Senior Business Intelligence Analyst

SambaSafety; Idaho; On-site; USD 100,000 - 110,000; Full time

Benefits offered by this job

Flexible PTO and Volunteer Days

401k Employer Match

Healthcare Benefits

12 weeks maternity leave

Wellness & Tuition Reimbursement

Flexible Work Arrangements

SambaSafety swag & events

Job summary

SambaSafety is seeking a Senior Business Intelligence Analyst to transform data into critical information for decision-making across defensive and offensive strategies.

You will partner with cross-functional teams to deliver insights that improve operational workflows and drive AI-enhanced analytics, reporting, and automation across the business.

Qualifications

• BS in Computer Science, Software Engineering, or a related discipline, or relevant work experience.
• 5+ years working in data-related roles, 2+ years in BI processes
• Experience with Modern Data Stack, Snowflake, Looker, Power BI, and ETL tools; Python for data analysis and automation
• Expert-level SQL across different RDBMS technologies
• Experience with No-SQL databases and large data sets is a plus
• Experience in data analysis, data profiling, and data transformation techniques
• Knowledge of data quality frameworks and data governance tools is a plus
• Familiarity with AI-driven development practices and tools and applying them to BI workflows
• Experience collaborating with C-suite, product teams, and business users

Responsibilities

• Create data visualizations, dashboards, and reports to communicate KPIs for internal and external reporting.
• Prepare reports and dashboards reflecting factual findings and recommendations from analytics projects.
• Collaborate with BI team members to create scalable and optimized BI solutions.
• Understand core business processes and align data development with business strategy.
• Explore data to discover patterns, relationships, anomalies, and trends.
• Develop data dictionaries and AI-ready metadata to support natural language queries.
• Audit datasets for data quality and lineage; define data quality rules with engineering to remediate issues.
• Analyze testing results; recommend standards and procedures for BI tools and systems.
• Partner with data engineering to support metadata cataloging and lineage.
• Evaluate AI-assisted development tools to accelerate BI delivery and analyst productivity.
• Apply hypothesis-driven analysis, enhanced by AI/ML, to surface deeper insights from large datasets.

Skills

SQL

Power BI

Python

ETL

Data analysis

AI/ML awareness

C-suite collaboration

OpenMetadata

Education

BS in Computer Science or related

Tools

Snowflake

Looker

Redash

OpenMetadata

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Business Intelligence Analyst

Professional US

Salary Range: $100,000.00 To $110,000.00 Annually

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 byThe Denver Post , Albuquerque Journal, Sacramento Bee,andBuilt In Colorado . And our employees rate SambaSafety as top-notch, with a rock solidTop Rating on Glassdoor .

What You'll Do:

As a Senior Business Intelligence Analyst in the SambaSafety Enterprise Data Team, you will transform data into critical information and knowledge to make sound business decisions for defensive and offensive strategies. You will partner closely with cross-functional teams to deliver data and insights in a manner that allows business users to understand, interpret, and act within their operational workflows and decision-making processes. This role also plays a key part in advancing the team's AI-readiness efforts - helping build the trusted, well-documented data foundation that powers AI-driven analytics, natural language query tools, and intelligent automation across the business.

Responsibilities:

• Create data visualizations, dashboards, and reports to communicate key performance indicators for internal and external reporting purposes
• Prepare reports, presentations, and dashboards that reflect fact-based findings and recommendations regarding next steps resulting from analytics projects
• Collaborate with other BI team members to create scalable and optimized BI solutions
• Gain an understanding of core business processes and align data development with business strategy
• Explore the data and discover patterns, meaningful relationships, anomalies, and trends
• Develop data dictionaries and documentation for knowledge share, including AI-ready metadata (table and column descriptions, glossary terms, lineage) that supports natural language query tools and other AI-driven analytics initiatives
• Audit datasets for data quality and data lineage; define and monitor data quality rules (completeness, accuracy, consistency, timeliness) and partner with engineering to remediate root causes
• Analyze testing results to ensure the solution meets the needs of the business; recommend standards, policies, and procedures for the form, structure, and attributes of BI tools and systems
• Partner with data engineering to support metadata cataloging efforts (e.g., OpenMetadata) that trace lineage from BI reports through source tables, strengthening data trust and discoverability
• Evaluate and pilot AI-assisted development and analysis tools (e.g., AI-powered SQL generation, automated documentation, anomaly detection) to accelerate BI delivery and improve analyst productivity
• Apply structured, hypothesis-driven analysis techniques - increasingly augmented by AI/ML-based approaches - to surface deeper insights from large and complex datasets

What You'll Need:

• BS in Computer Science, Software Engineering, or a related discipline, or relevant work experience.
• 5+ years working in data-related roles, 2+ years involved in company(s) Business Intelligence processes
• Experience with Modern Data Stack, Snowflake, Looker, Power BI, and ETL tools; working knowledge of Python for data analysis and automation
• Expert-level experience in SQL across different RDBMS technologies
• Experience with NO-SQL databases and working with large sets of data is a plus
• Experience in data analysis, data profiling, and data transformation techniques
• Experience defining and applying data quality frameworks - profiling, validation rules, and monitoring - to ensure trusted, decision-ready data
• Familiarity with AI-driven development practices and tools (e.g., AI coding assistants, LLM-based data documentation or querying tools) and an interest in applying them to BI workflows
• 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 and data governance tools like Atlan or OpenMetadata 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!