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Verizon

Business Intelligence Analyst

Verizon

Corporate FP&A Analyst leveraging AI and automation for enhanced financial reporting and analysis at Verizon. Involving planning, reporting, and data-driven decision-making across the organization.

Posted 7/7/2026full-timeHyderabad • 🇮🇳 IndiaJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in financial report automation and data analytics, leveraging AI tools and data visualization techniques to enhance decision-making and streamline workflows. Proficient in collaborating with finance and technology teams to implement innovative solutions that drive efficiency and accuracy in financial reporting.

Highest-signal resume keywords
Financial Report AutomationData Visualization ToolsAI Tools and WorkflowsETL ProcessesQlik Sense

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData MiningData TransformationPrompt EngineeringAI-Driven Scenario ModelingVariance AnalysisAutomated ReportingData PreparationFinancial AnalysisData Storytelling
Soft Skills
CollaborationMentorshipAdaptabilityAnalytical GuidanceCommunication
Tools & Technologies
Knime Analytics PlatformAlteryxQlik SenseLookerGoogle SuiteJiraLLM APIs
Industry Keywords
FP&ABusiness IntelligenceFinancial PlanningData ScienceAutomation

Tech Stack

Tools & technologies
ETLSQL

About the role

Key responsibilities & impact
  • Build and Maintain Intelligent Workflows: Identify bottlenecks in traditional FP&A processes (like month-end close or manual data consolidation) and support the implementation of automations and AI solutions.
  • AI-Enhanced Data Storytelling: Transform complex, multi-layered datasets into clear, actionable intelligence using data visualization tools and AI-generated insights.
  • Connect Finance and Technology: Help bridge the gap between traditional FP&A and data science teams, assisting in data preparation so AI algorithms are trained with deep financial context.
  • Prompt Engineering for Finance: Utilize generative AI tools to rapidly synthesize financial data, draft preliminary variance narratives, and accelerate the reporting cycle.
  • Ensure timely and accurate delivery of financial planning, reporting & analyses for the business.
  • Support Decision-Making: Provide reliable data support and analytical guidance to FP&A Business Partners.
  • Data-Driven Value Creation: Move beyond retrospective reporting to assist in forward-looking planning, utilizing AI-driven scenario models to support executive decision-making.
  • Actively participate in the cultural and professional development of Corporate FP&A as a world-class organization through Mentor/Mentee relationships and various activities offered.
  • Embrace Change: Adopt and champion AI and modern finance practices within your daily workflows, helping the broader Verizon team see the proven results of automation.
  • Reporting, Automation & Data Visualization: Develop end-to-end automated solutions for our stakeholders to support Finance Business Units (BUs) and drive efficiencies.
  • Build and design data visualizations of financial statements for different organizations across Verizon.
  • Assist in preparation of C-Suite Executive reporting with 100% quality and accuracy.
  • Collaborate with stakeholders to maintain Qlik/ Looker Applications in production environments and resolve any production issues with existing applications.
  • Document processes to ensure accuracy across the enterprise and maintain strict change control.
  • AI & Analytics Systems Development: Develop and test AI solutions that interact with development tools, codebases, and team workflows.
  • Work with LLM APIs (Claude, Gemini, Codex, and others) to understand their capabilities, limitations, and practical application for financial automation.
  • Support the end-user experience of agentic interactions—ensuring complex AI capabilities feel natural and trustworthy for finance teams.
  • Contribute to technical discussions regarding agent patterns, model selection, and integration approaches.

Requirements

What you’ll need
  • Bachelor’s degree and one or more years of work experience in financial report automations, business intelligence, or data analytics.
  • Hands-on experience or strong academic exposure to building/utilizing AI tools, prompts, or workflows.
  • Understanding of LLM capabilities and limitations across multiple models (Claude, Gemini, Codex, etc.).
  • Familiarity with prompt engineering and working with tool-use/function calling.
  • Ability to mine, extract, transform, and load large financial datasets to create automated reports.
  • Working knowledge of report automation tools, technologies, and end-to-end ETL processes (e.g., Knime Analytics Platform, Alteryx).
  • Experience with Qlik Sense, Looker, or similar visualization tools.
  • Basic knowledge of SQL and database queries.
  • Knowledge of Google Suite and ticketing tools (e.g., Jira).

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities