Geospatial Data Analyst

Introduction

Picup, a last-mile delivery and technology-focused company, powered by a scalable crowd-sourced driver network is seeking an experienced Data Analyst with geospatial expertise to drive our data-driven initiatives and optimize last-mile delivery operations.

This role combines advanced analytics capabilities with spatial intelligence to deliver strategic insights, working directly with Senior Management and cross-functional teams to drive operational excellence and business growth. Duties & Responsibilities

Strategic Analytics & Reporting: ●       Develop reports, dashboards, and analytics solutions for business stakeholders. ●       Present strategic insights to senior and executive stakeholders. ●       Design and implement KPI tracking systems to monitor operational performance. ●       Conduct advanced statistical analysis to identify trends, patterns, and optimization opportunities. ●       Develop models for demand forecasting, driver planning, resource allocation and risks. ●       Design and lead data-driven decision-making initiatives across the organization. Geospatial Analysis: ●       Analyze spatial patterns in customer distribution and delivery performance metrics. ●       Integrate location-based data with business intelligence to provide operational insights. ●       Use data analytics and geospatial tools to support strategic planning and expansion. Stakeholder Management & Requirements Gathering: ●       Gather and translate business requirements into technical specifications. ●       Partner with cross-functional teams to identify analytical needs and deliver actionable insights. ●       Present complex analytical findings to diverse audiences. ●       Drive adoption of data-driven best practices across the organization. ●       Mentor junior team members and contribute to team knowledge sharing. Technical Implementation & Data Management: ●       Design and maintain robust data storage solutions, data pipelines and analytics platforms. ●       Develop automated data processing, reporting and self-serve analytics solutions. ●       Ensure compliance with data governance standards and privacy regulations. ●       Ensure high level of data quality and integrity across all analytical outputs. ●       Integrate multiple data sources to create comprehensive analytical datasets. ●       Optimize database performance and analytical query efficiency.

Desired Experience & Qualification

Required Qualifications: ●       National Senior Certificate / Grade 12 Matric ●       BSc degree in Data Science, Geospatial Science, Geography, or related field. ●       5-7 years experience in data analytics and business intelligence ●       2-3 years experience in geospatial analysis and location intelligence ●      Experience with a combination of Supply Chain / Logistics and Startup Technology related businesses would be advantageous Technical Skills: ●       Microsoft Excel / Google Sheets - Advanced ●       SQL(Structured Query Language) - Advanced ●       Python with geospatial libraries (GeoPandas, Shapely) - Advanced ●       Data Warehousing (Snowflake, BigQuery) - Intermediate ●       Data visualization tools (Looker Studio / Tableau / Power BI) - Intermediate ●       Geospatial Tools (ArcGIS, QGIS) - Basic ●       Web mapping tools (Leaflet, MapBox) - Basic ●       Database Management: Experience with both relational and geospatial databases