Data Analytics Developer at International Energy Services Limited (IESL)

Job Purpose / Objective

• Design, Implement and Manage systems for turning data into high-value, actionable insights through the delivery of state-of-the-art, scalable, enterprise data platforms, data science and analytics solutions for our company through a variety of techniques and technologies, from modelling, forecasting, transforming and enriching the data to presenting the data in a meaningful form.

Main Accountabilities

• Gather reporting and analysis requirements and translate into reporting structures data models, including aggregate tables, relational and dimensional.
• Profile and analyse source data to determine the best reporting structures.
• Design and build data integration processes from internal and external source systems into the Enterprise Data Warehouse/Lake.
• Develop dashboards that brings out insight from data for data across the organisation
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
• Develop use cases and data visualizations. Deliver value to the business from data analysis and document, catalogue, profile, cleanse and audit the data.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Lead cross-functional initiatives using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Provides business and technical expertise for the analytics process, tools, and applications for a business function or business unit.

Job Requirements
Education:

• A University Degree in Computer Sciences or Physical Sciences or Engineering; professional qualifications will be an advantage.

Experience:

• 5 to 7 years post-graduation experience, out of which 3 years should be a similar role within the IT department or Digital function or R&D function of a reputable organization preferably Oil & Gas company.

Competency Requirements:

• Highly skilled in SQL programming in T-SQL building stored procedures and jobs
• Strong functional understanding of Azure Machine Learning
• Ability to manage large volume data integration/ETL; experience with SQL Server Integration Services (SSIS) including ability to configure SQL Server agent
• Expertise in identifying and mapping data elements across multiple systems
• Knowledge of Power BI report visualizations, Data Analysis Expressions (DAX), Power Query (M), and Power BI data modeling
• Strong understanding of data integration, quality and validation
• Strong understanding of MDM, Data Warehouse/Data mart and relational database design
• Excellent written and verbal communication skills and able to interact with multiple IT teams and business partners both formally and informally
• Effective time management, ability to multi-task with changing priorities while continuing to provide exceptional client service
• Ability to work in a fast paced agile environment (tools and processes)