Logistics Performance Analyst

Role Summary:

As Logistics Performance Analyst, you will be responsible for developing a strong understanding of performance across our logistics function, and to develop and implement a repeatable process for monitoring and reporting it. The role will be focused on driving data driven decision making & delivering continuous improvement through strong analytical and interpersonal skills. You must have the maturity to work independently on a day-to-day basis and have the wisdom to know when to collaborate, delegate and/or escalate.

What's on your plate?

●Help in optimizing our performance reporting structure and repeatable process
●Optimize our KPI dashboard with continuous flow of data
●Identify and highlight opportunities for performance improvement
●Develop reporting material in a succinct, visual manner.
●Support internal stakeholders with ad hoc strategic analysis and reports from multiple data sources.
●Get hands dirty with the data extraction from big data sources like SQL, Tableau and Big Query.
●Develop a deep familiarity of the source data and it’s generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
●Contribute heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for different areas of business.
●Proposing enhancements to improve business experience.
●Contribute to improving our ways of work, our tooling, and our internal reporting structure.
●Providing support to other business functions when needed

What did we order?

●Minimum 3-5 years of work experience in a technical / data-driven environment is essentialpreferably within the tech logistics or ecommerce industry
●Excellent communication and presentation skills
●Excellent understanding of Data Warehousing and data modeling
●Excellent skills in SQL and Big Query
●In-depth understanding of data visualization platforms such as Tableau with the ability to design new dashboards and views based on business requirements.
●Familiarity and exposure of working alongside with the Product, Infrastructure, Data Science and engineering teams and similar projects
●Able to proactively analyze big data to discover trends, patterns, and actionable insights.
●Make it happen attitude, where results are ensured to be achieved regardless of the obstacles
●Flexibility to be available whenever a business need occurs