Data Analytics Manager
Drive end-to-end analytics for a scaling logistics firm, leading teams and delivering insights that shape strategic decisions.
About The Company
A fast-growing logistics and delivery services provider with nationwide reach, the company focuses on improving operational efficiency through technology, data-driven decision-making, and customer-centric solutions. With a dynamic environment and continuous expansion, it offers opportunities to contribute to impactful projects that support scalable, reliable logistics operations.
Job Responsibilities
Key Requirements
Call for Action
If you possess the above requirements and are keen on a new challenge, please apply directly or email [email protected]
A fast-growing logistics and delivery services provider with nationwide reach, the company focuses on improving operational efficiency through technology, data-driven decision-making, and customer-centric solutions. With a dynamic environment and continuous expansion, it offers opportunities to contribute to impactful projects that support scalable, reliable logistics operations.
Job Responsibilities
- Lead and mentor an analytics team to deliver insights that support business decision-making.
- Oversee the full analytics lifecycle, from data gathering and modeling to analysis and interpretation.
- Collaborate with senior leaders to identify opportunities where data-driven insights can enhance performance and support growth initiatives.
- Serve as a key liaison between data engineering, BI, and business teams to ensure smooth execution of analytics initiatives.
- Translate complex analytical outputs into clear narratives and practical recommendations for stakeholders.
- Support the development of data literacy and analytical capability across the organization.
- Partner with data engineering to maintain clean, reliable, and well-structured data pipelines.
Key Requirements
- Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, Economics, or a related quantitative discipline.
- 6–10 years of experience in analytics or data science, including at least 2 years in a leadership capacity.
- Strong SQL proficiency and experience with data manipulation across large datasets.
- Practical experience using Python or R for analysis and modeling.
- Solid grounding in statistical techniques, forecasting, and regression analysis.
- Familiarity with BI platforms such as Power BI, Tableau, QuickSight, or Looker.
- Understanding of data warehousing concepts, including data modeling, architecture, and governance.
- Strong communication and storytelling skills to align analytical work with business priorities.
- Comfortable presenting to executives and collaborating with cross-functional teams.
Call for Action
If you possess the above requirements and are keen on a new challenge, please apply directly or email [email protected]
Referral reward: Rp5000000