BI Analytics Engineer

Stord•Atlanta, GA

About The Position

Stord is seeking a highly analytical, detail-oriented Business Intelligence Analyst to join its Strategy team and partner closely with senior leadership. The role owns reporting, dashboards, and analysis that support executive decision-making and communicate business performance to the Board of Directors, investors, and internal leadership. It involves turning complex business questions into clear insights and building scalable, repeatable reporting. The role works closely with Strategy, Finance, and senior leadership, with significant exposure to the executive team. It includes executive, Board, and investor reporting; business and financial reporting; dashboard and business intelligence development; and analysis across multiple systems and data sources. Success means building reliable reporting infrastructure that helps leaders understand performance, changes and their drivers, progress against plans, and areas requiring attention.

Requirements

3–6+ years of experience in business intelligence, data analytics, strategic finance, FP&A, or a similar analytical role.
Strong SQL skills and experience working with large or complex datasets.
Strong Excel or Google Sheets skills.
Experience building dashboards in Power BI, Tableau, Looker, or a similar BI platform.
Strong understanding of financial and operational metrics.
Exceptional attention to detail and a high bar for data accuracy.
Ability to work independently and take an ambiguous question from idea through analysis to executive-ready output.
Strong communication skills and ability to explain complex data clearly to non-technical audiences.
Ability to manage multiple priorities in a fast-paced environment.
Strong SQL proficiency and semantic data layer experience.

Nice To Haves

Experience supporting a CEO, CFO, Strategy team, or executive leadership team.
Experience with Board or investor reporting.
Experience in FP&A or financial reporting.
Experience in a high-growth technology, logistics, e-commerce, or SaaS company.
Experience working with data warehouses and modern data stacks.
Experience automating recurring reporting.
Python or other analytical programming experience.
Strong understanding of how financial, operational, and commercial metrics connect.

Responsibilities

Build and maintain dashboards and reporting for Board meetings, investor materials, executive reviews, and leadership meetings.
Own the data and analysis behind key company metrics.
Partner with Strategy and Finance on recurring reporting and investor materials.
Translate business performance into clear executive-ready insights and visualizations.
Investigate performance changes and identify their key drivers.
Build recurring reporting on revenue, margin, EBITDA, operating expenses, headcount, sales, customer performance, and other business metrics.
Support actuals-versus-budget-versus-forecast reporting.
Work with Finance to ensure reporting is accurate, consistent, and aligned with financial statements and company planning.
Automate manual reporting and reduce reliance on spreadsheets and one-off analyses.
Build and own executive dashboards that provide a clear view of company performance.
Develop dashboards and reporting for leadership meetings across Sales, Operations, CX, Finance, and People.
Establish consistent KPI definitions and a single source of truth for critical business metrics.
Improve how leaders access and consume data across the organization.
Pull, analyze, and reconcile data across multiple systems and data sources.
Identify data quality issues and work with relevant teams to resolve them.
Turn ambiguous business questions into structured analyses and actionable recommendations.
Build repeatable processes and automated reporting wherever possible.