Is the Senior Business Intelligence Engineer- AI-Driven Analytics position at SambaSafety fully remote?

Yes, this Senior Business Intelligence Engineer- AI-Driven Analytics position at SambaSafety is a remote position. The role is available for candidates in United States.

What benefits does SambaSafety offer for this position?

SambaSafety offers the following benefits: Paid Time Off, Tuition Reimbursement.

Senior Business Intelligence Engineer- AI-Driven Analytics at SambaSafety

United States

$100k - $130k

Who we are:Hi, we’re SambaSafety and we offer the industry’s most comprehensive driver monitoring software. Our mission is promoting safer communities by reducing risk through data insights. Companies trust SambaSafety to keep their employees safe on the roads, price and reduce risk, help protect their brand, their bottom line, and our global community. We’ve built an inclusive, supportive, and exceptional culture where every employee is empowered in their role. Don’t take our word for it; we’ve been recognized as a Top Workplace by <a href="https://sambasafety.com/blog/top-workplace-in-co-2020/" target="_blank">The Denver Post</a>, Albuquerque Journal, Sacramento Bee, and <a href="https://sambasafety.com/blog/sambasafety-named-top-company-to-work-for-in-colorado/" target="_blank">Built In Colorado</a>. And our employees rate SambaSafety as top-notch, with a rock solid <a href="https://www.glassdoor.com/Reviews/SambaSafety-Reviews-EI_IE446025.0,11.htm?sort.sortType=RD&sort.ascending=false&filter.defaultEmploymentStatuses=true&filter.defaultLocation=true&filter.language=eng" target="_blank">Top Rating on Glassdoor</a>.What You’ll Do:As a Senior Business Intelligence Analyst on SambaSafety’s Enterprise Data Team, you will sit at the intersection of traditional BI and modern AI-driven analytics. You’ll build the dashboards, semantic layers, and AI-ready data foundations that let business users — and increasingly, AI agents — get trustworthy answers fast. This role is for someone who wants to actively use AI tools in their daily development workflow (not just report on AI as a topic), while applying rigorous data quality and governance discipline to make sure AI-generated insights are accurate, explainable, and trusted.Responsibilities:AI-Augmented Analytics & Development<ul type="disc"><li style="margin-left:0in;">Design and build AI-augmented dashboards and self-service analytics experiences using Power BI and Looker, including natural-language query interfaces backed by Semantic Views</li><li style="margin-left:0in;">Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) daily to accelerate SQL development, dashboard scaffolding, testing, and documentation</li><li style="margin-left:0in;">Prototype and evaluate GenAI use cases — automated insight generation, anomaly narratives, AI-written executive summaries — to reduce manual reporting effort</li><li style="margin-left:0in;">Partner with data engineering and data science to productionize forecasting, anomaly detection, and clustering outputs into BI dashboards business users can act on</li><li style="margin-left:0in;">Write Python for advanced analysis, automation, and integration with LLM/AI APIs where SQL and point-and-click BI tools aren’t enough</li></ul>AI-Ready Data Foundation<ul type="disc"><li style="margin-left:0in;">Build and maintain AI-ready metadata (table/column descriptions, glossary terms, certified lineage) in OpenMetadata that powers natural-language-to-SQL agents and other AI query tools</li><li style="margin-left:0in;">Guide and advise engineering teams on the design and adoption of Semantic Views so business terms map cleanly to underlying tables for both human and AI/agent consumption</li><li style="margin-left:0in;">Define, monitor, and enforce data quality rules (completeness, accuracy, consistency, timeliness) so AI-generated outputs are built on trusted data, not silently wrong data</li><li style="margin-left:0in;">Partner with data engineering on metadata cataloging efforts that trace lineage from BI reports back to source Snowflake tables, closing gaps that block AI/analytics reliability</li></ul>Core BI & Business Partnership<ul type="disc"><li style="margin-left:0in;">Explore data to discover patterns, relationships, anomalies, and trends, applying structured, hypothesis-driven analysis increasingly augmented by AI/ML-based approaches</li><li style="margin-left:0in;">Gain a deep understanding of core business processes and align data/AI development with business strategy</li><li style="margin-left:0in;">Prepare reports, presentations, and dashboards that translate AI-driven and traditional analytics findings into clear, fact-based recommendations for the next steps</li><li style="margin-left:0in;">Analyze testing results to ensure BI and AI-assisted solutions meet business needs; recommend standards, policies, and procedures for BI tools, systems, and responsible AI use</li><li style="margin-left:0in;">Present insights to stakeholders up to the C-suite, translating technical AI/analytics outputs into language business decision-makers can act on</li></ul>What You’ll Need:<ul type="disc"><li style="margin-left:0in;">BS in Computer Science, Software Engineering, or a related discipline, or relevant work experience; exposure to the software development lifecycle (SDLC) is a plus</li><li style="margin-left:0in;">5+ years working in data-related roles, 2+ years involved in company(s) Business Intelligence processes</li><li style="margin-left:0in;">Expert-level SQL across different RDBMS technologies, plus working knowledge of Python for data analysis and automation</li><li style="margin-left:0in;">Experience with the Modern Data Stack — Snowflake, Power BI, Looker, and ETL tools; exposure to other Business Intelligence platforms is a plus</li><li style="margin-left:0in;">Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) in a real development workflow — not just casual use</li><li style="margin-left:0in;">Experience with or strong interest in LLM-powered analytics: natural-language-to-SQL, RAG-based query agents, or Semantic Views</li><li style="margin-left:0in;">Comfortable acting as the business/semantic-modeling voice in conversations with data engineering — translating business definitions into Semantic View design guidance rather than writing the underlying pipeline code</li><li style="margin-left:0in;">Working understanding of prompt engineering and how to validate/QA AI-generated outputs before they reach business users</li><li style="margin-left:0in;">Experience defining and applying data quality frameworks — profiling, validation rules, monitoring — to ensure trusted, decision-ready data</li><li style="margin-left:0in;">Familiarity with applied ML concepts (forecasting, anomaly detection, clustering) — you don’t need to build models, but you should be comfortable using and explaining their outputs</li><li style="margin-left:0in;">Experience with data governance/catalog tools such as OpenMetadata or Atlan is a plus</li><li style="margin-left:0in;">Experience with NO-SQL databases and large-scale data is a plus</li><li style="margin-left:0in;">Experience working with C-suite, product teams, and business users to understand how to optimally deliver insights within their operational workflows and decision-making processes</li><li style="margin-left:0in;">Knowledge of open-source reporting tools like Redash is a plus</li></ul>Benefits and Perks:<ul type="disc"><li style="margin-left:0in;">Flexible and generous Paid Time Off and Paid Volunteer Days</li><li style="margin-left:0in;">401k Employer Match </li><li style="margin-left:0in;">Generous Healthcare Benefits </li><li style="margin-left:0in;">Up to 12 weeks paid time off for maternity leave based on tenure</li><li style="margin-left:0in;">Wellness &Tuition Reimbursement</li><li style="margin-left:0in;">Flexible Work Arrangements</li><li style="margin-left:0in;">Lots of SambaSafety swag & SambaSafety Events </li></ul>Our team of talented and committed safety professionals is exceptional. At SambaSafety we strive to foster an inclusive culture that supports, encourages and celebrates a wide array of diversity. We are committed to create a space where all employees can show up as their authentic selves every day, and we work to advance employee equality, diversity and inclusion.SambaSafety provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, and expression or genetics.Come join us to find out for yourself what all the excitement is about!

