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Senior Business Intelligence Jobs (NOW HIRING)

TeemaGroup

Business Intelligence Analyst Senior

Irving, TX · On-site

$51 - $52/hr

Job Summary Business Intelligence Analyst Senior TeemaGroup Full-time, Contract In-Office | Irving, TX, United States Senior Business Intelligence Analyst Onsite | Irving, TX Why This Role Matters As ...

Orion

Senior Business Intelligence Analyst

Omaha, NE · Hybrid

$83K - $127K/yr

The Senior Business Intelligence Analyst at Orion enables a data driven decision-making culture by providing insights at the point of decision. Leveraging exploratory analysis and a strong ...

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How much do senior business intelligence jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for senior business intelligence in the United States is $60.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $64.66 per hour, depending on experience, location, and employer.

What is the difference between Senior Business Intelligence vs Business Intelligence Analyst?

AspectSenior Business IntelligenceBusiness Intelligence Analyst
Required CredentialsBachelor's degree, often with experience or certifications in data analysis or BI toolsBachelor's degree, certifications in data analysis or BI tools preferred
Work EnvironmentLeads projects, mentors team, strategic planningAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries for strategic rolesCommonly employed in various sectors for data analysis

Senior Business Intelligence roles typically involve leading projects, mentoring teams, and strategic planning, whereas Business Intelligence Analysts focus on data analysis, report creation, and supporting decision-making. Both roles require similar credentials and are integral to data-driven organizations, but the senior position emphasizes leadership and strategy.

What are some common challenges faced by Senior Business Intelligence professionals when working with cross-functional teams?

Senior 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 clear, actionable recommendations for colleagues who may not have a technical background. Additionally, managing differing priorities and ensuring data accuracy across multiple sources can be demanding. Success in this role requires strong communication, stakeholder management, and problem-solving skills to bridge the gap between data analysis and business strategy.

What are the key skills and qualifications needed to thrive as a Senior Business Intelligence professional, and why are they important?

A Senior Business Intelligence professional needs expertise in data analysis, data modeling, and reporting, typically backed by a degree in computer science, statistics, or a related field. Strong command of BI tools such as Tableau, Power BI, SQL, and possibly certifications in these platforms are highly valuable. Analytical thinking, problem-solving ability, and effective communication skills set top performers apart in this role. These skills enable the professional to turn complex data into actionable insights that drive organizational decision-making and strategy.

What is a Senior Business Intelligence Analyst?

A Senior Business Intelligence Analyst is a professional who leverages data to help organizations make strategic decisions. They design and manage BI solutions, analyze complex business data, and present insights to leadership teams. Their role often involves working with data warehousing, reporting tools, and collaborating with various departments to improve business processes. Senior BI Analysts are also responsible for mentoring junior analysts and ensuring data quality and governance. They play a critical role in transforming raw data into actionable business strategies.
More about Senior Business Intelligence jobs
What cities are hiring for Senior Business Intelligence jobs? Cities with the most Senior Business Intelligence job openings:
What are the most commonly searched types of Business Intelligence jobs? The most popular types of Business Intelligence jobs are:
What states have the most Senior Business Intelligence jobs? States with the most job openings for Senior Business Intelligence jobs include:
Senior Business Intelligence jobs near you
Infographic showing various Senior Business Intelligence job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $124,929 per year, or $60.1 per hour.
Senior Business Intelligence Analyst

Senior Business Intelligence Analyst

SOLID Surface Care, Inc.

