Senior Analytics Engineer

Reposted 4 Days Ago
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Hiring Remotely in México
Remote
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Unlock the potential of the physical economy.
The Role
Build and maintain scalable GTM data pipelines, marts, semantic models, and dashboards supporting headcount planning, quota attainment, pipeline analytics, and sales effectiveness. Partner with GTM analysts and stakeholders to define reliable metrics, document data products, enable business users, and develop AI-powered natural-language data tools. Translate complex technical concepts for executives and engineers while ensuring data quality and maintainability.
Summary Generated by Built In

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 nearly 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:

As Senior Analytics Engineer - GTM, you’ll play a key role in helping our GTM team grow our business. You’ll report to the Director of Business Intelligence joining a centralized global team of analytics engineers and data engineers. Our team owns data pipelines for sales analytics such as headcount planning, quota attainment, and sales effectiveness. You’ll ensure that we have accurate data and a single source of truth for GTM and growth metrics. We’re looking for someone with deep domain expertise working with sales and GTM teams. You’ll combine that domain expertise with data skills in data analysis, building pipelines, and designing data models.  We want someone who enjoys collaborating with a diverse group of stakeholders and won’t rest until their business needs are met.

What You'll Do:
  • Drive the GTM data roadmap to build scalable durable data products 
  • Build and maintain key data pipelines and marts that power core company-wide GTM metrics such as our headcount model, quota attainment, and pipeline. 
  • Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  • Collaborate with our GTM analyst teams to train and enable them on datasets and data tools
  • Write excellent documentation and tutorials
  • Work across the full-stack of analytics from ad-hoc analysis and reports to architecting pipelines
  • Build semantic models and run evals to power AI tools that let sales operators query business data in natural language
  • Use AI-assisted development tools to move fast while keeping code, models, and documentation clean and maintainable for both humans and machines
  • Communicate complex data concepts clearly and persuasively through technical specs, dashboards, and presentations to align teams on metrics and definitions
Qualifications:
  • 7+ years experience in data engineering, data analytics, or analytics engineering
  • Deep expertise in data modeling and data warehouse design
  • Expert level SQL skills and experience with columnar analytics databases such as Snowflake and Bigquery
  • Expert level knowledge of Salesforce’s data model and other GTM systems
  • Experience with DBT and GIT
  • Experience with business intelligence tools - Direct Hex experience is a bonus
  • Experience working with sales, sales operations, sales compensation, and finance teams
  • Experience building with AI tooling for data such as semantic models, context management systems, and evals
  • A meticulous attention to detail
  • Self-starter with the ability to self-project manage work
  • Exceptional written and verbal communication skills. You are comfortable speaking with business executives and engineers alike and can translate between the two groups at the IC and senior stakeholder level

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. 

Regarding US-based roles, depending on your role and primary work location, Motive Technologies, Inc. (“Employer”) discloses candidates may be required to execute a non-compete covenant with the Employer. This requirement does not apply to lawyers, interns, or employees working in CA, MN, MT, ND, OK, or where otherwise prohibited by law.

Non-compete covenant terms in all other jurisdictions will be subject to the applicable statutory requirements, including but not limited to, procedures, industry related prohibitions, or salary and compensation thresholds.

All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.

Skills Required

  • 7+ years of experience in data engineering, data analytics, or analytics engineering
  • Deep expertise in data modeling and data warehouse design
  • Expert-level SQL skills
  • Experience with columnar analytics databases such as Snowflake and BigQuery
  • Expert-level knowledge of Salesforce data models and other GTM systems
  • Experience with dbt and Git
  • Experience with business intelligence tools
  • Experience working with sales, sales operations, sales compensation, and finance teams
  • Experience building AI data tooling, including semantic models, context management systems, and evaluations
  • Meticulous attention to detail
  • Ability to independently manage projects
  • Exceptional written and verbal communication skills
  • Direct Hex experience

What the Team is Saying

Laura
Valerie
Angie
Brad
Breanna
Greg
Elle
Elle
Jessica Demarest

Motive Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage includes medical, dental, vision, life insurance, and free mental-health support for U.S. employees. Feedback suggests the offering is broad and accessible, with multiple plan options noted.
  • Leave & Time Off Breadth — Vacation, sick leave, local holidays, and enhanced parental leave are emphasized, and PTO is often described as generous or flexible. Feedback suggests many teams can utilize time off, though experiences may vary by department.
  • Flexible Benefits — Work arrangements span fully remote, hybrid, or in-office, with a work-from-home stipend for fully remote employees. Feedback suggests flexibility is a notable perk that supports work-life balance.

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The Company
HQ: San Francisco, CA
4,000 Employees
Year Founded: 2013

What We Do

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves 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. Visit gomotive.com to learn more.

Why Work With Us

We work hard, with humility and we see our efforts rewarded in tangible ways every day. At Motive, you’ll have the chance to make a difference for the drivers who keep our world moving. We trust each other to do great work because together we can achieve collective goals that reach beyond the physical economy.

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