Who We Are: 

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. Motive combines IoT hardware with AI-powered applications to connect and automate physical operations. Motive is one of the fastest-growing software companies in the world, serving more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery.

Motive is built on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This has taken our company to great heights, including being recognized by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity. We’re proud to receive an employee net promoter score of 63 (according to Comparably) which places Motive in the top 5% of companies with 4,000 employees or more.

About the Role: 

The Cards team within Strategy Analytics is dedicated to supporting a startup within Motive on the new financial products initiative. We’re looking for an experienced analyst to partner with business and product stakeholders answering key questions and defining the strategic direction in strategic partnerships. In this role, you will leverage data, and conduct deep analysis, experiments, and explorations to increase our partnerships success. You will directly impact the business's long-term growth and will have an opportunity to work as a high-level contributor to a high-growth team. 

What You’ll Do: 

• Partner closely with business stakeholders and product managers
• Run deep-dive analysis that will influence the strategic decisions of the company
• Build source of truth reporting and dashboards using SQL
• Drive experiments

What We’re Looking For: 

• Minimum of 5 years of relevant analytics experience 
• Expert in SQL
• Expert in experimentation
• Python is a plus
• Excellent attention to detail and drive to understand the business context
• Master’s degree in a quantitative field, such as Computer Science, Data Science, Data Analytics, or equivalent is a plus