Data Officer (IT Department)

GENERAL SAFETY AND HEALTH RESPONSIBILITIES

• Comply with local governmental HSE regulations with Lesaffre fundamental principles and apply the safety Policy
• Participate in entity safety activities and always show best examples (Rules application PPE wearing perform safety visits accident analysis safety committees)
• Participate actively in the risk assessment of owns job area
• Follow the safety action plan of own perimeter
• Make safety rules in your perimeter communicate it make sure your team understands and applied them
• Start all meetings (from 8 persons minimum) by a safety contact
• Encourage safe acts and discourage each time you see unsafe acts
• Report unsafe conditions / acts and near misses to the managers
• Report within 12 hours all recordable accidents to the next level of management
• Report each month all recordable accidents and first aids happened in your perimeter
• Participate in the target-setting process for the safety KPIs
• Be a part of recognition & sanction program.

Within IT Department:

• Take into consideration safety requirements in the design stage of any new design/modifications and include safety specifications on related equipment before purchasing.
• During technical modification make sure end user knows the risk and can operate in total control
• In each construction contract integrate safety aspect into specifications
• When choosing contractors review its Safety experience and integrate safety requirements (starting with local government requirements) into the contract Consider HSE in project meetings
• Conduct HSE inspections/audits/meetings during the construction phase
• Ensure the technical and regulatory requirements before any production / operational phase.

Key Responsibilities and Activities

Data Governance:

• Establish and enforce data policies and standards to ensure data quality and compliance with regulations.
• Responsible for collection cleaning and validation of data from various internal and external sources.
• Document data definitions metadata and data lineage for internal use.

Data Management:

• Oversee the data lifecycle including collection storage analysis and dissemination of data across the organization.
• Maintain and update databases spreadsheets and data systems to ensure accuracy and completeness.
• Ensure data is stored and managed in accordance with data governance and compliance policies.
• Perform regular data quality checks and highlight anomalies or inconsistencies.

Collaboration:

• Work closely with IT departments and business units to promote data literacy and implement data-driven initiatives.
• Collaborate with various departments to understand their data needs and assist in fulfilling them

Data Analysis:

• Translate raw data into actionable insights to support strategic decision-making and improve business outcomes.
• Generate reports and dashboards to support business functions and performance tracking.
• Support in larger analytical and reporting projects.

Fostering a Data-Driven Culture:

• Encourage the use of data as a strategic asset within the organization enhancing overall performance and innovation.

Qualifications :

• Diploma or Degree in Data Science Information Technology Statistics Business or a related field with minimum 5 years managing data experiences.
• Proficient in Microsoft Excel (e.g. VLOOKUP PivotTables formulas).
• Basic understanding of databases and SQL.
• Analytical Skills: Ability to analyze complex data sets and derive meaningful insights
• Communication Skills: Strong verbal and written communication skills to convey data findings to various stakeholders. Ability to communicate clearly and work as part of a team.
• Problem-Solving Skills: Aptitude for identifying data-related issues and developing effective solutions.
• Leadership Skills: Capability to lead data initiatives and foster collaboration across departments.
• Good organizational and time management skills.
• Additional advantage if you have:
  • Experience with data visualization tools (e.g. Power BI Tableau).
  • Exposure to data privacy or governance frameworks.
  • Knowledge of Python R or other data-related programming languages.

Remote Work :

No

Employment Type :

Full-time