Data Analyst

Role: IT Data Analyst Expert

Location: Remote

Role Type: 6 months

Salary: Depending on experience

Role Overview:

As a Data Analyst within the data team, your mission is to support logistics operations across departments by transforming business requirements into actionable insights. You work closely with Qlik Developers to ensure dashboards are aligned with stakeholders’ needs and deliver clear, impactful visualizations.

Leveraging Snowflake, you identify and extract the most relevant data, ensuring accuracy, consistency, and strategic alignment. You design and maintain scalable data models that reflect operational realities and support the generation of meaningful metrics for various business lines.

By ensuring logic for KPIs and performance indicators, and collaborating across teams, you enable data-driven decision-making, process optimization, and risk identification. Your work ensures that dashboards are guided by timely, reliable, and comprehensible insights.

Key Responsibilities:

Requirement Gathering and Business Alignment

• Collaborate with business stakeholders across logistics and other departments to understand analytical needs and operational goals.
  
  
• Translate business requirements into data requirements, ensuring clarity and feasibility for implementation.
  
  
• Act as a bridge between business teams and technical teams to ensure alignment on KPIs, metrics, and data logic.
  
  Data Exploration and Identification
  
  
• Identify and extract the most relevant data from Snowflake to support business questions and performance tracking.
  
  
• Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for improvement in logistics operations.
  
  Data Modelling and Metric Logic
  
  
• Design and maintain scalable data models that reflect logistics processes and support cross- functional reporting.
  
  
• Define and implement logic for KPI generation and performance metrics tailored to business lines and operational needs.
  
  
• Ensure models are optimized for accuracy, consistency, and usability in downstream applications.
  
  Collaboration on Dashboard Development
  
  
• Work closely with Qlik Developers to co-design dashboards that are intuitive, responsive, and aligned with business goals.
  
  
• Provide analytical input on data structure, metric definitions, and visualization logic to enhance dashboard effectiveness.
  
  
• Validate that visualizations accurately reflect underlying data and business logic.
  
  Data Quality and Validation
  
  
• Ensure data accuracy, completeness, and consistency across models and reports.
  
  
• Perform validation checks and support user acceptance testing (UAT) to confirm that analytical outputs meet business expectations.
  
  Documentation and Knowledge Sharing
  
  
• Document data models, metric definitions, and business logic for transparency and future reference.
  
  
• Create reference materials to support stakeholders in understanding and using analytical outputs effectively.
  
  Continuous Improvement and Innovation
  
  
• continuously seek opportunities to improve data models, metric logic, and analytical processes.
  
  
• Stay current with Snowflake capabilities, data analysis best practices, and logistics trends to enhance analytical value.
  
  Cross-Functional Collaboration
  
  
• Partner with Qlik Developers, Data Engineers, and business units to ensure seamless integration of data sources and alignment of analytical outputs.
  
  
• Participate in team meetings to share progress, resolve challenges, and align on priorities.
  
  Required Skills:
  
  
• Data Analysis and Business Alignment: Strong analytical skills to interpret complex data and translate business requirements into actionable insights. Ability to validate KPIs and metrics aligned with operational goals across departments.
  
  
• Data Modeling & Snowflake Expertise: Proficiency in designing scalable and efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles and dimensional modeling.
  
  
• Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors.
  
  
• Data Analysis and Visualization: Skills in visualizing data (Qlik Sense), selecting appropriate chart types, and creating user-friendly, interactive dashboards. Understanding of how data structures and logic impact visualization performance and usability.
  
  
• Problem-Solving and Critical Thinking: Ability to analyze and troubleshoot data issues, application errors, and performance concerns.
  
  
• Communication: Effective at gathering requirements, explaining technical concepts to non-technical stakeholders, and collaborating with teams.
  
  
• Design and UX Skills
  
  
• Security & Compliance awareness: Understanding of data security principles to ensure sensitive information is protected. Ability to apply role-based security, authentication, and authorization measures within Power Apps. Awareness of organizational data compliance requirements.
  
  
• Degree: Bachelor's degree or higher in computer science, information technology, software engineering, or a related field
  
  
• Experience: At least a couple of years of experience in Data Analyst Roles