Senior Data Analyst (2008)

Kooner Fleet Management Solutions•Sacramento, CA

4d•Onsite

About The Position

Kooner Fleet Management Solutions is seeking a Senior Data Analyst to act as their in-house analytical authority. This role reports directly to the CFO, is embedded with the executive team, and collaborates across all departments to uncover insights that guide business operations and growth. The primary focus is on connecting data systems to decision-making, identifying cost-saving opportunities and operational inefficiencies, and delivering actionable recommendations rather than just reports.

Requirements

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.
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.
Exceptional verbal and written communication - able to explain a complex finding in two sentences to an executive.
Comfort working cross-functionally across operations, HR, finance, fleet, and dispatch.
Self-directed and proactive - you identify what needs to be measured, not just what you are asked to measure.
Comfortable presenting findings that are uncomfortable - the data tells the truth; you communicate it clearly and constructively.

Nice To Haves

Background in field service, logistics, last-mile delivery, fleet operations, or a similarly data-rich operational business strongly preferred.

Responsibilities

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 including workforce, fleet, dispatch, finance, and field operations.
Develop and maintain dashboards and scorecards in Power BI and Tableau for real-time KPI visibility for leadership and department heads.
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 insight depth.
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 provide data-backed recommendations.
Proactively surface trends, anomalies, and risks the business is not yet measuring before they become problems.