Business Data Analyst

Contract Tpye: Temporary

Duration: One Year

JOB DESCRIPTION

As a Data Analyst, you are responsible for ensuring the accuracy, integrity, and quality of data used to drive business decisions.

You report to the Global Quality Manager and provide primary support for data collection, analysis, visualization, and performance reporting within quality organisation. You collaborate with cross-functional teams, including Business Units, Digital Solution Manager, IT, and external partners. Your role is instrumental in promoting data-driven decision-making and fostering a culture of data excellence among stakeholders. You lead data-related activities to provide effective analytical support to projects, ensuring that data standards are upheld throughout the project lifecycle

Responsibilities / Key TasksAssist in collecting, cleaning, and analyzing data from various sources to uncover insights and trends.

• Utilize statistical methods and data analysis techniques to interpret trends, patterns, and relationships within the data.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design, develop, and implement digital tools for data analysis and reporting. This includes creating interactive dashboards, automated reporting systems, and custom data solutions to enhance data management and visualization processes.
• Work closely with the data analytics team to develop and maintain dashboards, reports, and visualizations for internal and external stakeholders.
• Provide periodically reports on key metrics, KPIs, and performance indicators. Identify insights and actionable recommendations to support business objectives.
• Contribute to the development and implementation of data quality standards and best practices.

Measures of Effectiveness

• Data Accuracy Rate: The percentage of data that is free from errors after cleaning and the degree to which the analysis results are correct and reliable
• Data Collection Timeliness: The average time taken to collect and clean data from various sources.
• Timeliness of Reports: Adherence to reporting schedules and deadlines.
• Development Time: The average time taken to develop and update dashboards and reports.
• Requirement Fulfillment Rate: The percentage of business requirements successfully translated into data-driven solutions.
• Number of Collaborative Projects: The number of projects completed through cross-functional collaboration
• Stakeholder Feedback: Satisfaction ratings from stakeholders on the usefulness and clarity of the reports

QUALIFICATION REQUIREMENTS

Education Background

• Minimum Bachelor's degree program in Engineering, Data Science, Statistics, Computer Science, Mathematics, or a related field.

​​​​​​​Experience

• Proficient in programming languages and software essential for data analysis and tool development, including SQL, Python, R, Excel, and BI tools such as Power BI or Tableau.
• Minimum of 5 years in data analytics or data science roles, with substantial hands-on experience in using data visualization tools and techniques.
• Proven ability to apply statistical methods and mathematical analysis to real-world data effectively.
• ​​​​​​​Advanced understanding of data management practices, data governance, and best practices for creating impactful visualizations.
• Prior experience in the oil and gas sector, or a similar industry, which can provide valuable context and domain-specific insights for the role

Skills

• Analytical & Problem-Solving: Strong problem-solving abilities to address data-related challenges with a keen attention to detail.
• Time Management: Ability to manage time effectively and meet deadlines.
• Adaptability: Flexibility to adapt to changing business needs and priorities.
• Technical Proficiency: Familiarity with various data tools and technologies used in data collection, cleaning, analysis, and reporting  (Ms Excel advance, Power Bi, Workflows, Power Apps, Forms, etc)
• Communication: Excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders
• Visualization Skills: Knowledge of best practices in data visualization to present data clearly and effectively. ​​​​​​​