Data Analyst
Aditya Birla Capital · State of Mahārāshtra, India
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Aditya Birla Capital · State of Mahārāshtra, India
Responsibilities Data Analyst - Roles and Responsibilities Business Objectives Recommendations • Collaborate with various teams to collect business data to complete timely analysis/Reporting. • Take ownership of data extraction, processing, cleansing, and verifying the integrity of data used for analysis Design, develop, and deploy analytical solutions, build data-based insights (qualitative and quantitative) to measure the efficiency and effectiveness of business and data processes. • Explore and stay current on industry best practices, bringing insights and ideas to help drive and shape future strategy and business planning; Identify key industry trends and how they impact the business / analytics & data processes. Competencies • Hands-on experience of Python programming (such as different objects, class & instance variables, multiple inheritance, generator etc) and multiple packages (such as SciPy, NumPy, Matplotlib, Pandas, seaborn etc) is mandatory, and any packages related to statistical/Al-ML (such as Tensorflow, Keras etc] is good to have. • Hands-on experience of advance level of Power BI (such as interactive UI/UX Features, Data integration, Customizable dashboards etc) is mandatory • Should be self-driven, highly motivated and possess excellent multitasking skills. • Should be passionate about solving business problems with use of data, algorithms, analytics and technology. • Any experience related to statistical/machine learning model development is good to have but not essential. • Any experience in credit risk and retail lending is good to have but not essential Experience • 2+ years of industry experience in data technology space as an individual or team contributor. • Strong in data structures and algorithms • Programming experience in Python • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) • Familiar with data model development is preferred. • Experience in credit risk analytics, retail lending or any of one financial service is preferred