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Senior Analyst, Business Intelligence

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: 4over
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Regular Full Time INDIRECT Moonachie, NJ, US

Salary Range: $ To $ Annually

At 4over, we are committed to building a diverse and inclusive workplace welcoming to people of all backgrounds. We take pride in fostering a safe environment for all employees.

SUMMARY:

The Senior Business Intelligence Analyst is responsible for transforming enterprise data into actionable insights that drive strategic decision-making across the organization. This role serves as a trusted analytical partner to Finance, Sales, Marketing, Operations, Manufacturing, Supply Chain, Customer Service, Product Management, Human Resources, and Executive Leadership by developing business intelligence solutions, executive dashboards, KPI reporting, and advanced analytics that improve financial and operational performance.

While supporting enterprise-wide business intelligence initiatives, this position maintains a strong emphasis on e-commerce and commercial analytics, including customer behavior, digital commerce performance, product portfolio analysis, marketing effectiveness, and sales performance. The role is expected to proactively identify business opportunities, improve reporting automation, and leverage advanced analytics and AI technologies to enhance decision‑making throughout the organization.

Salary Range: $120,000- $150,000 annually. Compensation commensurate with experience.

DUTIES AND 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.
Commercial & Revenue Analytics
  • 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.
Advanced Analytics
  • 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.
Operational Analytics
  • 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.
Cross‑Functional Business Partnering
  • 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.
Artificial Intelligence & Analytics Innovation
  • Identify and implement opportunities to…
Position Requirements
10+ Years work experience
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