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Avum Inc.

BI Reporting & AI Analyst

The BI Reporting & AI Analyst role involves designing and maintaining business intelligence dashboards and reports, leveraging advanced analytics and AI to improve data quality and accelerate ...

Timken

Principal AI Analyst

North Canton, OH · On-site

We are hiring a Principal AI/ML Analyst & Developer to design, build, and deploy scalable AI, data, and applications across the enterprise. You will work end-to-end (data ingestion modeling API/UI ...

AVUM INC

BI Reporting & AI Analyst

Malibu, CA · On-site

Leverages advanced analytics, emerging AI, and automation capabilities to enhance reporting workflows, improve data quality, and accelerate analytics delivery. Key Responsibilities * Design, build ...

ARS-Rescue Rooter

Threat Vulnerability AI Analyst

Run external/internal vulnerability and application/software scans; analyze, deduplicate, and ... AI Automation for the InfoSec Department (~50%) * Design, build, and operate AI-driven workflows ...

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Ai Analyst information

What does an AI Analyst do?

An AI Analyst is responsible for analyzing data, developing insights, and optimizing artificial intelligence models to improve business processes. They work with machine learning algorithms, data visualization tools, and statistical techniques to interpret data trends and provide actionable recommendations. AI Analysts often collaborate with data scientists, engineers, and business teams to ensure AI-driven solutions align with organizational goals. Their role includes assessing model performance, identifying biases, and suggesting improvements to enhance efficiency and accuracy.

Which 5 jobs will survive AI?

AI analysts, healthcare professionals, skilled tradespeople, educators, and creative roles are expected to remain in demand as AI automates routine tasks. These jobs require complex decision-making, emotional intelligence, or hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are key for job security in an evolving AI landscape.

What are the most common challenges AI Analysts face in their day-to-day work?

AI Analysts often encounter challenges such as cleaning and preprocessing large, unstructured datasets, as well as ensuring data quality and integrity before model development. Another frequent challenge is effectively communicating complex technical results to non-technical team members or stakeholders to drive informed business decisions. Balancing multiple projects and staying current with rapidly evolving AI technologies can also be demanding but contributes to ongoing professional growth. Adapting quickly, collaborating closely with data scientists, engineers, and business teams, and maintaining a curiosity for learning are key to overcoming these daily challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive in the Ai Analyst position, and why are they important?

To thrive as an AI Analyst, you need a solid background in data analysis, machine learning, and statistical modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages such as Python or R, machine learning frameworks, and experience using data visualization and analytics platforms are essential, and certifications like Google Cloud AI or Microsoft Azure AI can be advantageous. Strong communication skills, critical thinking, and problem-solving abilities set exceptional candidates apart, as does the ability to explain technical insights to non-technical stakeholders. These skills are central to analyzing complex data, developing actionable AI-driven solutions, and contributing effectively to team objectives in a rapidly evolving field.

How to become an AI analyst?

To become an AI analyst, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong skills in programming, data analysis, and machine learning. Gaining experience with tools like Python, R, and SQL, and obtaining certifications in AI or data analysis can enhance your qualifications. Developing a solid understanding of algorithms and data structures is also important for this role.

What does an AI analyst do?

An AI analyst evaluates and interprets data related to artificial intelligence systems to improve their performance and effectiveness. They often work with machine learning models, analyze large datasets, and use tools like Python or R to develop insights, supporting decision-making and automation processes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and utilizing tools like Python, TensorFlow, or cloud platforms, with compensation reflecting the seniority and impact of the role.
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Infographic showing various Ai Analyst job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
BI Reporting & AI Analyst

BI Reporting & AI Analyst

Avum Inc.

Remote

Full-time

Posted 4 days ago

Job description

Job Summary:
Avum Inc. is a company focused on enhancing internal operations and government mission programs through data insights. The BI Reporting & AI Analyst role involves designing and maintaining business intelligence dashboards and reports, leveraging advanced analytics and AI to improve data quality and accelerate analytics delivery.
Responsibilities:
• Design, build, and maintain interactive BI dashboards and reports using Tableau, QuickSight, Qlik, Appian or similar tools
• Develop and manage paginated and ad hoc reports for program teams, leadership, and government customers
• Build and optimize data models, calculated measures and data transformations to support accurate, scalable reporting
• Develop and maintain ETL processes for data extraction, cleansing, transformation, and loading from multiple sources
• Respond to ad hoc data calls and reporting requests from program teams and government customers with quick turnaround
• Perform data quality assurance, validation, and reconciliation to ensure reporting accuracy and data integrity
• Leverage AI-powered analytics features (e.g., AI-driven insights, natural language queries) to enhance dashboard capabilities and user experience
• Apply advanced analytic techniques to solve business problems and address needs
• Identify opportunities to automate recurring reports and data workflows using AI tools, scripting, or low-code platforms
• Collaborate with stakeholders to gather requirements, define KPIs, and translate business needs into effective data visualizations
• Present visualizations and findings to stakeholders and program teams
• Support data migration efforts, system integrations, and BI tool evaluation initiatives
• Create and maintain documentation for reports, data sources, data dictionaries, and standard operating procedures
• Monitor dashboard performance, troubleshoot data issues, and implement continuous improvements to reporting solutions
Qualifications:
Required:
• Bachelor's degree in data analytics, information systems, computer science, statistics, or related
• 3+ years of experience in BI development, data analytics, or reporting
• Strong proficiency in Tableau, Amazon QuickSight, or similar BI platforms, including data modeling and calculated field development
• Experience with cloud-based BI platforms and data services (Databricks, Palantir Foundry, AWS QuickSight, Azure Synapse, Google Looker)
• Solid SQL skills with experience writing complex queries against relational databases (e.g., Redshift, Oracle, PostgreSQL, SQL Server)
• Experience designing star/snowflake schemas and building scalable data models
• Experience handling semi-unstructured and unstructured data
• Demonstrated ability to translate business requirements into clear, impactful data visualizations
• Experience with machine learning, predictive analytics, and other advanced analytics capabilities
• U.S. citizenship required
• Ability to obtain and maintain a Secret security clearance
Preferred:
• Master's degree in data science, analytics, information systems, or related field
• Active Secret or Top Secret security clearance
• Experience with AI-enhanced analytics tools (e.g., Qlik Insight Advisor, Tableau AI, natural language query features)
• Python or R scripting skills for data manipulation, automation, or advanced analytics
• Familiarity with cutting edge standards for enterprise data architecture (e.g., Palantir Foundry Ontology, Appian data fabric)
• Tableau Desktop Specialist, Microsoft PL-300, or similar BI certification
• Experience with ETL tools or frameworks (SSIS, Informatica, AWS Glue, or custom pipelines)
• Familiarity with Appian, SharePoint, or other enterprise platforms
• Familiarity with DoD contract writing system data structures (Procurement Data Standard (PDS))
• Experience supporting federal government or DoD customers
• Knowledge of federal compliance frameworks (CMMC, NIST 800-171)
• Google Associate Cloud Engineer or similar cloud certification
Company:
Since 1991, Avum has been making a difference by delivering innovative engineering and software development solutions that our clients can rely on. Founded in 1992, the company is headquartered in Agoura Hills, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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