COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drives organization wide process efficiency and transformation, and reflects KKR's global culture and values of teamwork and innovation. The office contains multifunctional business capabilities and is integral in furthering the growth and transformation of KKR.

TEAM OVERVIEW

KKR's Technology organization is a group of passionate technologists, enthusiastic about solving complex problems in ways that are beneficial not just for ourselves, but for the entire Firm. There are always opportunities to learn about the various alternative investment businesses in KKR and the technologies that are crucial to each of these businesses' success. By cultivating a helpful and friendly culture, business problems faced by technologists are sponsored and supported by business constituents that are keen on working together to help come to an efficient and broadly robust solution for all involved.

POSITION SUMMARY

KKR is looking to add an experienced SAP Data Sphere Data Senior Analyst to its growing Corporate Finance Technology team. As a SAP Data Sphere Data Analyst, you will be leveraging your expert knowledge on SAP Data Sphere architecture and frameworks to help develop the data models within KKR’s SAP Data Sphere instance and related data applications supporting our Corporate Finance business teams across segments and regions. You will contribute to the enterprise’s operational reporting, strategy, and execution plans to grow and expand the existing capabilities of operational reporting to enable business growth and improve adoption. This will involve working closely with the business stakeholders, leadership, and technology peers to identify, develop and deploy new reporting capability across multiple business units globally. This role is highly visible and will come with the opportunity to identify, own, and execute creative product solutions for a best of breed CRM experience that will also enable KKR to rapidly scale and enhance its operational reporting.

The ideal candidate is excited by fast-paced environments and accountability that comes with working in a fast paced environment. The candidate obsesses about making product experiences intuitive and prioritizes the users’ best interest in decisions. Our perfect candidate also will have strong bias for action and pays close attention to detail, ensuring that we deliver results and impact on the client and end-user experience.

QUALIFICATIONS

Bachelors degree in Computer Science, Information Technology or other technology related field (or equivalent work experience)
4 - 6 years of functional & technology experience in SAP environment focused on SAP S/4Hana Cloud, SAP Datasphere, SAP Analytics Cloud & SAP BW
Advanced Excel skill, programming knowledge of SQL , Python, C++ required
Knowledge of Finance Industry and Financial reporting is critical
Ability to work independently and as part of a team with a strong commitment to delivering high-quality results
Excellent organizational skills, attention to detail and strong verbal and written communication skills

CRITICAL COMPETENCIES FOR SUCCESS

Develop, manage & support operational financial reporting and analytics
Work closely with Corporate Finance business users to understand business needs and translate them into data solutions.