Data Analyst – Logistics

Key Responsibilities:

• Design, implement, and maintain the data pipelines that constitute TFG's data platform, enabling effective use of data within Logistics and across the organization.
• Create robust, mission-critical batch and streaming data processing capabilities.
• Aid the enhancement of data marts and data warehouse.
• Focus on delivering results and meeting customer expectations.

Qualifications and Experience:

• Must have a relevant 3-year IT or related qualification.
• 5+ years experience with Data pipeline design and development experience.
• Advanced proficiency in the SQL language.
• RDBMS experience in technology such as SQL Server, MySQL, and PostgreSQL.
• Ability to use common scripting languages such as Powershell, Bash, or Python for automation.
• Experience using unit and integration tests.
• Experience working with production BI environments and tools such as Tableau, Pyramid Analytics.
• Strong analytical/problem-solving skills.

Skills:

• Azure Data Engineer Associate certification.
• Experience in Azure data technologies.
• Hands-on experience working with Azure DevOps.
• Exposure to .NET Entity Framework.
• Experience in processing of data with big data technologies such as Kafka or Hadoop.
• Experience in Retail, Finance, Customer, or HR projects will be an advantage.
• Experience in mentoring Junior Engineers will be an added advantage.

Behaviors:

• Communicates Effectively - conveys information and communicates ideas in a clear, concise, and impactful manner.
• Customer Focus - understands, anticipates, and meets the needs and expectations of customers.
• Ensures Accountability - takes accountability and ensures others are held to account on agreed upon performance targets.
• Financial Acumen - understands and applies financial concepts and principles to make informed financial decisions.
• Interpersonal Savvy - openly engages and interacts with others, builds rapport, and establishes positive relationships.
• Manages Complexity - interprets and simplifies complex and contradictory information when resolving organizational problems.
• Optimizes Work Processes - assesses and improves the efficiency, effectiveness, and quality of various work processes.
• Plans and Aligns - develops plans and prioritizes initiatives that align to the organizational goals and objectives.