• Primary Duties and Responsibilities:Data modeling: Develop custom data models and algorithms to apply to data sets.
• Data Mining, Cleaning and Munging
• Data Visualization and Reporting (Power BI)
• Data warehousing and structures
• Business Process and workflow (SharePoint)
• Statistical analysis and Risk Analysis
• Database Programming (SQL)
• Software Engineering Skills
• Problem Solving
• Effective Communication

Skills

• Qualification:Bachelor or Master level degree in Business, Computer, Information Science or a related field.

• Experience:Eight years (8) years of experience in a business environment with specific exposure in Business Process and Data Analysis relating to Project Management required, preferably in oil and gas industry.
• Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
• Experience in statistical and data mining techniques (Data Mining, Cleaning and Munging) to mind and analyze data from company databases, ERP and other legacy data sources/systems to drive optimization techniques and business strategies.
• Experience Data Visualization, dashboard and Reporting using Data Visualization Tools such as (Power PI, Tableau, SAS, Python, etc.) with experience using web services and clouds tools.
• Knowledge in Master data object definitions and models would be an advantage
• Knowledge in Business Process Analysis, Modelling, Optimizing and Workflow automation.
• Experience in business process analysis, modelling, notation, process improvement methodologies, optimization strategies and statistical process control.
• Experience in documentation and diagramming approaches used to describe typical business components including entity relationship diagrams, process diagrams, and workflow diagrams.
• Good exposure of Project Management principles and practices.
• Thorough understanding of Business Process management and ability to plan / conduct study and document the results.
• Expert proficiency in using MS Office suite applications, MS SharePoint and Power BI.