Senior Data Analyst

Kooner Fleet Management Solutions

Senior Data Analyst providing in-house analytical authority for Kooner Fleet Management Solutions. Analyzing data to drive decision-making and improve operational efficiency across departments.

Posted 5/23/2026full-timeSacramento • California • 🇺🇸 United StatesSenior💰 $110,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonSQLTableau

About the role

Key responsibilities & impact

Connect and analyze data across FleetIQ, Samsara GPS, Rippling, time schedules, QuickBooks, and Power BI to build a unified view of business performance.
Identify cost-saving opportunities and operational inefficiencies across departments; workforce, fleet, dispatch, finance, and field operations.
Develop and maintain dashboards and scorecards in Power BI and Tableau that give leadership and department heads real-time visibility into KPIs.
Analyze technician profitability, labor cost vs. output, overtime patterns, and timecard compliance.
Evaluate GPS and fleet data against clock records to detect off-clock vehicle use, idle time, and route inefficiency.
Assess dispatch metrics - time to first assignment, technician response times, job completion rates - and identify structural improvements.
Leverage AI tools and prompt engineering to accelerate analysis, automate summaries, and enhance the depth of insight from existing data.
Build and maintain master mapping tables to normalize technician names, truck assignments, territory codes, and cross-system identifiers.
Partner with the CFO and executive team to frame business questions analytically and return with data-backed recommendations.
Proactively surface trends, anomalies, and risks the business is not yet measuring before they become problems.

Requirements

What you’ll need

8–10 years minimum in data analytics, business intelligence, or a related analytical role
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or related field required.
Background in field service, logistics, last-mile delivery, fleet operations, or a similarly data-rich operational business strongly preferred.
Demonstrated history of translating data findings into business decisions, not just reports.
Experience working directly with finance leadership or C-suite as an analytical partner.
Proven ability to integrate data across multiple enterprise platforms with inconsistent formats and naming conventions.
Strong SQL - able to write complex joins, aggregations, and window functions on messy multi-source data.
Python for data wrangling, automation, and analysis (pandas, NumPy, scripting).
Power BI and Tableau for production-grade dashboards used by non-technical stakeholders.
Excel at an advanced level - pivot tables, complex formulas, model building.
Proficient with AI tools and prompt engineering to accelerate insight generation and automate routine analysis tasks.

Benefits

Comp & perks

Competitive pay starting at $110K-$150K based on experience.
Weekly Paydays: Get paid every Friday – no waiting around!
401(k) with company match.
Health Benefits that Kick in Fast: Medical, Dental, and Vision coverage after just 30 Days!
Enjoy paid vacation time, paid sick time, and paid holidays to rest, recharge, and take care of what matters most.
Life & Disability Insurance for added peace of mind – because we take care of our team on and off the job.
Access to our Employee Assistance Program for support when you need it most – we've got your back.
Big Career Growth Opportunities in a rapidly expanding, forward-thinking organization.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsbusiness intelligenceSQLPythonPower BITableauExceldata wranglingautomationcomplex formulas

Soft Skills

analytical partnercommunicationproblem-solvingcollaborationdata-driven decision makingtrend analysisrisk assessmentoperational efficiencycost-saving identificationleadership support