SAP IBP, CPI-DS, SAP APO, Supply Chain solutions, SAP CPI, SAP BTP, RPA, AI/ML, Cloud platforms
Advanced Analytics Engineer
Location
India
Posted
117 days ago
Salary
0
Seniority
Lead
Job Description
Advanced Analytics Engineer
Laksys Consulting
• 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
Job 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
Related Guides
Related Categories
Related Job Pages
More Analytics Engineer Jobs
• Facilitar la ideación y creación de soluciones analíticas para diversas funciones. • Capturar requerimientos y sugerir mejoras en los procesos analíticos. • Colaborar ampliamente con equipos multifuncionales y en toda la organización. • Impulsar el desarrollo y la implementación de soluciones analíticas, fomentando el análisis y los insights que generen resultados positivos para el negocio. • Asegurar que el desarrollo de Analytics & Insights esté alineado con los procesos End-to-End (E2E) y los objetivos del negocio. • Actuar como un recurso clave para apoyar e impulsar iniciativas analíticas. • Garantizar un alto nivel de valor y satisfacción del cliente mediante una responsabilidad extrema. • Promover la adopción y el uso de herramientas e insights analíticos. • Brindar soporte en la capacitación sobre herramientas analíticas. • Asegurar la entrega oportuna y eficiente de soluciones. • Servir como guardián de la analítica generando insights para casos de uso del negocio
Analytics Engineer, Data
TailscaleSimple, secure networks for teams of any scale. Built on WireGuard.
• Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs. • Design, build, and maintain scalable dbt models and data pipelines supporting financial reporting (ARR, billing, revenue recognition) as well as operational, product, and GTM analytics. • Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions. • Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions. • While building towards automation, understanding the user needs to process manual tasks. • Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement. • Connect data and logic across domains, identifying how systems relate and surfacing opportunities to simplify, standardize, or automate. • Advocate for high standards in data quality, clarity, documentation, and maintainability.
Analytics Engineer, Data
TailscaleSimple, secure networks for teams of any scale. Built on WireGuard.
• Partner with teams across Finance, Engineering, Sales, Product, Marketing, and Customer Success to uncover their workflows, challenges, and data needs. • Design, build, and maintain scalable dbt models and data pipelines supporting financial reporting (ARR, billing, revenue recognition) as well as operational, product, and GTM analytics. • Tackle ambiguous, high-complexity problems, untangling systems, manual processes, and unclear logic to produce clear, durable data solutions. • Translate user challenges and incomplete requirements into structured data models, automated workflows, and end-to-end solutions. • While building towards automation, understand the user needs to process manual tasks. • Own solutions from ingestion to transformation to data quality, documentation, and stakeholder enablement. • Connect data and logic across domains, identifying how systems relate and surfacing opportunities to simplify, standardize, or automate. • Advocate for high standards in data quality, clarity, documentation, and maintainability.
• Using advanced-level SQL queries • Investigate issues with ETL pipelines • Create and enhance data pipelines by performing ETL activities.



