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Contract: Data Service Lead / Basrah

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Location: Basrah
Data Service Lead – 12 Months Contract – 28 x 28 Rotation – Iraq

Required:-  5+ Years of Experience working in Data Analytics or Data Management in Large Organizations in Large Scale Data Management & Integration Projects. Database Management Systems & Best Practices (T-SQL; MDX; PLSQL; DAX;). Data Modelling (Erwin; other Data Modelling Tools). Data Storage & ETL processes (DataStage| Informatica/ SSIS). Data Analytics & Reporting tools (Power BI, SAP BI, Spotfire, SSRS, Python, R). Experience with Large Scale Data Cleansing & Consolidation Projects. Experienced with Spatial Data Management (FME, ESRI ArcGIS). Data Governance Strategy with experience in Business Analytics for Data Projects. Good experience in Data Project Design, Documentation & exceptional communication skills. Leadership

As a Data Service Lead, you are expected to contribute at every stage of the Upstream value chain & have the potential to make a significant impact on how efficiently & effectively our business operates.
The Data Service Lead is expected to analyse the Data related needs of the organization & use their respective experience to strategize & govern Data Management & Data Analytics in the organization
The Data Service Lead will provide a vision & strategy for all data management activities. You are a champion for global data management, governance, quality, & vendor relationships across the enterprise.

Data Service Lead Key Accountabilities 
  • Accountable for the silent running of data operations across the businesses
  • Promote Data Standardization & eliminate data management inefficiencies surrounding data ingestion, cleansing, transformation, migration & analytics
  • Develop a thorough knowledge of Business Functionalities & departmental data management processes across businesses
  • Manage, Train & Lead the Data Engineers & DBA to support Data management activities & practices
  • Responsible for embedding best practices via training, coaching, & mentoring & ensuring alignment with global best practices in tools, data standards, data behaviours & data governance practices
  • Feedback continuous improvement suggestions to departmental Leads in & out of the IT department.
  • Define & utilize Statistical tools to solve industry-specific problems in varying fields, such as economics & engineering
  • Oversight of Data governance processes, contributing to &, as appropriate, complying with data governance resolutions
  • Responsible for ensuring a proper definition of a data ownership model for all functions based on global standards
  • Accountable for communicating requirements for additional & changes to relevant data applications, information systems, & infrastructure within the departments
  • Responsible for investigating integration & security requirements around any standard solution, local implementation, etc.
  • Determine & enforce specific security & privacy requirements for each piece of data, especially related to privacy laws, industry regulations, & corporate compliance mandates.
  • Responsible for educating the business users concerning proper uses of data assets
  • Report updates & discuss Data management strategies with IT&S Application & Data Manager weekly
  • Must determine the company's current data quality & maturity levels – of which there are five
  • Must establish enterprise standards – including a uniform & repeatable system development lifecycle methodology. For instance, there's a common set of standards for data naming, abbreviations, & acronyms.
  • Take inventory of all unstructured data – the big data challenge – determining its format, security, ownership, & quality. Must also determine which unstructured data should – & shouldn't – be captured.
Required Qualification   Must have a Full-time bachelor's degree in Pure Science or Computer Science or Engineering with Mathematics
Good to have

•            2 – 3 years Masters’ Degree in Computer Science (majoring in Data Analytics)
•            Other Degree/Diploma/Certification | Full-time/Part-Time/Online in Data analytics

Good to Have:

•            Data Warehousing & Big Data Technologies
•            Extensive knowledge of Oil Field Processes & Functionalities
•            Experience in managing Data Governance Projects for Large Oil Fields

How to Apply

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