Sr Business Analyst
ID do trabalho
56301
Publicado
24-Mar-2022
Linha de serviço
Advisory Segment
Tipo de função
Período integral
Localização(ões)
Bengaluru - Karnataka - India

Sr Business Analyst

Business Line: Property Management

Reports To: Business Analytics Manager (Property Management – Global Operations) 

JOB SUMMARY

We are seeking a data analyst to join the Global Transformation team within Property Management. We are looking for someone with a keen eye for detail and interest in applying their findings to real problems. By uncovering patterns in our vast array of real estate data you will develop a deep understanding of the business to then implement and deliver value to our clients.

To be successful in this role must have a passion for learning and problem solving. While no property experience is required, an entrepreneurial and business-focused mindset will elevate your application.

Responsibilities:

  • Turning data into meaningful business insights by answering questions relating to the day-to-day operations of the property management business unit
  • Exploring large existing data stores to discover insights
  • Data transformation and modelling to feed automated reports
  • Working with the data visualisation team to communicate insights to business stakeholders
  • Assist in creating and maintenance of a data analytics ecosystem
  • Opportunities to conceive, work on and pitch innovative data strategies for deployment across large property portfolios

Requirements:

  • Undergraduate degree in a quantitative field (Accounting, Statistics, Computer Science, Engineering etc)
  • Programming experience (Python, R or Julia) required
  • Knowledge of data structures and relevant query languages
  • Proficient in Excel for ad-hoc analysis and presenting findings

    Experience in end-to-end data projects covering all stages from problem statement to end recommendations (can be demonstrated through Kaggle challenges, university or personal projects)

     Data cleaning and feature engineering skills

    Regression, classification and/or predictive model development experience desirable