Business Intelligence Analyst
Arconic
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Norcross, GA · Posted November 4, 2026
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Where Norcross, GA ranks
Where Norcross, GA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Cities with the most hybrid jobs in the Southeast17% · of 84
- #2Best cities for junior jobs in Georgia44% · of 10
- #6Best cities for junior jobs in the Southeast44% · of 87
- #21Cities where the biggest share of jobs do not need a four-year degree in the Southeast18% · of 69
- #23Best cities for AI-skill jobs in the Southeast7% · of 87
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
In this role, you will: - Design, develop, and maintain analytics, intelligence, and visualization solutions that support operational and strategic decision-making.
- Create dashboards, KPIs, semantic models, and analytical experiences that improve how business information is consumed and understood.
- Leverage AI-assisted analytics, self-service capabilities, and modern Microsoft technologies to improve insight generation and analytical productivity.
- Partner with business stakeholders to translate business questions into meaningful analytical solutions and actionable insights.
- Improve the accessibility, consistency, quality, and trustworthiness of enterprise data and intelligence assets.
- Support and enhance Power BI, Microsoft Fabric, and related analytics platforms.
- Evaluate emerging analytics, visualization, and AI capabilities and apply them where they provide measurable business value.
Also note: - Analytics and intelligence solutions become more intuitive, flexible, and widely adopted.
- Business users gain faster access to meaningful information and insights.
- Self-service and AI-assisted analytics capabilities expand across the organization.
- Enterprise data and intelligence assets become more consistent, scalable, and valuable.
- Analytics and visualization capabilities continue to evolve in support of Kawneer's digital transformation.