Senior Data Analyst, Solutions

DSV - Global transport and logistics
In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world. Our reach is global yet our presence is local and close to our customers. Read more at www.dsv.com

Location: Kempton Park
Job Posting Title: Senior Data Analyst, Solutions
Time Type: Full Time

Tertiary Qualification(s)

• Bachelor’s or master’s degree in an analytical discipline such as Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, or a related field. (Honors degree preferable)

Additional Computer Skills

• SQL (MS SQL, PostgreSQL, MySQL): Ability to write and optimize complex queries for efficient data extraction, transformation, and analysis.
• Power BI & Data Visualization: Advanced Power BI development, including DAX, Power Query, custom visuals, and automated report generation.
• Python (R is a plus): Proficiency in Python for data manipulation (Pandas, NumPy), machine learning (Scikit-learn, TensorFlow), and automation.

Job-related Requirements

Experience:
• +5 years of experience in a data analytics, data science, or business intelligence role within a supply chain.
• Experience working with large datasets from multiple sources (ERP, WMS, TMS, FMS) to drive operational insights and efficiencies.
• Hands-on experience in forecasting, optimization, and predictive modelling to support supply chain decision-making.

Soft Skills:
• Effective Communication: Strong written and verbal communication skills to present complex data findings in a clear, concise, and actionable manner.
• Attention to Detail & Accuracy: Well-organized with a strong focus on precision, ensuring high data quality and reliability.
• Results-Driven Mindset: Demonstrates dependability, persistence, productivity, and resourcefulness to achieve business goals.
• Innovative & Forward-Thinking: Passion for innovation, embracing change, questioning the status quo, and seeking new approaches to problem-solving.
• Time Management & Prioritization: Ability to manage multiple projects efficiently, meeting deadlines while maintaining data integrity.
• Analytical & Logical Thinking: Strong problem-solving abilities, with a structured and logical approach to identifying trends, inefficiencies, and business opportunities.

Technical Skills:
• Business Requirements Analysis: Ability to interpret business needs and translate them into data-driven solutions and specifications.
• Data Engineering & ETL: Understanding of data pipelines, ETL processes, and integration of multiple data sources.
• Warehouse & Transport Systems Knowledge: Familiarity with Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Freight Management Systems (FMS) to extract and analyze operational data.

ADDED ADVANTAGES FOR THIS ROLE

• +5 years of experience in a data analytics, data science, or business intelligence role within a Retail.
• Strong foundational knowledge of Supply Chain Management— certification (e.g., APICS CSCP, CPIM, SCOR-P) or proven industry experience is highly advantageous.
• Big Data & Cloud Platforms (Advantageous): Experience with Azure Synapse, AWS Redshift, Google BigQuery, or Snowflake.

MAIN PURPOSE OF THE ROLE

The Senior Data Scientist / Analyst will report into the Senior Manager, Planning & Transport Operations based in Johannesburg. This role be part of the Solutions FMS Team who are responsible for inventory optimization, warehouse and transport planning, execution and transport management for the South African Solutions Business and Clients. The core purpose of the role is to establish engagement opportunities with customers and operations, interpret large volumes of data from various sources and translating the intelligence into meaningful information which when applied will improve service to Clients, and increase operational productivity. The ability, meaning market related know how and experience on accessing, and querying large data sets on various industry standard systems, building models to process and interpret the data, analysis, discovery of useful information, detection of patterns, anomalies, trends and behaviors, forecast future demand, incorporate client business intelligence, identify areas for operational improvement and suggest solutions is essential to the success of this role within our business.

DUTIES & RESPONSIBILITIES

• Data Analysis & Insights: Analyze, interpret, and model structured and unstructured data from multiple supply chain systems (e.g., WMS, TMS, ERP) to uncover trends, inefficiencies, and opportunities for cost savings and process optimization.
• Predictive & Prescriptive Analytics: Develop and implement machine learning models and statistical techniques to forecast client demand, optimize inventory levels, and enhance operational planning for inbound and outbound logistics.
• Advanced Data Visualization & Reporting: Design and maintain interactive dashboards and reports using Power BI and other analytics tools, ensuring real-time visibility into key performance metrics across supply chain operations.
• Operational Efficiency & Process Improvement: Identify bottlenecks and inefficiencies in transportation, warehousing, and inventory management by leveraging data-driven insights, and propose data-backed solutions to improve overall performance.
• Data Governance & Quality Management: Validate, clean, and standardize data to ensure accuracy and integrity; collaborate with IT and business teams to resolve data discrepancies and enhance data quality in enterprise systems.
• Cross-functional Collaboration: Work closely with supply chain managers, operations teams, finance, and IT to translate business challenges into analytical solutions, ensuring alignment with strategic goals.
• Automation & Innovation: Develop automated data pipelines and workflow optimization tools to enhance decision-making efficiency and reduce manual reporting efforts.
• Resource & Capacity Planning: Support workforce and asset allocation planning by integrating demand forecasts with operational resource planning models.
• Continuous Learning & Market Trends: Stay updated on emerging technologies, AI applications in logistics, and best practices in supply chain analytics to drive innovation and maintain a competitive edge.
• Stakeholder Communication & Storytelling: Present complex data findings and insights in a clear, concise, and actionable manner to technical and non-technical stakeholders, supporting data-driven decision-making at all levels of the organization.

Disclaimer : Due to the high volume of applications received, only shortlisted candidates will be contacted. Should an external candidate not hear from us within four (4) weeks following their application, they should consider their application unsuccessful. Strictly fair and non-discriminatory selection procedures will be followed. We use Affirmative Action (AA) measures in an endeavor to redress the disadvantages in employment experienced by designated groups. Where possible, preference will be given to candidates from the designated groups as defined in the Employment Equity Act and in line with DSV’s Employment Equity plans. DSV reserves the right to defer or close a vacancy at any time.