Job ID: 10387623 | Services LLC
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The Relay Fleet Tech organization in Middle Mile Transportation Technology (MMPT) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with.
Key Job Responsibilities
* Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business.
* Work with large and complex data sets to solve a wide array of challenging problems using different data management tools and analytical approaches.
* Partner with Product, Program, Engineering, and cross‐functional teams to understand data requirements and design scalable and user‐friendly BI solutions influencing product and program strategy.
* Identify and measure success of product and program efforts through continuous analysis, goal setting, and monitoring of key metrics to understand trends.
* Build and maintain self‐serve analytics: role‐based dashboards, drill‐downs, alerts, and definitions that make performance obvious at a glance.
* Identify key performance drivers, quantify their impact on critical metrics, and deliver actionable recommendations.
* Mentor junior analysts in analytical techniques and problem‐solving methodologies.
Basic Qualifications
* 3+ years of tax, finance or a related analytical field experience.
* 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience.
* 3+ years of business or financial analysis experience.
* Bachelor's degree or equivalent.
* Experience defining requirements and using data and metrics to draw business insights.
* Experience with Excel.
* Experience with SQL.
* Experience making business recommendations and influencing stakeholders.
Preferred Qualifications
* Bachelor's degree in business or analytical discipline.
* Ability to develop and maintain front end code using Python, SQL and/or other similar coding languages.
* Proficiency in advanced analytical methods and data visualization.
* Experience building automated data pipelines and developing analytical models.
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