Senior Data Analytics Developer At International Energy Services Limited (IESL)

Job Details

Job Title: Senior Data Analytics Developer At International Energy Services Limited (IESL)
Organisation: International Energy Services Limited (IESL)
Location: Rivers State
Min Work Experience: 7-10 year(s)
Qualification: B.Sc
Industry: Software/ Programming/ Web development
Course: Computer Sciences or Physical Sciences or Engineering

International Energy Services Limited (IESL), established in 1990, is a specialist, multidisciplinary, energy services company that provides integrated, client-focused and cost-effective services in the oil and gas industry.

We are recruiting to fill the position below:

Job Title: Senior Data Analytics Developer

Location: Port Harcourt, Rivers

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:

  • 7 to 10 years post-graduation experience, out of which 5 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).

Note

  • The Curriculum Vitae must be properly titled and uploaded (e.g CV_Data Analyst_Chukwu Abiola Ahmed)
  • Relevant Credentials, Professional and membership Certificates, where applicable, must be uploaded as a single PDF file
  • Application for more than 2 positions will be automatically disqualified.
  • Only applications received via the IESL online portal shall be considered.
  • Only Shortlisted Candidates will be contacted.
  • Any false information provided during or after the application process will lead to outright disqualification of such candidate(s).
  • If you have any challenge with the application portal, please email: recruitment@ieslglobal.com for support only.
Application Deadline: 27 January, 2022


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