.png)
Design and scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.
Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com.
Spreetail is looking for a Senior Analyst to design and scale advanced analytics models and tooling that optimize transportation networks, reduce shipping costs, and drive EBITDA growth. In this role, you will develop and enhance key tools such as carrier performance dashboards, routing and ship-speed optimizers, chargeback and dispute systems, and cost benchmarking engines. You will also drive automation, improve data accuracy, and deliver predictive insights that support real-time and forward-looking transportation performance management across the business.
How you will achieve success:
- Design and develop analytics models and tools to optimize transportation cost, speed, and network performance
- Own and enhance key tools including carrier dashboards, routing optimizers, chargeback systems, and cost benchmarking engines
- Deliver predictive and real-time reporting on key KPIs such as transit time, on-time delivery, and freight spend
- Provide fast, ad hoc decision support with clear focus on business drivers and actionable insights (24-hour SLA)
- Collaborate cross-functionally and support automation efforts while contributing to scalable, high-impact analytics solutions
What experiences will help you in this role:
- 4 to 6+ years of analytics experience, ideally in transportation, supply chain, logistics, or e commerce operations
- Strong SQL skills (Snowflake, Starburst, or similar) and advanced Excel; able to write and optimize complex queries independently; Power BI proficiency, including building dashboards and DAX measures from scratch.
- Self directed problem solver who can take an ambiguous business question, scope it, pull the data, and deliver actionable insight with minimal oversight.
- Excellent written and verbal English; comfortable presenting findings directly to US based leaders and stakeholders, has experience working across time zones with US teams.
- Bonus: exposure to carrier rate analysis, freight cost modeling, or warehouse/inbound operations data.
This is a remote position and requires candidates to have an available work-from-home setup
Desktop/Laptop system requirements:
- 4th generation or higher, at least Intel i3 or equivalent processor;
- at least 4GB RAM;
- Windows 10 and above or MAC OSX operating system
- You are required to provide your own dual monitors
A strong and stable internet connection (A DSL, cable or fiber wired internet service with 10 Mbps plan or higher for primary connection)
PC Headset
A high-definition (HD) external or integrated webcam with at least 720p resolution.
Please be aware of scammers. Spreetail will only contact you through Lever or the spreetail.com domain. Spreetail will never ask candidates for money during the recruitment process. Please reach out to [email protected] directly if you have any concerns. Emails from @spreetailjobs.com are fraudulent.
#LI-Remote
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides systems safety engineering for aircraft turbine engines and auxiliary power systems. Conducts hazard and safety analyses, develops safety requirements and documentation, supports FAA and EASA compliance, performs reliability analysis, and reviews designs. Collaborates across engineering teams on risk mitigation, corrective actions, and aftermarket safety metrics. The role also supports process standardization, automation, AI application, technical coaching, innovation, and strategies to reduce certification cycle time and cost.
Top Skills:
Artificial IntelligenceDoorsDoors NgModel-Based Systems Engineering
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads embedded software and firmware development for processor simulators and emulators, including requirements, architecture, design, coding, qualification, and technical support. Develops QEMU and KVM-based tools, ports Linux or RTOS to SoCs, and works with ARM architectures and low-level hardware interfaces. Owns simulator strategy, roadmaps, issue resolution, design decisions, stakeholder collaboration, process improvement, and team mentoring while driving innovation and competitive product development.
Top Skills:
ArmAssemblyBitbucketCC++Do-178B/CDo-330DoorsEclipseEthernetGdbGpioKvmLauterbachLinuxMpsocPciQemuRtosSocSvnTrace32Visual Studio
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads reactive and proactive incident response engagements across India and APAC. Performs advanced host and network forensics on Windows, macOS, and Linux; advises customers during security incidents; develops remediation plans; presents findings to technical and executive audiences; and mentors junior team members. The role also involves threat intelligence, adversary attribution, thought leadership, and applying AI technologies to improve workflows and decision-making.
Top Skills:
Artificial IntelligenceComputer Forensics ToolsLinuxmacOSNetwork Analysis ToolsNetwork ProtocolsWindows
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
