Data Analyst (Logistics, Remote)

Job summary

The role involves enhancing data clarity and structure within an Enterprise Data Platform, ensuring that business concepts and source data are effectively mapped and aligned. The Data Analyst will work in a dynamic environment, focusing on delivering high-quality analytical outputs that drive enterprise value.

Qualifications

• 2-5 years of experience in data analysis roles such as Mapping Analyst, Data Analyst, or Data Scientist.
• Proven ability to engage with business and data stakeholders to capture definitions and transformation logic.
• Experience collaborating with data engineers and architects in analytics environments.
• Familiarity with data platforms, data warehousing, and business intelligence concepts.
• Knowledge of data profiling tools and data quality frameworks.
• Proficiency in programming languages like Python or R is preferred.

Responsibilities

• Assist squads in complex data analysis and clarify ambiguities in source data.
• Facilitate collaboration between business and technical teams, ensuring alignment on data requirements.
• Validate data mappings and ensure they align with the enterprise data platform vision.
• Collaborate with architects and subject matter experts to maintain data quality and consistency.
• Conduct in-depth data profiling to identify patterns and inconsistencies.
• Develop processes for data validation to enhance data integrity.
• Create reports and visualizations to communicate insights from data analysis.

Skills

• Strong analytical skills and ability to manage competing priorities.
• Excellent stakeholder engagement skills across business and technical communities.
• Experience in large-scale agile delivery environments.

Education

• Relevant degree in a quantitative field or equivalent experience.

Tools

• Familiarity with data profiling tools (e.g., Databricks).
• Knowledge of cloud systems (e.g., AWS or Azure) is advantageous.