
Reading
Options
To know more
A Big Data Analyst collects, processes, and analyses large volumes of structured and unstructured data to help organisations make informed decisions. They use tools like data analytics, machine learning, and visualisation software to identify patterns, trends, and business insights. Big Data Analysts work in sectors such as finance, healthcare, e-commerce, technology, education, and government services.
Analytical thinking
Technical skill
Critical thinking skill
Problem solving
Sidhharth Sahu from Odisha transformed career challenges into opportunity by transitioning from marketing and sales to data science after losing his job during the 2020 pandemic. Driven by his interest in mathematics and statistics, he completed a Certified Data Scientist programme and gained practical project experience. His dedication and continuous learning helped him secure a Data Scientist role at Bajaj Allianz, inspiring aspiring professionals in big data and analytics.
A Big Data Analyst can become an entrepreneur by leveraging their expertise in data interpretation and analytics to identify industry problems and develop data-driven solutions or services. By creating products like predictive analytics tools, real-time dashboards, or industry-specific SaaS platforms, they can address business inefficiencies and unlock insights for smarter decision-making. They may also start a data consultancy or analytics firm, offering services in data mining, visualisation, and modelling. Collaborating with tech experts to build scalable tools, securing funding through startup schemes, and staying updated on the latest technologies and trends are key steps in transitioning from analyst to entrepreneur.
Physically Disabled (Mobility Impairments)
Hearing Impairments
Visually Impaired (Partially Sighted)
Neurodivergent (e.g., Autism, ADHD, Dyslexia)