Charlotte, NC • On-site

Full-time

Posted 9 days ago

Job description

Description
Senior Business Intelligence Analyst
We are seeking a highly skilled and experienced Senior Business Intelligence Analyst to join our dynamic Business Intelligence and Technology Services Team. As a Senior BI Analyst, you will play a key role in driving data-driven decision-making across the organization. This role will partner with business stakeholders to gather requirements, analyze data, optimize business processes, and support enterprise reporting and system integration. The ideal candidate has a strong understanding of relational databases and hands-on experience writing complex SQL queries involving joins, subqueries, aggregations, stored procedures, and performance optimization techniques.
Key Responsibilities:
• Collaborate with business stakeholders to gather, document, and analyze business and system requirements.
• Translate business needs into functional and technical specifications.
• Analyze large datasets to identify trends, anomalies, and business insights.
• Design, write, test, and optimize advanced SQL queries for reporting, auditing, and operational analysis.
• Develop complex SQL logic using:
o INNER, LEFT, RIGHT, and FULL OUTER JOINS
o UNION / UNION ALL
o Common Table Expressions (CTEs)
o Subqueries and correlated queries
o Window functions
o Aggregate functions and GROUP BY logic
o Stored procedures, views, and temporary tables
• Work within Azure Synapse Analytics and Power BI to support data modeling, reporting, and analytics initiatives.
• Validate and reconcile data across multiple source systems in the data warehouse.
• Support ETL/data integration processes and assist with data mapping activities.
• Partner with Finance, Operations and Commercial teams to troubleshoot data quality and performance issues.
• Create dashboards, KPIs, and operational reports using BI tools.
• Participate in system testing, UAT coordination, and defect resolution.
• Document workflows, system processes, and technical specifications.
• Recommend process improvements and automation opportunities.
• Gain a clear understanding of all data, fields and objects being reported on. Own the data.
• Flexibility is required to accommodate evolving business objectives.
Qualifications:
• Bachelor's degree in computer science, Information Systems, Business Analytics, Computer Science or a related field; advanced degree preferred.
• 5 years of experience in business intelligence, data analysis, or related roles.
• Advanced SQL experience with demonstrated ability to write and optimize complex queries.
• Hands-on experience with Azure Synapse Analytics, SQL data warehouses, or cloud-based analytics platforms.
• Strong understanding of relational database concepts and data modeling.
• Solid understanding of basic accounting principles for financial report and dashboard building to include metrics such as Revenue Growth Rate, Profit Margin, EBITDA, Cash Flow from Operations, Working Capital Ratio, Debt-to-Equity Ratio, ROI, DSO, Inventory Turnover Ratio, Operating Expense Ratio, CAC, Churn Rate, ROA, Gross Profit Margin, and Capex to Revenue Ratio.
• Experience supporting rolling forecast models and financial planning cycles, including common forecasting formats such as 3+9 (Q1), 6+6 (Q2), and 9+3 (Q3), where actual financial results are combined with forecasted projections to maintain accurate year-end outlooks.
• Ability to analyze variances between actuals and projections, providing leadership with actionable insights to adjust spending, optimize resource allocation, and support informed business decision-making.
• Excellent analytical and problem-solving skills with the ability to work with large datasets.
• Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams.
• Proven track record of delivering high-quality BI solutions that meet business requirements.
• [Certifications or additional skills relevant to the role]
Technical Skills
• Advanced SQL Query Development
• Azure Synapse Analytics
• SQL Server / Azure SQL
• Data Warehousing Concepts
• ETL & Data Integration
• Query Optimization & Performance Tuning
• Business Requirements Analysis
• Data Validation & Reconciliation
• Power BI / Tableau / SSRS
• Azure Data Factory (ADF)
• Jira / Confluence
• Microsoft Excel
Sample SQL & Data Warehouse Competencies Expected
Candidates should be comfortable:
• Writing advanced SQL queries involving multiple-table joins and nested logic
• Creating optimized queries against large-scale data warehouse environments
• Developing CTEs, window functions, and analytical SQL calculations
• Troubleshooting slow-running queries and tuning performance
• Working with Azure Synapse Analytics serverless pools and dedicated SQL pools
• Supporting ETL validation and data reconciliation processes
• Building reusable views, stored procedures, and reporting datasets
• Validating enterprise data across operational and analytical systems

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