Top Senior Level Business Intelligence Jobs in Birmingham, AL

18+ Job Results

CFGI

Data & Analytics - Senior Manager

8 Days Ago

United States

Remote

916 Employees

Senior level

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916 Employees

Senior level

Consulting • Financial Services

As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.

Cask

ServiceNow Business Process Consultant

8 Days Ago

United States

Remote

281 Employees

Senior level

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281 Employees

Senior level

Other • Consulting

The ServiceNow Business Process Consultant will help clients adopt ServiceNow best practices by analyzing business needs, leading process improvement workshops, and ensuring solutions align with client expectations. They will also manage client relationships and provide mentoring to team members while acting as the Subject Matter Expert in relevant areas.

Raptive

Lead Data Analyst - AdCode

13 Days Ago

United States

Remote

509 Employees

180K-220K Annually

Senior level

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509 Employees

180K-220K Annually

Senior level

AdTech • Digital Media • Information Technology • Sales

The Lead Data Analyst will manage a small team while collaborating with Product and Engineering teams to create scalable reporting, analyze A/B tests, and develop revenue dashboards. Responsibilities include providing insights to drive revenue for a network of creators and handling multiple projects with attention to detail.

VISTRADA

Senior Data Systems Engineer - BI

23 Days Ago

2 Locations

Remote

31 Employees

Senior level

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31 Employees

Senior level

Business Intelligence • Consulting

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.