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Business Intelligence Professional Jobs in Delaware

... Business Intelligence Professional (CBIP) accreditation Experience supporting financial applications Experience with Financial services data Additional Information All your information will be kept ...

$15.75 - $19.75/hr

That structure includes three professional leagues: Gainbridge Super League (women), USL ... Business Intelligence UWEP supports the department by assisting with maintaining and developing ...

$14.75 - $18.50/hr

That structure includes three professional leagues: Gainbridge Super League (women), USL ... Business Intelligence UWEP supports the department by assisting with maintaining and developing ...

$13.75 - $17.25/hr

That structure includes three professional leagues: Gainbridge Super League (women), USL ... Business Intelligence UWEP supports the department by assisting with maintaining and developing ...

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Business Intelligence Professional information

See Delaware salary details

$29.5K

$114.4K

$167.6K

How much do business intelligence professional jobs pay per year?

As of Sep 6, 2026, the average yearly pay for business intelligence professional in Delaware is $114,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a business intelligence professional?

A Business Intelligence (BI) Professional is a specialist who uses data analysis tools and techniques to help organizations make informed business decisions. They collect, process, and analyze large volumes of data to generate actionable insights, often using dashboards and reports. BI professionals work closely with stakeholders to identify business needs, design data-driven solutions, and improve operational efficiency. Their expertise is crucial in transforming raw data into meaningful information that can drive strategic planning and competitive advantage.

What are the key skills and qualifications needed to thrive as a business intelligence professional, and why are they important?

To thrive as a Business Intelligence Professional, you need strong analytical abilities, data modeling expertise, and proficiency in databases—often supported by a degree in computer science, information systems, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes certifications such as Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for translating complex data into actionable insights for stakeholders. These competencies enable informed decision-making and drive business growth by turning raw data into strategic information.

What are some common challenges faced by business intelligence professionals when working with cross-functional teams?

Business Intelligence Professionals often collaborate with stakeholders from various departments such as marketing, finance, and operations. A common challenge is translating complex data insights into actionable recommendations that are easily understood by non-technical team members. Additionally, BI professionals must ensure data consistency and accuracy while managing differing priorities and timelines across teams. Effective communication and a proactive approach to understanding each department’s needs are key to overcoming these challenges and delivering value through data-driven solutions.

What is the difference between Business Intelligence Professional vs Data Analyst?

AspectBusiness Intelligence ProfessionalData Analyst
CredentialsOften requires BI certifications, SQL, and data visualization skillsTypically needs statistical, analytical, and SQL skills, with certifications like CAP or Microsoft certifications
Work EnvironmentWorks with BI tools, dashboards, and data warehouses in corporate settingsAnalyzes data sets, creates reports, and visualizations, often in finance, marketing, or operations
Industry UsageCommonly employed in business intelligence teams across industriesWidely used in various sectors for data-driven decision making

Business Intelligence Professionals focus on designing and managing BI systems, dashboards, and data warehouses, while Data Analysts primarily analyze data sets and generate reports. Both roles require strong analytical skills and familiarity with SQL and data visualization tools, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Business Intelligence jobs in Delaware?

The most popular types of Business Intelligence jobs in Delaware are:

What cities in Delaware are hiring for Business Intelligence Professional jobs?

Cities in Delaware with the most Business Intelligence Professional job openings:

Vice President- Business Intelligence Development Lead

JPMorgan Chase & Co.

Wilmington, DE • On-site

$100 - $130/hr

Other

Re-posted 8 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Are you ready to lead the future of workforce analytics? Join our team as a Business Intelligence leader and help shape data-driven strategies for a global organization. You’ll collaborate with Human Resources (HR) and business partners, champion self-service analytics, and deliver innovative Business Intelligence solutions using cloud technologies. If you’re passionate about empowering teams and driving continuous improvement, this is an opportunity to make a meaningful impact.

As a Business Intelligence Development Lead in the Employee Experience team, you promote the development and delivery of advanced analytics solutions to support Human Resources and business strategies. You partner closely with stakeholders to translate business needs into technical solutions, ensure data governance and quality, and foster a culture of self-service analytics. You bring leadership experience, expertise in cloud-based business intelligence platforms, and a strong background in data visualization and integration.

Job responsibilities
  • Partner with Human Resources and business leaders to understand requirements and deliver actionable workforce insights.
  • Lead the development of self-service analytics capabilities, enabling users to independently explore data and generate insights.
  • Ensure data integrity, security, and compliance across all business intelligence solutions, maintaining high standards for governance and quality.
  • Monitor business intelligence solution performance, gather user feedback, and implement enhancements for continuous improvement.
  • Manage and mentor a team of business intelligence professionals, fostering collaboration and professional growth.
  • Integrate business intelligence tools with cloud data platforms, preferably Databricks, to optimize analytics delivery.
Required qualifications, capabilities, and skills
  • Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field.
  • Five years of experience in a Business Intelligence role within a large, complex organization.
  • Two years of direct team leadership experience.
  • Demonstrated success delivering Business Intelligence solutions in cloud environments.
  • Expertise in building Business Intelligence solutions using Tableau, Qlik, Power BI, or Sigma.
  • Strong understanding of data visualization, dashboard design, and self-service analytics.
  • Excellent communication, stakeholder management, and project management skills.
  • Ability to translate complex business requirements into technical solutions.
  • Experience with Talent Acquisition data analytics, including pipeline and funnel metrics and hiring manager and recruiter performance reporting.
Preferred qualifications, capabilities, and skills
  • Master’s degree in a relevant field.
  • Knowledge of Human Resources data and analytics in a multi-national organization.
  • Experience partnering with Human Resources and business leaders to deliver workforce insights.
  • Experience integrating Business Intelligence tools with cloud data platforms, especially Databricks.
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