Huxley

Data Analyst (Logistics)

Job description

Hi there,

For one of our clients we are looking for a Freelance Data Analyst.

Join a team at the forefront of shipping technology, working with a comprehensive software solution tailored for medium and high-volume shippers. This innovative platform streamlines the entire shipping process, from preparing shipments and scheduling pickups to tracking and reporting, ensuring efficient and automated operations.

As a Data Analyst in the Online Shipping data team, you'll tackle complex business questions with in-depth analyses and craft informative dashboards. Your work will support strategic decisions, leverage advanced analysis techniques, and integrate data seamlessly with data engineers. You'll present insights clearly and compellingly, actively engaging in problem-solving and innovation.

Key Responsibilities:

  • Strategic Collaboration: Work with business stakeholders to understand objectives and develop data-driven solutions.
  • Advanced Analysis: Use statistical methods to uncover patterns and trends.
  • Dashboard Development: Create interactive dashboards showcasing key performance indicators.
  • Data Integration: Collaborate with data engineers to ensure comprehensive and cohesive datasets.
  • Insight Presentation: Lead presentations of meaningful insights to stakeholders.
  • Innovation: Engage in creative problem-solving and contribute to developing innovative data solutions.

Required Skills:

  • Strong verbal and written communication.
  • Critical and analytical thinking for complex problem-solving.
  • Attention to detail for accurate analysis and reporting.
  • Effective time management for handling multiple tasks and meeting deadlines.
  • Collaborative mindset for cross-functional teamwork.
  • Understanding of business processes to align analyses with organizational goals.

Qualifications:

  • Bachelor's degree in Business, Data Science, Computer Science, or a related field (Master's preferred).
  • Over 3 years of relevant experience as a Data Analyst.
  • Experience in a senior or lead data analyst role.
  • Proficiency in statistical analysis and data modeling.
  • Strong SQL skills for database querying.
  • Familiarity with scripting languages like Python or R.
  • Expertise in visualization tools such as Tableau or Power BI.
  • Knowledge of Git, GitHub, and DBT is a plus.

Feel free to apply through link below!

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