

Business Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include 3-6 years of experience in data analysis, proficiency in SQL, and expertise in Tableau. A graduate degree is preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 27, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Atlanta, GA
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π§ - Skills detailed
#Data Analysis #Computer Science #SQL (Structured Query Language) #Statistics #Datasets #Tableau #SAS #BI (Business Intelligence) #Programming #Visualization #Data Mining #Mathematics #AI (Artificial Intelligence)
Role description
We are seeking a talented Business Intelligence Engineer to join our dynamic team. In this role, you will leverage data to drive strategic decisions and enhance customer experiences.
Responsibilities
β’ Evaluate the performance of program features and marketing content based on customer response and engagement metrics.
β’ Conduct statistical testing for A/B and multivariate experiments to optimize business strategies.
β’ Design, build, and maintain metrics and reports to monitor program health and effectiveness.
β’ Respond to ad hoc requests from business leaders to analyze critical aspects of customer behavior.
β’ Utilize data mining and analytical techniques to identify trends and insights within large-scale datasets.
β’ Collaborate with cross-functional teams to ensure data-driven decisions align with business objectives.
Skills
β’ 3-6 years of experience working with complex datasets and data analysis.
β’ Proficiency in SQL and experience with Tableau and QuickSight for data visualization.
β’ Strong analytical mindset with the ability to translate business requirements into actionable analytical plans.
β’ Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.
Preferred Skills
β’ Experience in statistical analysis and programming, with a background in marketing or related fields.
β’ Familiarity with SAS or similar analytical tools.
β’ A graduate degree in a relevant field such as mathematics, statistics, or computer science is highly desirable.
We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
We are seeking a talented Business Intelligence Engineer to join our dynamic team. In this role, you will leverage data to drive strategic decisions and enhance customer experiences.
Responsibilities
β’ Evaluate the performance of program features and marketing content based on customer response and engagement metrics.
β’ Conduct statistical testing for A/B and multivariate experiments to optimize business strategies.
β’ Design, build, and maintain metrics and reports to monitor program health and effectiveness.
β’ Respond to ad hoc requests from business leaders to analyze critical aspects of customer behavior.
β’ Utilize data mining and analytical techniques to identify trends and insights within large-scale datasets.
β’ Collaborate with cross-functional teams to ensure data-driven decisions align with business objectives.
Skills
β’ 3-6 years of experience working with complex datasets and data analysis.
β’ Proficiency in SQL and experience with Tableau and QuickSight for data visualization.
β’ Strong analytical mindset with the ability to translate business requirements into actionable analytical plans.
β’ Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.
Preferred Skills
β’ Experience in statistical analysis and programming, with a background in marketing or related fields.
β’ Familiarity with SAS or similar analytical tools.
β’ A graduate degree in a relevant field such as mathematics, statistics, or computer science is highly desirable.
We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.