Associate Manager - Analytics

Location: Gurgaon, Haryana (Hybrid)

About Us

Indus Insights is a cutting-edge Data Science and Advanced Analytics consulting firm. The firm focuses on the banking, fintech and Insurtech sectors, where it adds value in marketing, pricing, risk, valuations, collections, and loyalty analytics. Indus Insights has been in business for more than a decade and has clients across four continents. Clients include one of the top 3 consumer lenders in the US, a "Big Four" bank in Australia, two of the top 30 global banks, one of UK's top 15 auto insurers, one of America's largest fuel cards companies, a leading publicly-listed Australian fintech company, most of the large banks in Singapore, one of the top 5 US airlines, and a variety of other companies in the BFSI sector. Indus Insights is led by seasoned veterans with decades of experience in blue chip companies such as Capital One, Bain, HSBC, Citibank, Mercer, etc. The firm has an all-star team of more than 150+ people, with nearly everyone being a graduate of one of the top IITs, IIMs, and similarly competitive programs. Indus Insights is headquartered in Gurgaon, with a satellite office in Philadelphia, US. The firm has been growing rapidly, with a six-year revenue CAGR of nearly 50%, while maintaining healthy profitability throughout. Indus Insights raised Rs. 50 Cr of growth capital funding in summer '22, as it enters the next phase of its growth

Why Indus

Employees of Indus Insights describe three key features that make them most excited about Indus

- Diversity of work: The firm rotates employees across clients every 12-18 months, ensuring their continuous learning by giving them exposure to different countries, client organizations, products, and functional areas

- People & Culture: Employees love the experience of working with team members who are all exceptionally bright and fun at the same time; Work culture is collegial, fast-moving, and non-bureaucratic

- Professional Development: The firm makes a priority of investing in the development of its people. This happens through formal training programs on hard skills (such as R, Python, Machine learning, etc.), external faculty led initiatives on soft skills such as communication, and on-the-job training in areas such as team leadership, stakeholder management, effective prioritization, etc.

- Not surprisingly, employees give the company stellar scores in internal satisfaction surveys, with an average score of 4.4 or higher (on a scale of 1-5, with 5 being the best) on parameters such as 'likelihood to recommend Indus', trust in leadership', excitement about being at Indus' etc.

More Details : Indus Insights_YouTube Channel

Purpose of the Position

Create phenomenal value for our global clients using Advanced Analytics & Data Science. Achieve this by leading high-caliber team(s) of analytics professionals, providing them with the right blend of guidance & independence. Ensure high levels of talent density in the firm and nurture our unique culture.

Key Responsibilities

Client Management: Lead client interaction and be the "face" of the firm for the client. Understand client context & priorities, question status-quo, present findings & recommendations, incorporate feedback, co-create solutions, brainstorm opportunities, develop client trust, and in-general be the "go to" person for all analytics-related client conversations.

Analytical Delivery: Be the final "owner" of analytics delivery. Create analytical road map for the engagement, bring first-principles thinking, provide guidance to the team, ensure error-free work, recommend appropriate methodologies, and provide flawless project management.

Organizational Development: Assist with recruitment activities, provide inputs into Learning and Development, be a change agent & identify internal innovative area, assist leadership with sales pitches, etc.

Experience and Professional Qualifications

- Bachelor of Technology/ Economics/ Commerce/ Statistics or Postgraduate with MBA from a top institute/ university.

- Minimum of 3-4 years of Core Analytics experience.

- Hands-on experience in managing large datasets (using tools such as SQL, SAS, etc.), developing statistical models (using SAS, Python, R etc.), performing analyses using Excel (Pivot Table etc.), and presenting ideas (using PowerPoint). Some exposure to BI tools (such as Power BI, Tableau, etc.) will also be relevant

Professional Skills

- Analytical & structured thinking mindset

- Comfort with questioning the status quo

- Willingness to travel to client locations and build trusting client relationships (expect ~1 international trip every quarter)

- Adept at top-down communication

- Committed to own and others' development

- Approachable, open to alternate viewpoints, and welcoming towards constructive feedback

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