Business Intelligence Analyst

Join Our Team at Lean Solutions Group (LSG)!

Lean Solutions Group (LSG) is a next-generation solutions provider combining AI-driven automation, industry expertise, and tech-powered talent. Built in the demanding Supply Chain sector, our model now supports 600+ clients across multiple industries, powered by 10,000+ employees in five countries. We help businesses achieve immediate efficiency, long-term resilience, and scalable growth by integrating intelligent technology, optimized processes, and high-performance teams.

At LSG, we believe in your talent and your potential. Join a multicultural, people-first environment where you can grow, sharpen your skills, and unlock new career opportunities. Here, every day brings fresh challenges, collaboration, and purpose.

Our Mission: Transform business challenges into lasting success through purpose-built teams, technology, and expertise.

Our Vision: A world where people, empowered by technology, turn any challenge into a catalyst for growth.

Position Description

The Business Intelligence Analyst is a strong technical professional specializing in Power BI with a focus on driving operational impact. This role is responsible for designing and implementing end-to-end BI solutions, transforming and modeling data, monitoring key performance indicators (KPIs), and identifying trends to support decision-making across operational teams and leadership. The position combines deep analytical rigor with effective presentation skills to translate complex data into clear, actionable business insights.

Functions

• Design and implement end-to-end BI solutions in Power BI Desktop covering data ingestion, transformation, modeling, and visualization autonomously.
• Connect, clean, and transform data from multiple sources (CSV, Excel, SharePoint, databases) using Power Query.
• Design and manage relational data models, table relationships, hierarchies, and build DAX measures to calculate complex KPIs.
• Develop clean, well-organized, business-oriented visual dashboards tailored for operational teams up to executive leadership.
• Continuously monitor operational KPIs, detect positive or negative trends, and issue proactive alerts when significant deviations occur.
• Present structured analytical results and insights to clients and leadership, translating complex data into actionable recommendations.
• Challenge and validate business requirements prior to solution development to ensure the core decision-making need is truly addressed.
• Collaborate with cross-functional departments to gather requirements, understand operational needs, and ensure data consistency and accuracy.

Qualifications and Requirements

• Technical degree, technologist, or professional degree in Systems Engineering, Data, Industrial Engineering, Business Administration, Statistics, Mathematics, Economics, or related fields.
• 1–3 years of hands-on experience in data analysis, reporting, or Business Intelligence roles.
• Demonstrable portfolio or concrete experience developing end-to-end BI solutions in Excel and Power BI.
• Fluent English language proficiency (B2 level or higher, both spoken and written) for international team and client collaboration.

Technical Skills

• Core BI Tools: Power BI (Desktop & Service), DAX (Data Analysis Expressions), Power Query (M), Data Modeling (Star Schemas).
• Spreadsheets & Workflow Automation: Advanced Excel (Pivot tables, complex formulas), SharePoint (Lists, advanced fields, forms), Power Automate.
• Database & Querying (Nice to Have): SQL (Intermediate to advanced queries, table joins, data validation).
• Advanced Tech & Cloud (Nice to Have): Python or TypeScript, Power Apps, DAX Studio, Tabular Editor, Microsoft Fabric, Azure Synapse, Data Lakehouse environments.

Core Competencies

1. Impact Orientation & Consultative Thinking: Ability to turn raw data into actionable insights and offer evidence-based recommendations that drive business decisions.
2. Effective Communication: Clear, structured presentation skills to convey complex analytical findings to both technical and executive audiences.
3. Analytical Thinking & Problem Solving: Skill in identifying patterns, trends, and anomalies, and validating business requirements before building solutions.
4. Attention to Detail & Precision: Rigorous approach to data validation, ensuring consistency, accuracy, and data integrity across all dashboards.
5. Proactivity & Collaboration: Initiative to anticipate data issues and raise alerts independently while working seamlessly with cross-functional teams.