Senior Data Analyst - Embedded Software

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 120,000 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: 

As a Data Analyst for the Connected Devices team, you will be responsible for monitoring, analyzing, and optimizing the data generated by our IoT, telematics, and embedded devices. You will work closely with engineering and product teams to uncover valuable insights, identify trends, and proactively address any anomalies or issues with the data. This role requires a strong background in data analysis, SQL, Python, and a passion for problem-solving and continuous improvement.

What You’ll Do: 

• Develop and maintain complex SQL queries to extract, transform, and aggregate data from various sources, including Snowflake and other data platforms.
• Utilize Python and data analysis tools to perform advanced data analysis, including forecasting, anomaly detection, and root cause analysis.
• Collaborate with engineering teams to automate data pipelines, reporting, and alerting to ensure timely and actionable insights.
• Translate complex data into clear, actionable recommendations for product and engineering teams.
• Stay up-to-date with industry trends and best practices in data analysis and monitoring to continuously improve our capabilities.
• Work closely with cross-functional teams to understand their data needs and provide tailored solutions.

What We’re Looking For: 

• Bachelor's degree in Computer Science, Statistics, or a related quantitative field
• 5+ years of experience in data analysis, with a strong background in SQL and Python
• Proficient in data visualization and dashboarding tools (e.g., Tableau, PowerBI, Looker)
• Proficient experience using Datadog
• Excellent problem-solving and critical thinking skills, with the ability to uncover insights from complex data
• Experience working with large, high-velocity data sets and developing scalable data pipelines
• Strong communication and collaboration skills to effectively translate technical findings into business-oriented recommendations
• Hands-on experience with monitoring and alerting tools (e.g., Grafana, Prometheus, Datadog) is a plus
• Passion for continuous learning and a growth mindset.

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:

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.

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. 

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