Senior AI Analyst delivering value in AI. Conducting EDA, defining KPIs, and evaluating models for production impact.
About the role
- Lead Commercial Data Intelligence Analyst at AVEVA managing data strategy and engineering. Overseeing teams and ensuring quality data for analytics and AI initiatives.
Responsibilities
- Own and advance the commercial data strategy, ensuring a single source of truth for reporting, analytics, and AI/ML initiatives
- Provide strategic directions for data integration and management
- Lead, mentor, and develop a team of Commercial Data Intelligence Analysts
- Drive best practices in data modeling, pipeline development, and AI-ready data preparation
- Oversee the design, implementation, and maintenance of scalable ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines)
- Ensure adoption of standardized data infrastructure, replacing non-standard sources with governed datasets
- Partner with business and analytics teams to prepare structured, clean, and enriched datasets for machine learning, predictive modeling, and recommendation engines
- Support feature engineering and model deployment
- Collaborate with senior leaders across commercial, sales, and operations functions to define data requirements, design analytical solutions, and ensure alignment with business objectives
- Act as a trusted advisor for data-driven decision-making
- Establish standards for data quality, governance, and validation
- Identify opportunities to improve data workflows, streamline processes, and enhance dataset reliability
- Stay current with Microsoft Fabric, cloud data engineering trends, and AI/ML best practices
- Oversee the development of complex SQL queries, data models, and integration pipelines to support scalable analytics, AI workflows, and operational reporting
Requirements
- Bachelor’s or master’s degree in data engineering, Computer Science, Information Systems, or related field
- 10+ years of experience in data integration, engineering, or commercial data management roles, with at least 2 years in a leadership capacity
- Strong expertise in SQL, data modeling, ETL/ELT pipelines, and cloud-based platforms (Azure Synapse, Microsoft Fabric, Databricks, or similar)
- Proven experience in leading teams to deliver AI/ML-ready datasets and analytics solutions
- Knowledge of data governance, quality frameworks, and commercial system data structures (e.g., Salesforce)
- Excellent problem-solving skills, with a strong focus on data accuracy, integrity, and usability
- Outstanding communication and collaboration skills, with experience engaging senior stakeholders and cross-functional teams.
Benefits
- Gratuity
- Medical and accidental insurance
- Very attractive leave entitlement
- Emergency leave days
- Childcare support
- Maternity, paternity and adoption leaves
- Education assistance program
- Home office set up support (for hybrid roles)
- Well-being support
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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