From the listing
About the role
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Its platform brings safety, operations, and finance teams into a single system, serving nearly 100,000 customers across a wide range of industries.
Motive's Strategic Analytics (SA) team drives data-informed decision-making for the Product organization across Growth, Churn, and Profitability. This Senior Analyst role focuses on Profitability, owning complex COGS and gross margin analysis across hardware and software product lines and working directly with the CPO, CTO, and senior leadership.
This is a problem-solving role, not a reporting role. You will start as a pure individual contributor and own your work end-to-end, with a path to team leadership responsibilities over time.
What you'll do
- Own end-to-end COGS and gross margin analysis for Motive’s hardware and software product lines, including vehicle gateways, dashcams, and a growing suite of software products.
- Model cost-saving opportunities, build scenario analyses, and deliver recommendations on profitability levers directly to the CPO, CTO, and finance leadership.
- Take ambiguous, high-stakes business questions from senior stakeholders, structure them, build the analysis, and enter executive conversations with a clear point of view.
- Partner closely with data engineering, finance, and product teams to understand cost drivers, surface insights, and influence roadmap and investment decisions.
- Navigate messy, complex data environments, establish ground truth, build reliable datasets, and create durable analytical frameworks the broader team can build on.
- Contribute to the operational rigor of the SA team through documentation, version control practices, and analytical best practices.
- Operate with minimal supervision, own your domain, manage your priorities, and push work forward.
What they're looking for
- 7+ years of experience in analytics, strategic finance, or a closely related field, with demonstrated depth in financial/operational modeling.
- Expert-level SQL: write complex queries independently and fluently.
- Deep understanding of unit economics: gross margin, contribution margin, COGS structures, cost drivers, and scenario modeling.
- Proven ability to independently frame and decompose ambiguous business problems.
- Strong executive communication skills, with experience presenting analytical findings and a clear POV directly to VP or C-suite stakeholders.
- High autonomy and self-sufficiency in fast-moving environments where context is incomplete and priorities shift.
- Experience working in messy data environments, establishing definitions, validating data quality, and building from the ground up.
- Must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations.
Nice to have
- Experience with hardware + software combination products, such as IoT, fleet technology, or consumer electronics, and how COGS behaves differently from pure SaaS.
- Python for analysis and automation.
- Hands-on experience with a modern analytics stack, such as dbt, Airflow, or equivalent, and opinions about how analytics teams should operate.
- Background in strategic finance, FP&A, or management consulting with a strong technical layer.
Benefits, as listed
The hot takeJeff's read on Motive
Jeff hasn't written this one up yet.
Ask, and Motive jumps the queue.