Job Description: Program Structure: Blackstone's Private Equity, Tactical Opportunities, and Real Estate groups are looking for Data Science Analysts to join their Portfolio Management Program (PMP) starting in June 2019. The program begins with a three to six month training period at Blackstone's New York City office with hands-on experience working with Blackstone's Data Science team. The training period is followed by two years of rotational assignments on location at various Blackstone portfolio companies, working with company management teams to accelerate their analytical journey and provide a competitive advantage through data analytics. The program is designed to offer accelerated career growth through diverse experiences at portfolio companies in multiple industries. During each assignment, participants will live and work in different geographic regions while building expertise in developing analytical practices and gaining exposure to key business functions and leaders. Program participants will be focused on driving tangible business value and are expected to be a leader within their company in fostering best practices around analytics, data visualization, and data-driven decision making. A PMP Data Science Analyst will focus on all stages of the data science life cycle. They are expected to own business intelligence, statistical analysis, and the streamlining of decision making processes through systematized scripts, and data visualization. They will work directly with company management as well as operating and technology professionals. The ideal candidate is passionate about the analytics process, has experience working with a diverse set of datasets and within a variety of environments, and has experience delivering business value from unstructured objectives. Successful candidates will be intellectually curious with a strong business acumen, fast learners comfortable in a fast-paced environment, and articulate communicators. This is a high visibility role with an ability to quickly effectuate change through data analytics.
Assignments will vary by company, but in all companies they will serve as an analytics leader within their business unit or functional area
Locations may be domestic or international depending on need and availability
Individual assignments vary from 6 to 18 month commitments, and participants are expected to complete two years of rotations in aggregate
To ensure participants' support and growth, PMP analysts will be paired with mentors, attend annual PMP conferences at the Blackstone office, and will attend networking sessions within Blackstone
Post-program career opportunities include a permanent role at a portfolio company, a position within Blackstone, or additional rotations at other portfolio companies
Two to three years of work experience in a data-driven professional setting as a data scientist, data/business analyst, or data engineer
Undergraduate degree from a top-tier university, with a strong preference for a technical degree
Data analysis experience in Python and SQL, and experience with data visualization tools such as Tableau or PowerBI
A strong intuition for analytical methodologies and desire to solve novel technical challenges
Ability to communicate effectively both orally and in writing
Ability to adapt to new challenges in a dynamic and fast-paced environment while managing multiple projects
Self-starter who can work independently and meet deadlines with minimal oversight
Keen attention to detail
Ability to prioritize deliverables and meet demanding deadlines
Ability to work well within a team or independently
Strong command of Microsoft PowerPoint, Excel, and Word
Willingness to relocate based on assignment is a requirement
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
The Blackstone Group and its affiliates provide equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.
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Internal Number: 6084415
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