Advanced Analytics Engineer

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🕒 April 1

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Laksys Consulting

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2016

📚 Education

🎯 Recruiter

Consulting • Education • Recruitment

Laksys Consulting is a progressive SAP consulting firm that specializes in Supply Chain Management and Integrated Business Planning (IBP). With a focus on providing high-quality consulting, training, and recruitment services, Laksys Consulting works closely with skilled consultants and client personnel to tailor solutions that meet specific business needs. The company emphasizes continuous improvement, helping clients adapt to the ever-evolving technological landscape while nurturing talented resources through in-house training and recruitment processes.

📋 Description

• Build foundational analytical constructs in Python • Develop reusable Python modules that transform structured datasets into analytical building blocks used across the platform • Create structured analytical outputs that AI systems can reliably interpret • Develop analytical tools that allow the platform’s conversational interface to answer data questions reliably • Collaborate with data platform teams to consume structured datasets from environments such as Databricks • Implement validation logic to ensure analytical outputs reconcile with underlying datasets • Design analytical outputs that maintain clear traceability between source data, analytical computations, and AI-generated explanations

🎯 Requirements

• Extensive experience building production-grade Python systems that analyse structured datasets • Strong SQL skills for working with relational datasets (e.g., Databricks) • Experience building analytical computations such as aggregations, comparisons, trend analysis or variance analysis • Ability to design clear and reusable analytical code structures • Comfortable using Excel to articulate analytical concepts to business users • Experience working with financial or insurance datasets is nice to have • Familiarity with hierarchical or reporting datasets is nice to have • Experience integrating with modern data platforms (e.g. Databricks, Snowflake, BigQuery) is nice to have • Experience preparing structured data for machine learning or AI systems is nice to have • Familiarity with causal discovery approaches or graph-based relationship modelling is nice to have