AI-Enabled Analytics & Reporting Architect

Arrow Electronics

Denver (CO)

Hybrid

USD 103,000 - 115,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision Insurance

401k with Matching Contributions

Paid Time Off

Growth Opportunities

On-site Gym

Job summary

Arrow Electronics is seeking a Senior Analytics Leader to partner with business stakeholders to define reporting, analytics, and BI requirements. You will design dashboards and data models using Power BI, Oracle, and Qlik, translating business needs into scalable solutions.

You will govern data quality, deliver AI-enabled insights, mentor the analytics team, and drive automation across the organization. This hybrid role offers competitive compensation and benefits and is based in Denver.

Qualifications

Typically requires a minimum of 6 years of experience in Business Intelligence, Data Analytics, Reporting, Data Management, or a related field with a 4-year degree; or 3 years and a master’s degree; or equivalent related experience
Strong leadership skills with the ability to influence stakeholders, drive change, and lead analytics initiatives across the organization.
Advanced experience with BI and analytics platforms including Power BI, Oracle, SQL, cloud-based data environments, and data modeling.
Experience leveraging AI, Generative AI, Machine Learning, Copilot technologies, or predictive analytics to improve business insights and operational efficiency.
Strong communication and presentation skills.

Responsibilities

Partner with business leaders to define reporting, analytics, AI, and business intelligence requirements.
Design and deliver dashboards, KPI scorecards, data models, AI-enabled insights, and visualizations using Power BI, Oracle, Qlik, and related analytics platforms.
Translate business requirements into scalable reporting and analytics solutions by integrating data across multiple systems and sources.
Analyze, validate, and govern data to ensure accuracy, identify quality issues, and drive continuous improvement.
Provide business insights, trend analysis, forecasting, and ad hoc analytics to support operational and strategic decision-making.
Partner with IT and cross-functional teams to acquire, manage, and optimize enterprise data assets.
Lead reporting priorities, project backlogs, stakeholder communications, and solution delivery.
Drive automation, self-service analytics, AI adoption, and reporting innovation to improve business performance and decision-making.
Establish reporting standards, KPI definitions, governance processes, and analytics best practices.
Mentor and provide technical leadership to analytics and reporting team members.