Data Analyst

PeopleStrong; Thane; On-site; INR 800,000 - 1,600,000; Full time

Job summary

AB Housing Finance Limited is seeking a skilled data analytics professional for its Analytics department in Thane. The role emphasizes data extraction, cleansing, and building analytics solutions to support business planning and performance measurement.

The candidate should be proficient in Python, SQL, and Power BI, with strong data modeling and visualization capabilities. Prior exposure to credit risk analytics or retail lending is beneficial, and 2–4 years of experience in data tech is

Qualifications

• Bachelor-level analytics or related field preferred.
• Strong SQL and data wrangling skills required.
• Experience with advanced analytics, reporting, and data visualization.
• Proficiency in Python and BI tools for data modeling and insights.
• Knowledge of credit risk analytics or retail lending is a plus.

Responsibilities

• Collaborate with teams to collect data for timely analysis and reporting.
• Own data extraction, cleansing, and validation for analytics use.
• Develop analytics solutions and data-driven insights to measure efficiency.
• Explore industry best practices and drive data-informed planning and strategy.
• Prepare dashboards and reports using Python libraries and Power BI.

Skills

Microsoft SQL Server

Data Analysis

SQL

Business Analysis

Analytics

Market Research

Project Management

Education

Graduate Diploma

Tools

Python

Power BI

SciPy

NumPy

Pandas

Matplotlib

seaborn

TensorFlow

Keras

Job description

BUSINESS_UNIT-1 AB Housing Finance Limited

BUSINESS_UNIT-2 AB Housing Finance Limited

BUSINESS_UNIT-3 AB Housing Finance Limited

DEPARTMENT-1 Analytics

Country India

State Maharashtra

Worksite G-Corp Tech Park, Thane

Skills

Skill

Microsoft SQL Server Data Analysis SQL Business Analysis Analytics Market Research Project Management

Graduate Diploma

CERTIFICATION

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