Website Moveinsync

Data Analyst at MoveInSync Technology Solutions

MoveInSync is the world’s largest employee commute SaaS platform. They specialise in optimising transportation for global enterprises, ensuring that thousands of employees reach work safely and efficiently. In this role, data isn’t just a byproduct; it is the core of their “Intelligent Routing” and real-time monitoring systems.

As a Data Analyst here, you will be responsible for turning millions of GPS pings, trip records, and routing logs into actionable insights that reduce commute times and operational costs.

🟢 Role Overview & Impact

This position is perfect for an analyst who enjoys Logistics and Operations. You will sit at the intersection of Product and Operations, ensuring the fleet runs like clockwork.

  • Commute Optimisation: Analyse routing data to identify patterns that can reduce “dry runs” (empty vehicles) and optimise fuel consumption.

  • Stakeholder Partnership: Work with business teams to define what “Efficiency” looks like, translating complex transport logs into clear KPIs.

  • SQL Mastery: MoveInSync relies heavily on SQL and Metabase. You will be responsible for writing high-performance queries that extract insights from their massive internal databases.

  • Dashboard Engineering: Build automated reporting workflows so that operations managers can see fleet performance in real-time.

  • Trend Identification: Use statistical methods to predict peak commute hours and identify anomalies in trip durations.

📊 Compensation & Market Benchmarks (2026)

Based on 2026 data for SaaS and Logistics-tech roles in India:

Metric Details
Average CTC ₹8 LPA – ₹15 LPA (Depending on SQL proficiency and relevant project experience).
Location Bangalore (HSR Layout/Bellandur area typical for MoveInSync).
Tech Stack : SQL (Mandatory), Metabase, Excel/Google Sheets, Python (Plus).
Experience Level : Entry-level to 2 years (Early applicants encouraged).
Industry Standing Movesync is a market leader in the Commute SaaS space, offering high job stability and industry pedigree.

🎯 Key Requirements & Preferred Skills

  • Education: B.Tech/B.E. or a degree in a quantitative field (Stats, Math, Economics).

  • Toolbox: Proficiency in Metabase (or similar BI tools like Tableau/Power BI) and advanced SQL.

  • Soft Skills: Strong communication—you must be able to explain why a route failed to a non-technical operations lead.

  • Python Advantage: While not mandatory, knowing Python for data cleaning will significantly increase your hiring and salary potential.

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