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Senior Business Intelligence Engineer Jobs in Decatur, GA

Infojini Inc

Sr Business Analyst with Taleo Exp

Atlanta, GA · On-site

$89K - $114.90K/yr

Job details mentioned below Title: Sr Business Analyst with Taleo Exp Location: Atlanta, GA ... Proficient in Oracle Business Intelligence Reporting Knowledge of Oracle PeopleSoft HCM 9.2; Core H ...

Novelis

Senior Business Analyst

Atlanta, GA · On-site

$89K - $114.90K/yr

... intelligence, and sustainability, reporting to the Commercial Strategy Manager for North America ... Bachelor's Degree or higher in Business, Finance, or Engineering * Minimum 5+ years of work ...

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See Decatur, GA salary details

$58.1K

$123.6K

$179.2K

How much do senior business intelligence engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for senior business intelligence engineer in Decatur, GA is $123,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,100.00 per year, depending on experience, location, and employer.

What is a Senior Business Intelligence Engineer job?

A Senior Business Intelligence (BI) Engineer is responsible for designing, developing, and optimizing data solutions that support business decision-making. They work with large datasets, build data models, and create dashboards or reports to provide insights. Their role involves collaborating with stakeholders to understand business needs, ensuring data accuracy, and improving data infrastructure. They often use SQL, ETL tools, and BI platforms like Power BI or Tableau. Additionally, they may mentor junior team members and contribute to data strategy.

What are the key skills and qualifications needed to thrive in the Senior Business Intelligence Engineer position, and why are they important?

To excel as a Senior Business Intelligence Engineer, you must have strong analytical skills, deep proficiency in data modeling and SQL, experience with BI tools, and a relevant degree in computer science or a related field. Familiarity with platforms such as Tableau, Power BI, and ETL processes, along with certifications like Microsoft Certified: Data Analyst Associate, are highly valuable. Excellent problem-solving abilities, collaboration, and clear communication are critical soft skills. These competencies are essential for transforming complex data into actionable insights that drive business strategies effectively.

What are the typical day-to-day responsibilities of a Senior Business Intelligence Engineer?

Senior Business Intelligence Engineers generally spend their days designing, developing, and maintaining data models, dashboards, and reports to support business decision-making. They collaborate closely with data analysts, business stakeholders, and IT teams to translate requirements into impactful BI solutions. Regular tasks may include optimizing database queries, ensuring data integrity, and providing technical guidance to junior engineers. The role often involves troubleshooting data discrepancies and proactively identifying ways to improve reporting processes.
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Principal Business Intelligence Analyst

Principal Business Intelligence Analyst

OneTrust

Atlanta, GA

Other

Posted 21 days ago

Job description

The Challenge

As the BI Analyst within the R&D Operations team, you will play a pivotal role in driving operational excellence and delivering impactful data insights to support our global Product Management and Engineering teams. You will leverage data to influence decision-making, lead analytics projects from end to end, and provide strategic insights to enhance our Product Management and Engineering processes. The ideal candidate thrives in a hands-on analytics environment, has a strong background in data analytics, experience with SaaS Product and/or Engineering, and is eager to design metrics, solve complex problems, and drive reporting excellence.  

Your Mission

Data Analysis & Reporting  

  • Develop and maintain dashboards and analytical reports to track key Product and Engineering velocity, quality, reliability metrics, and provide actionable insights.  
  • Analyze Product and Engineering data to identify trends, challenges, and opportunities, supporting decision-making across multiple functions.  
  • Create predictive models and scenario analyses to improve product strategies and planning, and engineering performance.  

Operational Support  

  • Lead end-to-end execution of Product and Engineering analytics projects, from scoping requirements to delivering impactful results.  
  • Develop and implement key performance indicators (KPIs) and metrics to measure and improve Product and Engineering effectiveness.  
  • Build, maintain, and deliver high-quality dashboards and reports that provide clear visibility into R&D performance.  
  • Analyze complex data sets to identify trends, solve problems, and uncover opportunities.  
  • Partner with Product and Engineering Operations, Strategy, HR, Finance, and other business functions to align R&D operations with broader organizational objectives.  
  • Provide ad-hoc operational and analytical support to Product and Engineering leaders as needed, ensuring smooth daily operations.  
  • Evaluate, implement, and optimize analytics tools to enhance reporting capabilities and streamline R&D operations.  
You Are
  • Analytical and Data-Driven: You have a strong aptitude for interpreting complex data and translating it into actionable insights.  
  • Highly Organized: You thrive in fast-paced environments, managing multiple priorities with precision and attention to detail.  
  • Tech-Savvy: Proficient in Microsoft Power BI and advanced Excel; experience with Snowflake is a plus.  
  • A Collaborative Problem Solver: You enjoy working with cross-functional teams to address challenges and drive meaningful improvements.  
  • Change-Oriented: Comfortable navigating ambiguity and leading initiatives that challenge the status quo.  

Your Experience Includes 

  • Bachelor's degree in Business Intelligence, Data Analytics, or a related field.  
  • 4-6+ years in Business Intelligence, Data Analytics, or a related analytics role.  
  • Demonstrated ability to analyze large datasets and deliver clear, actionable insights.  
  • Experience handling sensitive and confidential information with discretion.  
  • Proficiency in SQL for data extraction from data warehouses and performing data transformations.  
  • Proficiency in utilizing Power BI to develop data models and dashboards. 
  • Familiar with modern SaaS product development processes 

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