Verizon Hiring Business Intelligence Analyst 2026 | Apply Now

July 7, 2026 Admin

Verizon Business Intelligence Analyst Hiring 2026 | Apply Now

Verizon is hiring candidates for the Analyst – Business Intelligence role. This opportunity is suitable for candidates with a Bachelor’s degree and one or more years of experience in financial report automation, Business Intelligence, or Data Analytics.

The role combines Business Intelligence, Financial Planning & Analysis, reporting automation, data visualization, ETL, SQL, and Artificial Intelligence. Selected candidates will help develop automated financial reporting solutions, transform complex datasets into actionable insights, and work with modern AI tools and Large Language Models.

Quick Job Snapshot

Company Name	Verizon
Role	Analyst – Business Intelligence
Qualification	Bachelor’s Degree
Experience	freshers
Eligible Batch	2024, 2025 & 2026
Salary	₹5–10 LPA (Estimated)
Job Type	Full-Time
Work Mode	Hybrid
Job ID	r-1096902
Application Deadline	July 31, 2026

About the Business Intelligence Analyst Role

As part of Verizon’s Corporate FP&A organization, the Business Intelligence Analyst will support financial planning, reporting, analysis, automation, and data-driven decision-making. The role focuses on modernizing traditional finance processes through Business Intelligence, automation, data visualization, and AI-powered workflows.

The selected candidate will work with finance and technology teams to develop automated reporting solutions, prepare data for AI applications, create financial visualizations, support executive reporting, and improve month-end close and reporting activities.

Key Responsibilities

Identify bottlenecks in traditional FP&A and financial reporting processes.
Support the implementation of automation and AI-powered solutions.
Transform complex datasets into clear and actionable business intelligence.
Use data visualization tools and AI-generated insights for financial reporting.
Support data preparation for AI algorithms and financial analytics solutions.
Use Generative AI tools to synthesize financial data and prepare variance narratives.
Ensure timely and accurate financial planning, reporting, and analysis.
Provide analytical support to FP&A Business Partners.
Support forward-looking planning using AI-driven scenario models.
Develop end-to-end automated solutions for Finance Business Units.
Build financial statement dashboards and data visualizations.
Assist in preparing C-Suite executive reports with high accuracy.
Maintain Qlik and Looker applications in production environments.
Investigate and resolve production issues in existing BI applications.
Document processes and maintain strict change control.
Develop and test AI solutions for financial automation.
Work with LLM APIs and understand their practical applications.
Support agentic AI interactions for finance teams.
Contribute to discussions around AI agent patterns, model selection, and integration approaches.

Eligibility Criteria

Bachelor’s degree is required.
One or more years of relevant work experience is required.
Experience in financial report automation, Business Intelligence, or Data Analytics is required.
Hands-on experience or strong academic exposure to AI tools, prompts, or AI workflows is required.
Understanding of Large Language Model capabilities and limitations is expected.
Familiarity with prompt engineering and tool-use or function-calling concepts is required.
Candidates should have knowledge of extracting, transforming, and loading large financial datasets.
Working knowledge of report automation tools and end-to-end ETL processes is required.
Experience with Qlik Sense, Looker, or similar visualization tools is required.
Basic SQL and database query knowledge is required.
Knowledge of Google Suite and ticketing tools such as Jira is relevant.

Key Technical Skills

Candidates should have knowledge of Business Intelligence, Data Analytics, SQL, ETL processes, financial reporting automation, data visualization, and AI workflows. Experience with Qlik Sense, Looker, KNIME Analytics Platform, or Alteryx is relevant for this position.

The role also requires familiarity with Generative AI and LLM concepts, including prompt engineering, tool use, function calling, and working with multiple AI models. Exposure to Python, Google App Scripting, Essbase, BigQuery, Teradata, Vizlib, and NPrinting is an additional advantage.

AI and Analytics Exposure

The Business Intelligence Analyst will contribute to AI-driven financial automation initiatives. The role includes working with LLM APIs, understanding the capabilities and limitations of different models, supporting agentic AI interactions, and helping finance teams use AI-powered workflows effectively.

