with tools such as Excel, Google Sheets, or basic BI platforms (e.g., Power BI, Tableau) is advantageous.
Ability to learn quickly, work with structured and unstructured data, and maintain attention to detail.
Interest in financial services, legal compliance, or software solutions and willingness to grow in a multidisciplinary environment.

Work arrangement
Hybrid