Business Intelligence Analyst – Data Engineering & Analytics

Business Intelligence Analyst – Data Engineering & Analytics

May 22, 2025

Founded in 1994, The London Company is a majority employee‑owned investment management firm serving institutional, sub‑advisory, and wealth clients and their intermediaries around the world. Strategies focus on equity management across all market capitalizations. At the heart of the Firm’s investment principles is a belief that markets are much less efficient at assessing risk than reward. A focus on downside protection is the hallmark of the Firm’s singular and differentiated investment process that relies on facts and not speculation.

This disciplined and transparent approach has produced a growing and diversified client base.

The London Company is seeking a Business Intelligence Analyst to play a critical role in supporting multiple departments through big data, automation, AI, and advanced analytics. This position will focus on data engineering, ETL processes, analytics, and visualization to optimize workflows and enhance decision‑making, process automation, and risk management across the firm.

The ideal candidate is technically skilled, highly analytical, interested in financial markets and investing, and passionate about leveraging data to drive business insights. This role offers cross‑departmental exposure, hands‑on work with large datasets, and the opportunity to develop AI‑driven solutions. If you thrive in a collaborative, problem‑solving environment and are eager to explore innovative data projects, this is an exciting opportunity to make an impact.

• Manage and optimize ETL pipelines to clean, process, and integrate data from multiple sources into the firm’s data warehouse.
• Design and execute complex SQL queries to extract, clean, and structure large datasets.
• Ensure data normalization and consistency across structured and unstructured datasets, maintaining high performance and availability.
• Oversee data ingestion from external vendors and internal systems, ensuring seamless access to high‑quality data.
• Implement data governance, security, and validation processes to maintain data integrity.
• Design and maintain interactive Tableau dashboards that provide real‑time insights across departments.
• Collaborate with business units to understand their analytical needs and provide tailored solutions.
• Continuously improve data visualization standards, ensuring effective storytelling with data.
• Enhance reporting capabilities by integrating advanced analytics.
• Work with stakeholders to identify key performance indicators (KPIs) and translate business needs into data‑driven solutions.

Automation & Workflow Optimization:

• Automate repetitive tasks such as data aggregation, reporting, and model updates to improve efficiency.
• Develop scripts and tools to streamline data workflows, reducing manual interventions.
• Enhance collaboration by integrating real‑time data‑sharing solutions across teams.
• Build tools that help identify and mitigate both known and unidentified risks within investment and operational workflows.
• Monitor and track market trends, operational inefficiencies, and data inconsistencies to proactively address risk exposure.

Cross-Department Collaboration & Strategic Insights:

• Serve as a data and analytics resource across departments, creating tailored solutions based on business needs.
• Identify emerging trends, industry best practices, hidden opportunities, and inefficiencies, offering innovative data insights.
• Work closely with business leaders to translate technical data into strategic business solutions.
• Lead efforts within the firm’s data team to contribute to data governance best practices, query optimization, root cause analysis, and data validation projects.
• Promote a positive, ethical, and compliance‑focused firm culture, reinforcing core values in all aspects of work.

Bachelor’s degree in Computer Science, Data Science, Finance, Economics or a related field.

2-6 years of combined experience across data engineering, business intelligence, and/or data analytics, with exposure to both disciplines preferred. Experience in a financial or…