Technical Lead, Motive

Device Observability

$148-240k

Salary dependent on location

SQL

Python

Tableau

Looker

Power BI

Prometheus

Grafana

Snowflake

Datadog

Senior and Expert level

Remote from US

Fleet management platform for trucks

Open for applications

Fleet management platform for trucks

1001+ employees

B2BArtificial IntelligenceLogisticsTransportInternet of ThingsSaaS

Open for applications

$148-240k

Salary dependent on location

SQL

Python

Tableau

Looker

Power BI

Prometheus

Grafana

Snowflake

Datadog

Senior and Expert level

Remote from US

1001+ employees

B2BArtificial IntelligenceLogisticsTransportInternet of ThingsSaaS

Company mission

To connect the world’s trucks.

Job

Company

Role

Who you are

This role requires a strong background in data analysis, SQL, Python, and a passion for problem-solving and continuous improvement
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

What the job involves

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
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

Our take

Trucking is a huge but fragmented industry that was largely ignored by Silicon Valley until companies such as Motive (formerly KeepTruckin) came along. The integrated fleet management platform acts as air traffic control for trucks, bringing drivers online and into the 21st century.

The company offers both hardware and software solutions to freight companies, allowing them to manage their fleet and keep their drivers safe. One of these solutions is an AI-powered dashcam that detects unsafe driving behavior in real time and instantly alerts the driver.

The platform, which is used by over 120,000 companies, from small businesses to Fortune 500 enterprises, received series F funding in 2022, which is being used to accelerate its investment in AI, expand its product offerings into spend management, and grow its enterprise capabilities.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-13% employee growth in 12 months

Glassdoor (4)

Trustpilot (2.1)

Company

Funding (last 2 of 7 rounds)

May 2022

$150m

SERIES F

Jun 2021

$190m

SERIES E

Total funding: $567.3m

Company HQ

Yerba Buena, San Francisco, CA

Leadership

Obaid Khan

(COO)

Studied Political Science and Government at University of California before founding KeepTruckin in 2013.

Shoaib Makani

(CEO)

Studied Government & Economics at LSE. Analytics Intern at Yahoo. Worked for a year at Google as APMM. Went on to work in Business Development at AdMob.

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