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Visit Our ABCD PageAditya Birla Capital Limited (“ABCL”) is a listed systemically important non-deposit taking Non-Banking Financial Company (NBFC) and the holding company of the financial services businesses. Through its subsidiaries/JVs, ABCL provides a comprehensive suite of financial solutions across Loans, Investments, Insurance, and Payments to serve the diverse needs of customers across their lifecycles. Over 1,482 branches and more than 200,000 agents/channel partners along with several bank partners.
Nationwide Branches
1,482No. of Employees
59,000Agents/Channel Partners
2,00,000+Aggregate Assets
INR 3,550 BillionActive Customer Base
39 MillionConsolidated Lending Book
INR 699 BillionFind customised home loan solutions for your unique needs
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Aditya Birla Capital Limited (“ABCL”) is a listed systemically important non-deposit taking Non-Banking Financial Company (NBFC) and the holding company of the financial services businesses. Through its subsidiaries/JVs, ABCL provides a comprehensive suite of financial solutions across Loans, Investments, Insurance, and Payments to serve the diverse needs of customers across their lifecycles. Over 1,482 branches and more than 200,000 agents/channel partners along with several bank partners.
Nationwide Branches
1,482No. of Employees
59,000Agents/Channel Partners
2,00,000+Aggregate Assets
INR 3,550 BillionActive Customer Base
39 MillionConsolidated Lending Book
INR 699 BillionCorporate Governance Policies
Financial and Debt-Related Policies
Business and Partnership Policies
Money management made easy
Understanding direct and indirect taxes
Know how to plan retirement well
Insurance and it's aspects for laymen
Investments and their jargon - simplified
Know all about loans and their management
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Data has become a foundational aspect of modern business that is essential for driving informed decisions. Today, it is crucial for companies across varied industries to utilize data efficiently in order to optimize operations, gain a critical edge and stay ahead of the curve. Here’s where the need for data analytics arises. It plays a pivotal role in extracting actionable insights from large datasets, identifying patterns and predicting future trends. This can bring about transformative changes across various aspects of a business, helping them mitigate risks and make profitable investment decisions.
For example, in finance, using data analytics can help with fraud detection by analyzing transactional data and identifying suspicious patterns, keeping banking and financial activities safe from scams.
Here, our focus is on getting a deeper understanding of data analytics - examining its diverse applications, types and the essential skills required to establish a successful career in the financial services industry.
What is Data Analytics?
Data analytics can be best described as the process of examining, refining and structuring raw data to extract valuable insights. It involves using a set of statistical and computational techniques to derive useful information from large amounts of data. Embracing data analytics can help businesses understand their customers at a deeper level, solve persisting challenges and make informed decisions for the betterment of the organization.
Modern financial institutions are increasingly adopting a data-driven approach to streamline operations, boost profitability, manage risks and foster growth. For example, personal finance companies can use data analytics to analyze customer information such as income, spending habits and financial goals. Utilizing this data can help them offer personalized financial planning advice and recommendations that will enhance customer satisfaction.
It is crucial to recognize a common misconception that arises between the concept of data analysis and data analytics. The key difference lies in their objectives - while analysis involves the study of data, analytics uses these findings to improve decision-making processes. Put simply, data analysis is theoretical, whereas data analytics is notably practical.
Types & Applications of Data Analytics
Data analytics encompasses several distinct types, each of which is tailored to a different objective. Here we have outlined the four major types of data analytics to help you get a better understanding of how it works.
Data analytics is widely utilized across different business sectors and industries. Here’s an overview of the key industries where data analytics plays a significant role.
Understanding the Role of A Data Analyst
A data analyst is a skilled professional equipped with a blend of analytical skills, technical expertise and business acumen. They are responsible for mining data to unveil useful patterns and actionable insights for strategic decision-making and problem-solving. For a more clear understanding, let’s explore the core responsibilities of a data analyst:
Essential Skills to Become A Data Analyst
To establish your career as a data analyst, you will need a variety of skill sets that include technical skills and soft skills. Additionally, you should have a flair for mathematics, a solid understanding of data visualization techniques along with strong communication skills across multiple formats.
Here are some technical skills for data analysts:
Here are some soft skills for data analysts:
Data Analyst Career Paths
The ideal career path for a data analyst ideally begins with a Bachelor’s degree in fields such as computer science, mathematics, statistics or economics. An entry-level applicant will typically be hired as a junior analyst or business analyst, where foundational skills are built. As you gain experience and build core data analyst skills, you may encounter opportunities to expand your career in the field.
Based on your goals and interests, you may evolve into a data scientist, consider senior or managerial level roles, explore consultancy or a more specialized data role. With advanced programming skills, a deep understanding of advanced mathematics and ML, you can grow your career as a data scientist. Management roles include senior-level analyst, financial analyst or director of analytics, which have a core focus on leadership skills. For instance, specialization in financial analysis needs a deep understanding of finance principles and may require additional certifications such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM).
At Aditya Birla Capital <hyperlink: https://www.adityabirlacapital.com/careers/life-at-abc/values>, we emphasize the integration of cutting-edge data analytics techniques to drive business growth and success. We’re dedicated to fostering talent in data analytics https://www.adityabirlacapital.com/careers, offering avenues for career growth. Mastering data analytics skills opens the door to joining our dynamic team, where you’ll play a pivotal role in making data-driven decisions and set new benchmarks for excellence in our industry.