Data Science Analyst - Sustainability & Marketing

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.

POSITION DESCRIPTION

KKR is building out an enterprise data group to collect, manage, and harness the power of data across our diverse portfolio investments. Reporting into the Global Markets Operations team, this group will help ensure all KKR data is accessible, consumable, and drive the curation of insights across the organization.

The KKR Data Operations group is seeking an experienced data professional to partner in the development and maintenance of data management and reporting across various verticals at the firm, including but not limited too Sustainability, Communications, Marketing, Public Reporting, Citizenship, Public Affairs, Sustainable Credit, etc. Success in this role will ensure all KKR data is accessible, consumable, and to drive the curation of insights across the organization.

This is an opportunity to assist in the creation, and ultimately take ownership of, data management processes aimed at ensuring clean and quality data, which is integral to the success and growth of the business. Strategic, analytical, and collaborative, this team member will work alongside a small, entrepreneurial team to implement, maintain, and manage portfolio monitoring and reporting data as well as processes. They will become the admin and specialist of various data platforms and drive strategic data mining initiatives in service of these different verticals. In addition, they will assist the team leads in identifying broader data operations and analytics themes that influence broader external messaging and internal storytelling and status tracking.

RESPONSIBILITIES

Data Management & Creation:

• Partner with Communications and Global Market Operations Analytics and Technology teams on the creation of relevant data models, including the ingestion of data from source systems into the KKR Snowflake instance and curating the relevant business logic needed for reporting.
• Implement and own the best-in-class data governance practices; ensuring that data is well defined & transparently documented (what data exists, where does it exist, and how is it being used).
• Collaborate with engineering and make recommendations to integrate external systems into the KKR Snowflake instance and improve dataflow between external systems.

Data Reporting:

• Reporting platform management: Responsible for the operations, maintenance and enhancements of existing (and future) external reporting platforms, including facilitating automated data collection and reporting within the platform tools (e.g. Workiva). This will require partnering with several teams (Sustainability, Impact, etc.) on curating data for the reports they are currently generating via the Workiva platform.
• Collaborate with Head of Sustainable Credit on Sustainability Data Collection and reporting across KKR Credit Funds.
• Work with the Public Affairs team to visualize and present relevant analytics and reporting needed for internal and external meetings.

Data Integration & Thought Leadership:

• Point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner.
• Drive and support development of advanced analytical capabilities.

PRIMARY QUALIFICATIONS AND SKILLS

Technical:

• Bachelor’s degree or higher in Information Systems, Data Analytics, Accounting, Finance, Business, or other related fields; and/or relevant industry experience in financial data analysis.
• 3+ years of relevant experience with an financial services organization, bank, accounting group, or multi-strategy hedge fund working with reference and transactional data and/or financial analysis.
• Advanced analytical & data visualization capabilities (with proficiency in using Power BI or similar tools to support those analyses & data visualizations) are required.
• Strong Python skills required.

Drive:

• Understanding and/or interest in financial datasets, asset management, financial statements, and basic accounting concepts.
• Capable of, and interested in, developing a deep understanding of the business to play a key strategic role.

Core:

• Excellent written and verbal communication skills; detail oriented with strong analytical and quantitative skills, coupled with qualitative insight.
• Collaborative and active contributor, with a “roll-up-your-sleeves” attitude in a fast-paced environment.
• Maturity and sound judgment, exhibiting an ability to thrive in cross-functional and cross-business unit settings.
• Proven ability to manage demands of multiple projects in a fast-paced work environment, including ability to prioritize time efficiently and handle competing priorities while remaining connected to the details.
• High level of intellectual curiosity, accountability, and drive; self-motivated with the ability to work autonomously.
• Aptitude for critical and creative thinking across the quantitative and qualitative spectrum.

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