At a Glance
- Tasks: Drive data visualisation adoption and create impactful analytics solutions.
- Company: Join Blackstone, the world's largest alternative asset manager, making a positive economic impact globally.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and professional growth.
- Why this job: Be part of an entrepreneurial team that values innovation and collaboration from day one.
- Qualifications: 7+ years in data visualisation; proficiency in SQL or Python; strong problem-solving skills.
- Other info: Flexible work culture with a focus on continuous improvement and emerging technologies.
The predicted salary is between 43200 - 72000 £ per year.
Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.
Business Description: Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency and improve transparency within the firm and across our broad community of investors and portfolio companies. BXTI is nimble and entrepreneurial – our open, agile design processes and rapid pace of development means that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.
Job Description: As a data analyst focused on data visualization, you will drive the adoption of visualization technology at one of the world's leading investment firms. This includes utilizing a full suite of business intelligence tools based on Tableau software and a growing cloud data warehouse connected to robust data pipelines. The team is responsible for designing, developing, and curating golden-copy analytics datasets from diverse sources. These systems empower data scientists and analysts to make informed, high-quality decisions within the firm and across Blackstone's portfolio companies. Given the scale of Blackstone's investments and the critical role of data analytics, this is a unique opportunity.
Key Responsibilities:
- Assess high level analytics goals, refine requirements, and build scalable data solutions
- Refine and drive adoption of data visualization best practices throughout the firm
- Develop and enrich relationships with data leads across Blackstone
- Facilitate Proof-of-concept (POC) engagements, draft business designs (requirements), and establish project-specific resourcing plans.
- Draft, manage and constantly improve all Standard Operating Procedures (SOPs) related to data visualization, including Tableau server access control, site administration, content curation, etc.
- Participate in bi-weekly sprint planning meetings and daily standups
- Optimize/troubleshoot data products for maximum performance and scalability.
- Conduct project reviews and provide constructive feedback to team members.
- Stay up-to-date with emerging technologies and industry trends to continuously improve development practices.
Qualifications:
- 7+ years of data visualization/analytics experience preferred on platforms such as Tableau, Sigma, PowerBI, Looker, etc.
- Capacity to work within complex systems and large data sets via SQL or Python
- Entrepreneurial attitude and ability to quickly adapt to new technologies
- Player/coach mentality with desire to mentor junior members and adjacent teams
- Excellent problem-solving skills and attention to detail
- Articulate communicator in engaging technical staff and business partners
- Bachelor’s degree or higher in STEM or quantitative discipline preferred
Preferred Skills:
- Full spectrum experience with modern data platforms (Snowflake, dbt, Sigma, Alation).
- Proficient with ETL platforms such as Fivetran and Prefect
- Hands on experience with data lineage and observability platforms
- Knowledge of Agile methodologies and project management tools (JIRA, Trello).
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to 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 class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
Blackstone Technology and Innovations - Data Analyst - AVP employer: JobFlurry
Contact Detail:
JobFlurry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Blackstone Technology and Innovations - Data Analyst - AVP
✨Tip Number 1
Familiarise yourself with the latest trends in data visualisation and analytics. Since the role focuses on tools like Tableau, showcasing your knowledge of these technologies during networking or interviews can set you apart.
✨Tip Number 2
Engage with Blackstone's online presence. Follow them on LinkedIn, Twitter, and Instagram to stay updated on their projects and culture. This will help you tailor your conversations and demonstrate genuine interest in the company.
✨Tip Number 3
Network with current or former employees of Blackstone, especially those in data roles. They can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 4
Prepare to discuss your problem-solving skills and experiences in detail. Given the entrepreneurial nature of the BXTI team, being able to articulate how you've tackled complex data challenges will resonate well with the hiring managers.
We think you need these skills to ace Blackstone Technology and Innovations - Data Analyst - AVP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data visualization and analytics. Focus on your proficiency with tools like Tableau, SQL, and Python, as well as any entrepreneurial projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Blackstone and how your background aligns with their mission. Mention specific experiences where you've driven the adoption of data visualization best practices or mentored junior team members.
Showcase Relevant Projects: If you have worked on significant projects involving data visualization or analytics, summarise these in your application. Highlight your role, the technologies used, and the impact of your work on decision-making processes.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to data analytics or emerging technologies. This shows your commitment to staying updated in the field and your ability to adapt to new tools and methodologies.
How to prepare for a job interview at JobFlurry
✨Showcase Your Data Visualisation Skills
Since the role focuses heavily on data visualisation, be prepared to discuss your experience with tools like Tableau, PowerBI, or Sigma. Bring examples of your previous work that demonstrate your ability to create impactful visualisations and explain the thought process behind them.
✨Understand Blackstone's Business Model
Familiarise yourself with Blackstone's investment strategies and how data analytics plays a role in their decision-making process. This knowledge will help you articulate how your skills can contribute to their goals and show that you're genuinely interested in the company.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical thinking and how you can apply these skills to optimise data products at Blackstone.
✨Emphasise Collaboration and Mentorship
Given the team-oriented culture at Blackstone, be ready to talk about your experiences working in teams and mentoring others. Share examples of how you've contributed to a collaborative environment and helped junior members grow in their roles.