Data Analyst

Data Analyst

Albany Beck is a consultancy dedicated to delivering tailored talent and operational solutions to our clients across Financial Services and beyond. We partner with top-tier financial institutions to deliver expert consulting and transformation services. Our collaborative approach places experienced professionals in high-impact roles, helping our clients to navigate complex challenges and realise strategic outcomes.

Role Overview:

We are seeking a highly skilledData Analystwith deep expertise inPower BIto join our growing analytics team. The successful candidate will play a key role in designing and delivering insightful dashboards, automating reporting processes, and supporting the implementation ofcutting-edge AI toolsacross the firm’s investment and operational workflows.

Key Responsibilities:

• Develop, maintain, and optimize Power BI dashboards and reports to support investment decision-making and portfolio management.
• Collaborate with deal teams, portfolio managers, and operations to understand business needs and translate them into analytical requirements.
• Assist in the design and implementation of AI-powered tools for predictive analytics, risk assessment, and operational optimization.
• Extract, clean, and model data from various internal and external sources, including CRM systems, financial platforms, and portfolio company data feeds.
• Identify trends, anomalies, and opportunities within large datasets to support investment theses and value creation plans.
• Contribute to the automation of manual processes and standardization of reporting across portfolio companies.
• Support data governance and ensure data integrity and accuracy across reports and analytical models.

Qualifications:

• Bachelor’s degree in a quantitative field such as Data Science, Finance, Economics, Computer Science, or related discipline.
• 3+ years of experience in a data analytics role, ideally within private equity, investment management, or financial services.
• Expert-level proficiency in Power BI, including DAX, Power Query, data modeling, and visualization best practices.
• Strong SQL skills; familiarity with Python or R for data analysis is a plus.
• Experience or keen interest in AI/ML tools, such as automated forecasting, NLP, or machine learning platforms.
• Solid understanding of financial and operational KPIs, especially those relevant to private equity and portfolio performance.
• Ability to work independently and collaboratively in a fast-paced, high-expectation environment.
• Excellent communication skills to convey insights to non-technical stakeholders.