Apply Now

Remote Opportunity

Senior Business Intelligence Engineer- AI-Driven Analytics

Join SambaSafety as a senior professional working remotely from United States. Explore the role, benefits, and apply in one place.

Senior Business Intelligence Engineer- AI-Driven Analytics

SambaSafety

Full Time

$100k - $130k

2 months ago

Who we are: Hi, we’re SambaSafety and we offer the industry’s most comprehensive driver monitoring software. Our mission is promoting safer communities by reducing risk through data insights.

United States

Senior

SQL

Python

Power BI

+5 more

Job Description

Who we are:

Hi, we’re SambaSafety and we offer the industry’s most comprehensive driver monitoring software. Our mission is promoting safer communities by reducing risk through data insights. Companies trust SambaSafety to keep their employees safe on the roads, price and reduce risk, help protect their brand, their bottom line, and our global community.

We’ve built an inclusive, supportive, and exceptional culture where every employee is empowered in their role. Don’t take our word for it; we’ve been recognized as a Top Workplace by The Denver Post, Albuquerque Journal, Sacramento Bee, and Built In Colorado. And our employees rate SambaSafety as top-notch, with a rock solid Top Rating on Glassdoor.

What You’ll Do:

As a Senior Business Intelligence Analyst on SambaSafety’s Enterprise Data Team, you will sit at the intersection of traditional BI and modern AI-driven analytics. You’ll build the dashboards, semantic layers, and AI-ready data foundations that let business users — and increasingly, AI agents — get trustworthy answers fast. This role is for someone who wants to actively use AI tools in their daily development workflow (not just report on AI as a topic), while applying rigorous data quality and governance discipline to make sure AI-generated insights are accurate, explainable, and trusted.

