6 Indus Insights Jobs

Experience: 0-1 year of analytics experience or a passion to start a career in analytics

Location: Gurgaon, Haryana (Hybrid)

Joining: Looking for immediate joiners who can start before 31st March 2025

Roles and Responsibilities

Drive analytics projects for our clients

• Translate broad business problems into clear, coherent frameworks
• Deploy a complex toolkit a of problem-solving approaches, participate in brainstorming sessions with the team
• Manipulate, merge, or create hygienic datasets from a variety of sources; be the subject-matter expert on client data and trends
• Use advanced statistical techniques (regression, machine learning) to create predictive algorithms, economic valuation models, perform impact sizing, stress testing. Evaluate their performance and finetune them to suit business needs
• Combine insights from data and deep business understanding to create business cases and share recommendations with CXOs
• Independently write & parse complex SQL/Python code

Client and Project Management

• Work directly with client maps to understand the business context and data trends
• Partner with them to address data issues and ensure consistency between data trends and actual business performance
• Present findings, updates, and recommendations to clients on a periodic basis
• Ensure smooth delivery of the project, provide periodic updates to Indus leadership & to clients, highlight roadblocks, etc.

Other Activities

• Be involved in hiring activities of Indus or other internal workstreams, such as internal R&D projects, business development assistance, training sessions, etc.

Sample Business Problems Addressed

We develop sophisticated predictive models & machine learning algorithms for our clients, and act as their extended teams for ongoing analytical needs. Our focus is the financial services sector, where we add value in marketing analytics, customer management analytics (churn, lifetime value modelling, next-best-offer, etc.), and analytics in credit risk, pricing collections & fraud areas.

• Reducing the cost of operating airlines by creating accurate and optimized schedules
• Reducing losses for lending firms by creating machine learning-based models to identify high risk borrowers
• Increasing marketing effectiveness by targeting customers likely to use the credit card being offered

Key Expectations & Professional Qualifications

• Bachelor of Technology/ Economics/ Commerce/ Statistics or Postgraduate with MBA from a top institute/ university Competency
• A curious person with a drive to solve business problems
• Someone with an entrepreneurial mindset & humility
• Be inclined to be a part of a high growth company
• Highly collaborative in nature and drive excellent relationships
• Ability to manage/interact with global stakeholders (internal & external)
• Preferably skilled or keen interest to learn tools such as Tableau, Power BI, SQL, Python, Excel etc.