Senior Analytics Lead: Dashboards & Data for Clients

Smith System Driver Risk Management; United States; On-site; USD 80,000 - 90,000; Full time

Job summary

Smith System Driver Risk Management in the United States seeks an experienced Analyst to own end-to-end analytics workflows, from data ingestion to dashboard delivery and client follow-up.

You will gather requirements, execute client projects with support as needed, and mentor junior analysts while deepening expertise in fleet operations and driver risk. Strong SQL and BI tooling are essential, with a focus on delivering trusted insights to customers.

Qualifications

• 2-4 years of relevant professional experience as an Analyst.
• Bachelor's or Graduate degree in Mathematics, Statistics, Data Science, Science, or another analytical field.
• Strong SQL skills and experience preparing, validating, analyzing, and troubleshooting complex datasets.
• Experience using Python, R, or another programming language for data analysis and problem solving.
• Experience developing dashboards and visualizations in a modern BI platform.
• Experience using BI tools such as Omni, Looker, DBT, GitLab, Tableau, Power BI.
• Demonstrated ability to independently manage well-defined analytical work while knowing when to escalate questions or seek support.
• Strong client-facing communication skills, including the ability to gather requirements, explain analytical concepts clearly, present findings, and manage expectations.

Responsibilities

• Own and execute an entire core analytics workflow with minimal oversight, from data intake and preparation through analysis, visualization, delivery, and customer follow-up.
• Ingest, transform, validate, and analyze customer data to identify patterns, answer business questions, and produce trusted insights.
• Build and maintain dashboards and other analytical deliverables that align with customer requirements and business objectives.
• Communicate directly with customers to understand objectives, priorities, requirements, and timelines, with support on more complex requirement-gathering conversations as needed.
• Present analytical findings and dashboards to customers, explain the story behind the data, and educate users on product functionality, industry best practices, and domain-specific concepts.
• Execute customer-specific analytical projects with oversight, balancing customer needs, technical feasibility, quality, and timelines.
• Keep customers informed on project progress and respond to data, reporting, or analysis-related questions and issues quickly and effectively.
• Use project management and software development tools to collaborate with analysts, data engineers, data scientists, and other teammates in the creation, modification, and review of analytical work.
• Mentor Analyst I and Analyst II team members on routine workflows, tools, and analytical practices.
• Build deeper subject-matter expertise in fleet operations, driver risk, benchmarking, telematics, and/or other relevant areas of the business.
• Preferred consideration will be given if you have experience in the fleet space
• Act as a trusted advisor to your customers — helping them understand not just what the data shows, but how to act on it to improve their KPIs.
• Use AI tools like Claude to work more efficiently and help solve customer problems.
• Build and maintain the data models (dbt & semantic layer) that power your dashboards and analytical deliverables, working with high‑volume telematics/FMIS data.

Skills

SQL

Python/R

BI dashboards

Client-facing

Data modeling

Cross-functional collaboration

Mentoring

Education

Bachelor's or Graduate degree in Mathematics, Statistics, Data Science, Science, or another analytical field

Tools

dbt

GitLab

Looker

Tableau

Power BI

Omni

Job description

Smith System Driver Risk Management in the United States seeks an experienced Analyst to own end-to-end analytics workflows, from data ingestion to dashboard delivery and client follow-up.

You will gather requirements, execute client projects with support as needed, and mentor junior analysts while deepening expertise in fleet operations and driver risk. Strong SQL and BI tooling are essential, with a focus on delivering trusted insights to customers.