Responsibilities:

AI-Augmented Analytics & Development

Design and build AI-augmented dashboards and self-service analytics experiences using Power BI and Looker, including natural-language query interfaces backed by Semantic Views
Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) daily to accelerate SQL development, dashboard scaffolding, testing, and documentation
Prototype and evaluate GenAI use cases — automated insight generation, anomaly narratives, AI-written executive summaries — to reduce manual reporting effort
Partner with data engineering and data science to productionize forecasting, anomaly detection, and clustering outputs into BI dashboards business users can act on
Write Python for advanced analysis, automation, and integration with LLM/AI APIs where SQL and point-and-click BI tools aren’t enough

AI-Ready Data Foundation

Build and maintain AI-ready metadata (table/column descriptions, glossary terms, certified lineage) in OpenMetadata that powers natural-language-to-SQL agents and other AI query tools
Guide and advise engineering teams on the design and adoption of Semantic Views so business terms map cleanly to underlying tables for both human and AI/agent consumption
Define, monitor, and enforce data quality rules (completeness, accuracy, consistency, timeliness) so AI-generated outputs are built on trusted data, not silently wrong data
Partner with data engineering on metadata cataloging efforts that trace lineage from BI reports back to source Snowflake tables, closing gaps that block AI/analytics reliability

Core BI & Business Partnership

Explore data to discover patterns, relationships, anomalies, and trends, applying structured, hypothesis-driven analysis increasingly augmented by AI/ML-based approaches
Gain a deep understanding of core business processes and align data/AI development with business strategy
Prepare reports, presentations, and dashboards that translate AI-driven and traditional analytics findings into clear, fact-based recommendations for the next steps
Analyze testing results to ensure BI and AI-assisted solutions meet business needs; recommend standards, policies, and procedures for BI tools, systems, and responsible AI use
Present insights to stakeholders up to the C-suite, translating technical AI/analytics outputs into language business decision-makers can act on

What You’ll Need:

BS in Computer Science, Software Engineering, or a related discipline, or relevant work experience; exposure to the software development lifecycle (SDLC) is a plus
5+ years working in data-related roles, 2+ years involved in company(s) Business Intelligence processes
Expert-level SQL across different RDBMS technologies, plus working knowledge of Python for data analysis and automation
Experience with the Modern Data Stack — Snowflake, Power BI, Looker, and ETL tools; exposure to other Business Intelligence platforms is a plus
Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) in a real development workflow — not just casual use
Experience with or strong interest in LLM-powered analytics: natural-language-to-SQL, RAG-based query agents, or Semantic Views
Comfortable acting as the business/semantic-modeling voice in conversations with data engineering — translating business definitions into Semantic View design guidance rather than writing the underlying pipeline code
Working understanding of prompt engineering and how to validate/QA AI-generated outputs before they reach business users
Experience defining and applying data quality frameworks — profiling, validation rules, monitoring — to ensure trusted, decision-ready data
Familiarity with applied ML concepts (forecasting, anomaly detection, clustering) — you don’t need to build models, but you should be comfortable using and explaining their outputs
Experience with data governance/catalog tools such as OpenMetadata or Atlan is a plus
Experience with NO-SQL databases and large-scale data is a plus
Experience working with C-suite, product teams, and business users to understand how to optimally deliver insights within their operational workflows and decision-making processes
Knowledge of open-source reporting tools like Redash is a plus

Benefits and Perks:

Flexible and generous Paid Time Off and Paid Volunteer Days
401k Employer Match
Generous Healthcare Benefits
Up to 12 weeks paid time off for maternity leave based on tenure
Wellness &Tuition Reimbursement
Flexible Work Arrangements
Lots of SambaSafety swag & SambaSafety Events

Our team of talented and committed safety professionals is exceptional. At SambaSafety we strive to foster an inclusive culture that supports, encourages and celebrates a wide array of diversity. We are committed to create a space where all employees can show up as their authentic selves every day, and we work to advance employee equality, diversity and inclusion.

SambaSafety provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, and expression or genetics.

Come join us to find out for yourself what all the excitement is about!

Benefits

Paid Time Off
Tuition Reimbursement

Skills

SQL

Python

Power BI

Looker

Snowflake

Prompt Engineering

Data Governance

Semantic modeling

Ready to Apply?

Join SambaSafety today

Salary Range

$100k - $130k

Posted 2 months ago

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