Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

HireNexus

Senior Business Intelligence Analyst

Career Insights for Business Intelligence Analyst

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on New Jersey data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Business Intelligence Analyst collects and analyzes data that provides an accurate picture of business operations and performance for a company. Completes statistical analysis of current and historic business data, identifies trends and develops projections. Presents data analysis that informs planning and strategic decision making for a company.

$90,678 / year median in New Jersey

+11% projected growth

Explore Career

Job Description

Senior Business Intelligence Analyst
CATEGORY
Finance
LOCATION
Hackensack, New Jersey SALARY $140,000 - $160,000 JOB
REFERENCE
248405 Job Description Senior Business Intelligence Analyst The Senior Business Intelligence Analyst is responsible for transforming complex data into actionable insights that support strategic decision-making across the organization. This role partners closely with Finance, Sales, Marketing, Operations, Product Management, and executive leadership to develop dashboards, KPI reporting, and business intelligence solutions that improve financial and operational performance. The ideal candidate is passionate about leveraging data, automation, and advanced analytics to identify trends, enhance reporting capabilities, and deliver meaningful insights that drive business growth, operational efficiency, and informed decision-making. Candidates will have the opportunity to work in a hybrid work environment. Responsibilities Design, develop, and maintain enterprise dashboards, KPI scorecards, and automated reporting that provide timely, actionable insights for executive leadership and business stakeholders. Analyze large, complex data sets to identify trends, risks, and opportunities that improve financial, operational, and commercial performance. Partner with Finance, Sales, Marketing, Operations, Product Management, Customer Service, and other business leaders to support strategic initiatives through data-driven analysis. Develop business intelligence solutions using SQL, Tableau, Power BI, Excel, and other reporting tools to improve data accessibility and decision-making. Build analytical models, forecasts, and scenario analyses that support business planning, customer analytics, revenue optimization, operational performance, and growth initiatives. Monitor key business metrics and develop reporting that measures operational effectiveness, customer behavior, profitability, and overall business performance. Collaborate with IT and data teams to improve data quality, reporting architecture, governance, and automation across enterprise reporting platforms. Identify opportunities to streamline reporting processes, automate recurring analyses, and leverage AI-enabled technologies to enhance business intelligence capabilities. Present analytical findings and strategic recommendations to executive leadership, translating complex data into meaningful business insights. Support cross-functional projects and continuous improvement initiatives that strengthen enterprise reporting and analytics. Qualifications Bachelor's degree in Business Intelligence, Data Analytics, Finance, Information Systems, Computer Science, or a related field; Master's degree preferred. 5-8+ years of experience in Business Intelligence, Data Analytics, FP&A, Commercial Analytics, or another data-driven analytical role. Proven experience developing executive dashboards, KPI reporting, and business intelligence solutions that support strategic and operational decision-making. Advanced proficiency with SQL and business intelligence platforms such as Tableau, Power BI, or similar visualization tools. Experience working with cloud-based data warehouses, ERP systems, CRM platforms, and large relational data sets. Strong analytical skills with experience performing trend analysis, forecasting, predictive analytics, statistical analysis, and business performance reporting. Experience leveraging automation, AI, and emerging analytics technologies to improve reporting efficiency and business insights is highly desirable. Advanced Microsoft Excel skills, including Power Query, Power Pivot, and complex data analysis. Strong communication and presentation skills with the ability to influence business decisions through data-driven recommendations. Highly organized, collaborative, and self-motivated with the ability to manage multiple priorities in a fast-paced environment.