Senior Financial Data Analyst

Remote

Applications have closed

Lime

Go car-free with the world’s largest shared electric vehicle company. Lime is on a mission to build a future where transportation is shared, affordable…

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Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me

Data is at the core of every decision at Lime - from designing vehicles to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes. 
We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Finance, Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment

What You'll Do:

  • Supporting asset performance such as developing depreciation models for our swappable batteries and vehicle fleets. 
  • Set up and manage reporting pipelines to help drive monthly, quarterly, and annual financial cycles.
  • Drive high-quality, timely analysis that contributes to the high performance and success of the business including analytical models in support of new business opportunities and strategic investments. 
  • Define and implement metrics, and report tools to provide insights.
  • Prepare and present analysis, forecasts, reports and recommendations to senior business and finance leaders to support critical decision-making opportunities

About You:

  • MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering) - PhD is a plus
  • 5+ years of industry experience as a Data Scientist/AnalystProficient in SQL and a programming language such as Python
  • Hands-on experience with data pipelines and visualization toolsCapable of turning insights into actionable product ideas
  • Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment
  • Prior knowledge/experience on financial analytics and depreciation models preferred

What We Offer:

  • Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions.
  • Scale with a rapidly growing organization, with significant opportunity for growth.
  • Play a role in the transformation of urban mobility and sustainability.
  • Work with a team of successful, fun and motivated people.
  • Competitive salary and benefits.
In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.
Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.

Tags: Data pipelines Economics Engineering Finance PhD Pipelines Python Research SQL Statistics

Perks/benefits: Career development Competitive pay Equity Salary bonus Startup environment

Region: Remote/Anywhere
Job stats:  6  1  0
Category: Analyst Jobs

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