- Location
- MY: Kuala Lumpur - Bangsar South Campus, Malaysia
- Workplace
- Remote
- Type
- Full-time
- Source
- Workday
Description
Entity:
Technology
Job Family Group:
Job Description:
Responsibilities
- Be a bridge between business and digital organizations and part of a cross-disciplinary team, working closely with other analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners.
- Provide actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and eye for business.
- Maintain, define metrics and build dashboards.
- Autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope.
- You partner with data engineers to define and build simple data models. You integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis.
- Enforce to and advocate for data analytics standard methodologies.
- Present results to peers, collaborators, and team members.
- Collaborates with collaborators and mentor others
Qualifications
Essential Qualifications
- MSc or equivalent experience in a quantitative field, preferably statistics.
- Hands-on experience (typically approx 3- 5 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments.
- Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages.
- Deep understanding of a few and a high-level understanding of several commonly available statistics approaches.
- Advanced SQL knowledge.
- Advanced scripting experience in R or python.
- Ability to write and maintain moderately sophisticated data pipelines
- Strong eye for business.
- Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail.
- Strong communication and collaborator leadership skills. Ability to lead large organizations through influence.
- Continuous learning and improvement attitude.
Desired
- Advanced analytics degree
- Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
- No prior experience in the energy industry required.
What we offer:
It’s crucial to us that the differences we see in the world around us are reflected in our workplace. Who you are is what counts, not where you’re from or how you live your life. At bp, we support our people to learn and grow in a diverse and daring environment. We believe that our team is strengthened by diversity. We are committed to encouraging an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits include:
- Generous salary package including an annual bonus program and individual performance-based incentives.
- Additional EPF contributions totaling 15%.
- Excellent work-life balance & flexible working arrangements!
- Collaborative environment that celebrates achievements, diversity, and culture!
- Ongoing career development and progression opportunities in a global organization
- 16 weeks paid parental leave (4 weeks partner leave)
Travel Requirement
Relocation Assistance:
Remote Type:
Skills:
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Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
