Solution Engineer
Simulation,
Modelling & Analytics
Location:
Bangalore
Department
Sales Engineering / Solutions
Employment Type
Full Time
About Mojro
Mojro is an AI-driven logistics SaaS platform that helps enterprises optimize planning, routing, fleet utilization, and execution across complex supply chain networks. Our simulation and optimization engine enables cost reduction, higher OTIF, and automation across FTL, last-mile, procurement flows, and high-volume retail distribution.
The Solution Engineer (Simulation, Modelling & Analytics) forms the analytical backbone of our solutioning efforts building precise simulations, extracting insights, and presenting data-backed narratives that convince enterprise stakeholders of the value Mojro delivers.
Role Summary
This role demands a blend of logistics modelling expertise, simulation capabilities, BI proficiency, and analytical storytelling. You will transform customer datasets into actionable simulations, dashboards, and ROI models that prove Mojros ability to model real-world logistics networks with depth and accuracy.
You will power POCs, scenario studies, and solution workshops and help CXO-level stakeholders see the operational and financial impact of adopting Mojro.
Key Responsibilities
- Simulation & Logistics Modelling
Build High-fidelity Simulations For Customer Logistics Environments, Including
FTL/LTL routing Last-mile delivery
Store fulfillment
Procurement and multi-pick flows
Multi-day and multi-leg planning
Configure fleet rules, constraints, capacities, service-time norms, geo-fences, and appointment windows into models.
Create baseline vs. optimized comparisons across cost, time, distance, utilization, and
SLA performance.
- Analytics, BI & Insight Generation
Build BI dashboards and analytical views using tools like Power BI, Tableau, Qlik, or similar.
Present trends, bottlenecks, simulation outputs, and optimization deltas through structured dashboards.
Develop KPI Packs Including
Fleet utilization
Route density
Delivery productivity
Costdistance curves
Time-window adherence
Driver & vehicle performance
Convert simulation data into executive-level insights and ROI narratives.
Build sensitivity analyses, cost-scenarios, and what-if comparisons.
- Pre-Sales, POCs & Customer Workshops
Own modelling configuration and analytical support for POCs, trials, and scenario-based evaluations.
Support workshops with BI-backed visualizations and modelling insights.
Prepare simulation output decks, dashboards, and modelling summaries for CXOs,
Operations Heads, and Digital Transformation teams.
- Technical Solution Design
Translate customer operations into data & modelling constructs vehicle rules, load structures, SKU constraints, rate cards, shift patterns, and operating windows.
Collaborate with Solution Managers and Product teams to ensure simulations align with real-world operations.
Build reusable modelling templates and analytical frameworks across industries.
- Data Preparation & Engineering
Clean, transform, and structure customer datasets for modelling.
Create delivery matrices, distancetime analyses, cluster density maps, and load utilization patterns.
Develop modelling pipelines that reduce preparation time for future engagements.
- Continuous Improvement & Knowledge Development
Maintain strong knowledge of routing engines, heuristics/metaheuristics, and optimization modelling.
Create libraries of dashboards, BI templates, simulation playbooks, and reusable assets.
Feed modelling learnings into the product roadmap and internal methodologies.
Experience
Preferred Experience & Qualifications
36 years in logistics modelling, supply chain analytics, BI, simulation engineering, or solutions engineering.
Prior experience in logistics or supply chain planning tools is highly preferred.
Technical Skills
Strong Excel, SQL, and Python for modelling and data manipulation.
Expertise in BI tools (Power BI, Tableau, Qlik, Looker or similar).
Understanding of heuristics/optimization concepts (LP/MIP, routing engines).
Ability to run iterative simulations and analyze outputs with depth.
Domain Knowledge
Solid understanding of logistics operations: FTL/LTL, last-mile, consolidation, routing, warehouse-store flows, rate cards, driver/vehicle rules.
Exposure to multi-constraint network planning and scenario analysis.
Communication
Strong ability to translate analytical output into business narratives.
Comfortable presenting modelling insights to CXOs, ops leaders, and IT teams.
Excellent documentation skills.
Why This Role Matters
Every Enterprise Asks The Same Question
Can Mojro model our network accurately
This role delivers the answer through rigorous simulations, BI-backed analytics, and actionable insights that directly influence deal outcomes and enterprise trust.
You become the engine behind demonstrating Mojros modelling depth and analytical credibility