Candidates with projects involving Generative AI, prompt engineering, AI agents, data analytics, report automation, or intelligent workflows should highlight them clearly in their resumes.

Reporting, Automation and Data Visualization

The selected candidate will develop automated solutions for finance stakeholders and create visualizations for financial statements. The role also involves supporting C-Suite executive reporting and maintaining Qlik or Looker applications in production environments.

Candidates should be comfortable working with large datasets, performing ETL activities, building reports, validating outputs, troubleshooting BI applications, and communicating analytical findings to finance and business stakeholders.

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Preferred Skills

Python programming knowledge.
Google App Scripting experience.
Essbase knowledge.
SQL performance tuning skills.
Familiarity with evaluation frameworks for agentic AI systems.
Vizlib and NPrinting experience with Qlik Sense.
Exposure to GCP BigQuery.
Knowledge of Teradata databases.
Ability to derive insights from data and recommend actionable business strategies.

Why Consider This Opportunity?

The Verizon Business Intelligence Analyst role combines finance, analytics, automation, visualization, and Artificial Intelligence. Candidates will have opportunities to work on automated financial reporting, modern BI applications, ETL workflows, Generative AI tools, LLM APIs, and AI-driven finance processes.

This opportunity can be relevant for candidates building careers in Business Intelligence, Data Analytics, FP&A Analytics, Reporting Automation, Financial Analytics, Data Visualization, and AI-enabled business analytics.

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How to Apply for Verizon Business Intelligence Analyst Recruitment 2026

Interested and eligible candidates can apply for the Verizon Analyst – Business Intelligence position through the official Verizon careers portal. Candidates should review the complete job requirements and submit their application before July 31, 2026.

Click the Apply Now button provided below.
Visit the official Verizon careers application page.
Review the job responsibilities, experience requirements, and technical skills.
Create an account or sign in to the careers portal if required.
Enter accurate educational, professional, and contact information.
Highlight relevant experience in Business Intelligence, Data Analytics, financial reporting automation, or ETL processes.
Add SQL, Qlik Sense, Looker, KNIME, Alteryx, or similar technical skills where applicable.
Mention projects or experience involving Generative AI, LLMs, prompt engineering, AI workflows, or automation.
Add Python, Google App Scripting, BigQuery, Teradata, Essbase, or other preferred skills if applicable.
Upload your updated resume, review the application carefully, and submit it before the deadline.

🚀 Apply Now – Verizon

Frequently Asked Questions (FAQs)

1. Who can apply for the Verizon Analyst – Business Intelligence role?

Candidates with a Bachelor’s degree and one or more years of work experience in financial report automation, Business Intelligence, or Data Analytics can apply. Candidates should also have relevant exposure to AI tools, reporting automation, ETL processes, visualization platforms, and SQL.

2. What are the important technical skills required for this role?

Important skills include Business Intelligence, Data Analytics, ETL, SQL, Qlik Sense, Looker, KNIME Analytics Platform, Alteryx, data visualization, report automation, prompt engineering, and AI workflows. Familiarity with Python, Google App Scripting, BigQuery, Teradata, and Essbase is an additional advantage.

3. What is the last date to apply for the Verizon Business Intelligence Analyst position?

Candidates should apply before July 31, 2026. Applicants are advised to submit their applications early after checking the eligibility requirements and preparing an updated resume that highlights relevant Business Intelligence, analytics, automation, SQL, ETL, visualization, and AI experience.

Conclusion

The Verizon Analyst – Business Intelligence opportunity is suitable for candidates with experience in Business Intelligence, Data Analytics, financial report automation, ETL, SQL, data visualization, and modern AI workflows. The role offers exposure to FP&A analytics, automated financial reporting, executive dashboards, Generative AI tools, LLM APIs, and agentic AI concepts.

Eligible candidates should highlight their relevant BI, reporting automation, SQL, ETL, visualization, and AI-related experience in their resumes and apply through the official Verizon careers portal before the application deadline.