Business Data Analyst

Business Data Analyst

**Req Id**:17513

**Job Family**:Data Management

**Location**:Kuala Lumpur, MY, 50470

**Description**:

- 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 Tasks**Assist 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.
- 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.