The job, in the employer's words
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
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.
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.
Requirements mentioned
- 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
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