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 Mojro s 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

1. 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.

2. 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

Cost distance 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.

3. 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.

4. 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.

5. Data Preparation & Engineering Clean, transform, and structure customer datasets for modelling.

Create delivery matrices, distance time analyses, cluster density maps, and load

utilization patterns.

Develop modelling pipelines that reduce preparation time for future engagements.

6. 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.

Preferred Experience & Qualifications

Experience

3 6 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

Solid 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 Mojro s modelling depth and analytical credibility

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Solution Engineer Simulation, Modelling & Analytics (Karnataka)
🏢 Mojro Technologies
📍 Karnataka