Job Description

Responsibilities: Deliver and maintain data assets and dashboards that provide scalable insights across the organization, with a strong emphasis on Power BI reporting and visualization. Conduct ongoing financial reporting, variance analysis, and ad hoc analyses to support operational leaders in strategic decision-making. Drive deep operational and sales analysis, including fleet utilization, volume pricing strategies, and expansion planning. Build and maintain scalable data models that support financial forecasting, performance tracking, and business growth initiatives. Collaborate cross-functionally with stakeholders to prioritize analytical projects aligned with business goals, ensuring clear financial and operational impact. Partner with business leaders to evaluate and model new opportunities, translating complex data into actionable insights that drive business performance. Develop, maintain, and standardize dashboards and key performance metrics to track business health and guide executive decisions. Act as a bridge between business problems and technical solutions, working closely with both technical and non-technical teams to implement data-driven strategies. Support company-wide analytical strategy through training, documentation, and evangelizing best practices across the organization. Work alongside IT and data teams to expand access to accurate and timely data, contributing to continuous improvement of data pipelines and availability. Lead cross-functional project scoping and execution, developing clear roadmaps and aligning technical delivery with strategic objectives. Qualifications: ~2+ years of experience in an analytics or financial analysis role within a mid-to-large sized company. ~ Strong hands-on experience with Power BI for dashboard creation, data visualization, and reporting. ~ Proficient in financial reporting, variance analysis, and building data models that support strategic business decisions. ~ Demonstrated ability to translate operational and sales data into actionable insights for senior leadership. ~ Advanced SQL skills, including writing and optimizing queries across large datasets in relational databases and data warehouses. ~ Deep understanding of business processes with strong financial and operational acumen; able to model scenarios such as pricing strategy, fleet optimization, and market expansion. ~ Technically savvy and comfortable working across structured and unstructured datasets in a fast-paced, data-driven environment. ~ Proven success in working cross-functionally to deliver end-to-end analytical solutions, from scoping requirements to delivering insights. ~ Strong communication skills, with the ability to explain complex data findings to both technical and non-technical stakeholders. ~ Experience creating and maintaining internal documentation, training materials, and best practices for scalable team adoption. Preferred Requirements: Experience designing and managing data pipelines, including ETL/ELT workflows and job scheduling systems. Familiarity with enterprise data platforms and tools beyond Power BI (e.g., Looker, Tableau, Snowflake). Background in operational, sales, or financial planning analytics is highly preferred. Experience supporting or leading market expansion initiatives from a financial and operational perspective.

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