Senior BI Analyst: Revenue & AI Insights

4over,-LLC-1

Moonachie (NJ)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Health and Life Insurance

401(k) Retirement Plan

Holidays and PTO

Job summary

4over is seeking a Senior Business Intelligence Analyst in Moonachie, NJ to transform enterprise data into actionable insights that drive strategic decisions across Finance, Sales, Marketing, Operations, Manufacturing, and Supply Chain. You will develop executive dashboards, KPI reporting, and advanced analytics to improve financial and operational performance.

The role emphasizes ecommerce, commercial analytics, and customer behavior.

Qualifications

Bachelor’s degree in Finance, Data Analytics, Business Intelligence, or a related field.
5+ years of experience in Business Intelligence, Data Analytics, Commercial Analytics, FP&A, Revenue Analytics, or a related analytical role.
Experience analyzing large, complex datasets to identify insights that support revenue growth, profitability, and strategic decision-making.
Experience with financial modeling, statistical and predictive analytics, pricing analysis, customer analytics, trend analysis, and profitability analysis.
Experience developing executive dashboards, KPI scorecards, and business performance reporting.
Experience partnering cross-functionally with Sales, Marketing, Product Management, Operations, and Finance.
Experience presenting analytical findings and recommendations to senior leadership.
Experience in eCommerce, retail, printing, manufacturing, distribution, or other high-volume B2B/B2C environments preferred.
Experience working with dynamic pricing and rapidly changing product catalogs preferred.
MBA or related master’s degree preferred.

Responsibilities

Design, develop, and maintain enterprise dashboards, KPI scorecards, and automated reporting solutions for Executive Leadership and business stakeholders.
Develop scalable Business Intelligence solutions utilizing Tableau, SQL, Alteryx, Excel, and other reporting platforms.
Establish standardized KPI definitions and reporting methodologies across functional areas.
Partner with IT to improve data quality, governance, reporting architecture, automation, and self-service analytics capabilities.
Ensure accuracy, consistency, and appropriate governance across enterprise reporting environments.
Analyze sales performance across products, brands, customers, channels, and geographic markets to identify revenue and margin opportunities.
Analyze customer purchasing behavior, product affinity, acquisition, retention, lifetime value, and channel performance.
Evaluate promotional effectiveness, pricing changes, and marketing campaign performance.
Partner with Sales, Marketing, and E-Commerce to identify growth opportunities and improve commercial and website performance.
Develop customer segmentation and analytical models that improve targeting and personalization.
Analyze product and catalog performance and provide data-driven recommendations to Product Management.
Identify underperforming SKUs and opportunities for product rationalization or optimization.
Identify new product opportunities based on customer demand, purchasing behavior, and industry trends.
Develop predictive models supporting sales forecasting, demand planning, customer behavior, and pricing optimization.
Perform statistical and sensitivity analyses to identify trends, evaluate scenarios, and support strategic decision-making.
Develop dashboards and reporting for Manufacturing, Operations, Supply Chain, Customer Service, and Distribution.
Analyze production performance, capacity utilization, labor productivity, inventory, fulfillment, and other operational KPIs.
Identify improvement opportunities and provide actionable insights that support operational efficiency and continuous improvement.
Collaborate with Sales, Marketing, E-Commerce, Product Management, Operations, Finance, and Technology to support data-driven decision-making.
Translate complex analytical findings into clear, actionable business recommendations.
Present insights and recommendations to senior leadership and serve as a trusted advisor on business performance and analytics.
Identify opportunities to leverage AI and advanced analytics to improve reporting automation, forecasting, pricing, customer insights, and decision-making.