Job Description:

Logistics Senior Data Analyst

Key job responsibilities
· Manage individually multiple projects/initiatives related to Logistics Ops implementation projects
· Assist with integrations and ad-hoc requests related to business operations.
· Review and analyze proposed technical solutions & Business requirements for implementation projects.
· Create KPIS, performance dashboards, reports, and drive root cause analysis
· Engage with cross-functional teams and/or carriers/vendors for implementation projects.
· Provide educated judgment based on analysis of factual data in complicated and unique situations. .
· Support decision-making and strategic planning activities, serving as a key resource to senior decision-makers in the business.
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Basic Qualifications & requirements
· Previous experience within transportation or logistics
· Experience in logistics process improvement: TMS; track & trace solutions, QR codes, etc.
· Experience working with data (analysis, metrics, mining, root cause).
· Advanced knowledge on MS - specially Excel+ Power BI+ Power Point




· Proven independent decision-making skills in an often-ambiguous setting.
· Relevant experience in using data or anecdotal evidence to influence business decisions
· Ability to think quantitatively and qualitatively about operating processes and outcomes
· Communication at all levels with the ability to present information professionally & concisely with supporting data
· B2/C1 English level - Be able to communicate fluently in English

Other Required abilities/soft skills
· Capacity to work on multiple projects independently and meet various deadlines.
· Aptitude for learning new/different processes within the company to better understand
· Strong desire for teamwork and working in group settings
· Attention to detail and a basic understanding of aesthetics is essential
· Capable and willing to solve logic-based problems independently and accurately
· Passionate and focus on deliver solution to i

📌 Senior Data Analyst and Power BI Expert (Hyderabad)
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