Business Intelligence Engineer, AlpInvest Technology
Listed on 2026-06-18
-
IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Engineering, Data Warehousing
Location: New York
Business Intelligence Engineer, Carlyle Alp Invest Technology
Location:
New York/340
Line of Business:
Global Technology & Solutions
Job Function:
Investor Services
Date:
Friday, March 6, 2026
Position SummaryCarlyle Alp Invest is seeking a highly analytical and hands‑on Business Intelligence Engineer to help elevate how data drives insight, decision‑making, and value creation across the platform.
This role is designed for a technically strong BI professional who thrives at the intersection of data engineering, analytics, and stakeholder engagement. This is not a pure oversight role, we are looking for someone who remains deeply hands‑on in data modeling, dashboard development, and insight generation.
Responsibilities- Translate complex business questions into scalable analytical solutions.
- Proactively identify opportunities where data can drive better investment, portfolio, operational, or strategic decisions.
- Move beyond dashboard production to generate actionable insights that influence senior stakeholders.
- Elevate reporting from descriptive metrics to forward‑looking, insight‑driven analysis.
- Design, build, and maintain scalable data models to support enterprise‑level reporting and analytics.
- Develop intuitive, high‑impact dashboards and visualizations (Power BI preferred).
- Partner with data engineering to ensure clean, reliable, well‑modeled datasets.
- Implement best practices in semantic modeling, performance optimization, and governance.
- Support the evolution of a modern BI ecosystem with reusable, scalable assets.
- Build robust dimensional and analytical data models.
- Work with modern transformation frameworks (dbt experience preferred).
- Ensure data quality, documentation, and lineage.
- Contribute to standards around data definitions and metric consistency.
- Experience in creating semantic models for AI services a plus.
- Act as a thought partner to investment, portfolio, and operational teams.
- Gather requirements through structured engagement while challenging assumptions where needed.
- Manage competing priorities across stakeholders with clarity and discipline.
- Present findings clearly to both technical and non‑technical audiences.
- Help foster a data‑driven culture across Carlyle Alp Invest.
- Operate with a manager mindset — setting standards, mentoring junior team members, and improving ways of working.
- Contribute to the long‑term BI and analytics roadmap.
- Balance strategic thinking with execution excellence.
- Bachelor’s Degree, required
- Degree in Computer Science, Data Science, Finance, Business, or a related field, preferred
- Minimum of 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Analytics roles.
- Experience working in financial services, asset management, private markets, or complex enterprise environments a plus.
- Proficiency in programming languages (e.g., Python, R, SQL), dashboarding tools (e.g., Power BI, Tableau), and data management platforms. Strong knowledge of data architecture, automation, and system integration.
- Familiarity with cloud data platforms (e.g., Snowflake, Azure, AWS, GCP) preferred.
- Exceptional problem‑solving skills with a track record of using data to derive insights and drive decision‑making.
- Strong interpersonal and communication skills, with the ability to translate technical concepts into actionable business strategies for senior leadership.
- Ability to lead projects and collaborate across diverse teams, including non‑technical stakeholders.
- Comfortable working in a fast‑paced, high‑stakes environment with an ability to manage multiple projects and deadlines.
The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $160,000 to $180,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time…
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