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Business Intelligence Analyst Data Analyst Jobs (NOW HIRING)

This role serves as the primary resource for Power BI development, data analysis, reporting automation, and business intelligence initiatives within the organization. The position partners closely ...

This role serves as the primary resource for Power BI development, data analysis, reporting automation, and business intelligence initiatives within the organization. The position partners closely ...

Transform complex data into clear reports, interactive dashboards, visualizations, and actionable ... intelligence, analytics, business operations or similar role * 2+ years minimum experience ...

$100 - $125/hr

Business Intelligence Analyst Location: Denver, CO Industry: Construction Materials / Heavy ... This role supports daily execution and strategic decision‑making by transforming complex data ...

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Business Intelligence Analyst Data Analyst information

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$45.5K

$99.9K

$163.5K

How much do business intelligence analyst data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for business intelligence analyst data analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What does a business intelligence analyst data analyst do?

A Business Intelligence Analyst Data Analyst collects, processes, and analyzes data to help organizations make informed business decisions. They use various tools and techniques to turn raw data into actionable insights, create reports and dashboards, and identify trends or patterns that can improve business operations. Their work often involves collaborating with different departments to understand data needs and presenting findings to stakeholders in a clear and concise manner.

What are the key skills and qualifications needed to thrive as a business intelligence analyst data analyst?

To thrive as a Business Intelligence Analyst/Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid educational background in fields like statistics, computer science, or business. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and programming languages like Python or R is typically required, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex findings into actionable business insights. These competencies enable you to turn data into strategic decisions, directly impacting organizational performance and growth.

How does a business intelligence analyst data analyst typically collaborate with other departments within an organization?

Business Intelligence and Data Analysts often work closely with teams across the organization, such as marketing, finance, operations, and IT. They gather requirements from stakeholders, translate business needs into data queries, and present actionable insights through reports or dashboards. Effective collaboration involves regular meetings to discuss findings, clarify data definitions, and ensure that analyses align with business objectives. This cross-functional teamwork helps drive data-informed decision-making throughout the company.

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

AspectBusiness Intelligence AnalystData Scientist
Required CredentialsBachelor's in Business, IT, or related field; certifications like Tableau or Power BIBachelor's or higher in Computer Science, Statistics, or related; advanced degrees often preferred
Work EnvironmentBusiness settings, reporting teams, data visualization toolsResearch labs, tech companies, data modeling environments
Employer & Industry UsageFinance, healthcare, retail, and other industries focusing on reporting and dashboardsTech, finance, healthcare, focusing on predictive modeling and complex data analysis

While both roles analyze data, Business Intelligence Analysts focus on creating reports and dashboards to support business decisions, whereas Data Scientists develop predictive models and advanced algorithms to uncover deeper insights. The roles often overlap but differ mainly in scope and technical complexity.

More about Business Intelligence Analyst Data Analyst jobs

What cities are hiring for Business Intelligence Analyst Data Analyst jobs?

Cities with the most Business Intelligence Analyst Data Analyst job openings:

What states have the most Business Intelligence Analyst Data Analyst jobs?

States with the most job openings for Business Intelligence Analyst Data Analyst jobs include:

Infographic showing various Business Intelligence Analyst Data Analyst job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $99,864 per year, or $48 per hour.

Business Intelligence Analyst

amphenol

Endicott, NY • On-site

Full-time

Re-posted 12 days ago


Job description

Amphenol IPC (AIPC) is the global leader in power distribution interconnect solutions for IT & Data Communications equipment, electric mobility, and industrial power conversion. We are driven by innovative, empowered, and creative teamwork, and build solutions that solve business challenges. Headquartered in Endicott, NY, and with operations in China and Mexico, AIPC is a division of Amphenol Corporation, a Fortune 500 company with over 90 years of experience in enabling the ongoing electronics revolution.

The Business Intelligence Analyst is responsible for developing, maintaining, and automating business reporting and analytics solutions that support decision-making across the organization. This role serves as the primary resource for Power BI development, data analysis, reporting automation, and business intelligence initiatives within the organization.

The position partners closely with Finance, Accounting, Operations, and Information Technology to transform data into meaningful insights, improve reporting efficiency, and support data-driven decision-making. This role is designed for an early-career professional with strong technical aptitude and analytical skills who is eager to develop expertise in business intelligence and enterprise reporting.

Key Responsibilities

Reporting & Dashboard Development

  • Develop, maintain, and enhance Power BI dashboards, reports, and visualizations that support Finance and business operations
  • Create recurring financial, operational, and management reports for internal stakeholders
  • Translate business requirements into meaningful reporting solutions and visualizations
  • Ensure accuracy, consistency, and reliability of data presented in reports and dashboards
  • Maintain documentation for reporting processes, calculations, and data sources

Data Analysis & Business Intelligence

  • Analyze business and financial data to identify trends, patterns, and opportunities for improvement
  • Support development and maintenance of data models, relationships, and calculations within Power BI
  • Assist with KPI development, performance metrics, and business scorecards
  • Validate data integrity and investigate reporting discrepancies
  • Support ad hoc reporting and analytical requests from Finance leadership and business partners

Data Automation & Systems Support

  • Develop and maintain SQL queries, data extracts, and automated reporting solutions
  • Identify opportunities to reduce manual reporting efforts through automation and process improvements
  • Support integration of ERP, financial, and operational data into reporting platforms
  • Assist with testing and implementation of reporting enhancements and system changes
  • Troubleshoot reporting issues and support users of business intelligence tools

Collaboration & Continuous Improvement

  • Partner with Finance, Accounting, Operations, and IT teams to understand reporting requirements
  • Provide training and support to end users on reporting tools and dashboards
  • Recommend improvements to reporting processes, data quality, and analytics capabilities
  • Stay current on emerging technologies and best practices related to business intelligence and data analytics
  • Contribute to continuous improvement initiatives across Finance and business operations

 

Qualifications

  • Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, Accounting, Mathematics, Statistics, or a related field
  • 0–3 years of experience in business intelligence, analytics, reporting, finance, accounting, or a related field
  • Proficiency in Microsoft Excel, including PivotTables, formulas, and data analysis tools
  • Working knowledge of Power BI or other business intelligence/reporting platforms
  • Basic understanding of SQL and relational databases
  • Strong analytical, problem-solving, and organizational skills
  • Ability to communicate technical information effectively to non-technical audiences
  • Demonstrated attention to detail and commitment to data accuracy
  • Experience in a manufacturing environment preferred but not required
  • Exposure to ERP systems, Power Query, DAX, Power Automate, or data visualization tools preferred

 

Physical Demands (with or without reasonable accommodations)

The physical demands described below are representative of those required to successfully perform the essential functions of this position.

  • Ability to remain in a stationary position for extended periods of time, with the ability to occasionally move throughout the work environment.
  • Ability to occasionally bend, push, and pull as required to perform job-related tasks.
  • Ability to adapt to changes in work processes, priorities, and environment.
  • Ability to apply mental processes to understand, interpret, and follow verbal and written instructions, and to perform job-related tasks accurately and efficiently.

The candidate must be able to legally work in the United States; we are unable to provide sponsorship. This position requires access to controlled technology that is subject to US export controls. Qualified candidates must be a US person (including US Citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3)) or eligible to obtain required authorization(s) from the U.S. Government.

Amphenol is a proud Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, sex, sexual orientation, gender identity or expression, national origin, age, protected veteran status, or disability status.