Data Analyst

ABC - Aditya Birla Housing Finance Limited; Maharashtra; On-site; INR 900,000 - 1,500,000; Full time

Job summary

ABC - Aditya Birla Housing Finance Limited is seeking a data professional to collaborate with multiple teams, collect and cleanse data, and build analytical solutions to measure process efficiency.

The role requires strong Python and SQL skills, experience with Power BI, and a passion for applying data science to credit risk, retail lending, and business planning. The candidate should be self-driven and able to multitask in a fast-paced environment.

Qualifications

• Hands-on Python programming with data extraction, processing and cleansing.
• Advanced SQL knowledge and experience working with relational databases.
• Strong data structures and algorithms.
• Experience with data modeling and analytics design.

Responsibilities

• Collaborate with teams to collect data for timely analysis and reporting.
• Take ownership of data extraction, processing, cleansing, and verifying data integrity for analysis.
• Design, develop, and deploy analytical solutions; build data-based insights to measure efficiency and effectiveness of processes.
• Stay current on industry best practices; identify trends impacting analytics and data processes.
• Experience with Python packages (SciPy, NumPy, Pandas, seaborn) is mandatory; ML packages are a plus.
• Advanced Power BI skills for interactive dashboards and data integration are required.

Skills

Python programming

SQL

Data structures & algorithms

Power BI

NumPy

Pandas

SciPy

Matplotlib

TensorFlow

Keras

Tools

SciPy

NumPy

Matplotlib

Pandas

seaborn

TensorFlow

Keras

Job description

Job Description

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.
• 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 learing model development is good to have but not essential.
• Any experience in credit risk and retail lending is good to have but not essential
• 2-4 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