E T Consultant (Data Analyst)

The Data Analyst is responsible for analyzing data assets to support organizational decision-making. This role assists in the design and execution of data analytics initiatives, supports collaboration with stakeholders, and supports the development of statistical models, predictive models and machine learning techniques to solve complex business problems.

Responsibilities

• Supports analytical services or operational work in core areas of data science
• Assists with the development of a data governance framework that includes clear guidelines for data classification, ownership, and stewardship
• Leverages statistical concepts, practice, and theory, and knowledge of probabilities to support stakeholders in identifying key operational issues and optional solutions
• Supports the delivery of data, research and evidence-based solutions for institutional directions and strategic vision
• Collaborates to develop data solutions and market knowledge and ensure continuous processes improvements
• Assists with the development of data models and manages data processing and cleaning, supporting quality assurance and data visualization
• Supports the development of machine learning and AI tools to accelerate reasoning and analysis to support decision making
• Collects and documents business requirements, including establishing acceptance and evaluation criteria
• Defines configuration specifications and business requirements to ensure alignment with roadmap objectives
• Helps teams self-organize, self-manage, and deliver via effective SAFe Agile methods
• Assist in the preparation process for PI planning, and drafts PI plans in coordination with the Agile team
• Tracks team progress and utilize metrics to identify areas for enhancement
• Help translate technical analyses in core areas of data science into recommendations for programs, policies, and strategies for social and economic development
• Supports the adoption and suggestion of new concepts and ideas to from inside and outside the organization to optimize data solutions

Requirements

• Bachelor’s or master’s degree with 2 years of experience or equivalent combination of education and experience
• Designs, develops, and maintains BI solutions including dashboards, reports, and analytical tools
• Builds clear, compelling, and interactive visual representations of complex datasets using tools such as Power BI, Tableau, or similar platforms
• Designs and implements conceptual, logical, and physical data models
• Applies statistical methods, machine learning techniques, and analytical frameworks to extract meaningful patterns from large datasets
• Develops, trains, and evaluates machine learning models for classification, regression, clustering, and prediction tasks
• Hands on in one or more programming languages such as Python, R, SQL, or similar
• Works effectively within Agile frameworks including Scrum and Kanban
• Understands and applies AI concepts and tools including natural language processing, computer vision, and generative AI
• Understands the purpose and value of BI tools and reporting platforms
• Familiar with data warehouse concepts including ETL processes, dimensional modeling, and data lake architectures
• Familiar with data governance principles including data quality, data stewardship, metadata management, and compliance
• Elicits, documents, and validates business requirements through stakeholder engagement, workshops, and structured interviews
• Experienced in supporting Scrum Master responsibilities including facilitating daily stand-ups, removing impediments, and fostering a culture of continuous improvement within the team
• Recommended certifications include Microsoft Certified: Power BI Data Analyst Associate, SAFe Practitioner, Databricks Certified Data Analyst Associate

Skills

• Business Intelligence Systems
• Dashboard Development
• Data Visualization
• Power BI
• Tableau
• Data Modeling
• Statistical Methods
• Machine Learning
• Python Programming
• R Programming
• SQL Programming
• Agile Methodologies
• Scrum
• Kanban
• Artificial Intelligence
• Natural Language Processing
• Computer Vision
• Generative AI
• Data Warehouse
• ETL
• Dimensional Modeling
• Data Lake Architecture
• Data Governance
• Data Quality Processes
• Metadata Management
• Business Requirements Elicitation
• Stakeholder Engagement
• Scrum Master Support
• Power BI Data Analyst
• SAFe Practitioner Certification
• Databricks Data Analyst Certification

Languages

English