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Motive

Senior Data Analyst

Reposted Yesterday
Easy Apply
Remote
Hiring Remotely in United States
116K-177K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in United States
116K-177K Annually
Senior level
The Senior Data Analyst will focus on product reliability analytics, root cause analysis, metric definition, and presenting insights to stakeholders.
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Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role: 

This role will be dedicated to product reliability analytics, part of the Enterprise Product Analytics team, working with embedded teams and backend engineering teams. You will  will work directly and often with our embedded engineering team and backend engineering team. You will be responsible for:

  • Building out and maintaining reliability metrics and monitoring to be used in early alerting for issues occurring in the field.
  • Root cause analysis: Create scalable resources for problem solving. Create tools for support engineers to utilize. Monitor RMAs and complete new analysis as needed.
  • Establishing fundamentals and document for product reliability analytics
What You’ll Do:
  • Own and lead analytic thought leadership for product reliability domain
  • Define and consistently own key engineering metrics. Be integral to the development of new metrics and work with engineering and product teams to improve the instrumentation of the product.
  • Own root cause analysis through data insights and a master of balancing complexity vs speed, being able to use different tools to solve problems.
  • Apply statistical reasoning to problems and metric definition to help identify anomalies in the field.
  • Be able to own presentations to an executive audience.
What We’re Looking For: 
  • Bachelor's degree in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
  • 10+ years experience in quantitative field (data analysis, data science)
    • With a focus on physical hardware product analytics
  • Expert in SQL, python.
  • Very strong statistics, probability and quantitative reasoning
  • Experience in Hardware or software reliability analytics.

Pay Transparency
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.
The compensation range for this position will depend on where you reside. For this role, the compensation range is:

United States
$116,000$177,000 USD

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. 

#LI-Remote

Top Skills

Python
SQL

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