📋 Job Details at a Glance 📍 Location Chennai, Hyderabad, India 🏢 Company Verizon 👥 Experience 1-3 years 🎓 Qualification Hands-on with SQL. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills SQL AI Use Cases Analysis Business Domain Knowledge Data Solutioning Model Validation Analytics Communication Analyst-Data Rptg & Analysis at Verizon — Full Details & How to Apply Verizon is seeking an Analyst-Data Rptg & Analysis in Chennai, Hyderabad, India , where you’ll validate AI/ML solutions in a business context and collaborate with Product Owners to prioritize AI use cases. This role offers hands-on experience with SQL and AI use cases analysis , directly supporting data-driven decision-making in real product environments. This Analyst-Data Rptg & Analysis role is critical for ensuring that AI/ML solutions are validated within business domains and that data insights are effectively communicated to stakeholders. The position requires evaluating data solutions, performing model validation , and translating technical outputs into actionable business insights. These responsibilities are grounded in practical data workflows and business domain knowledge , forming the foundation of operational efficiency in technology-driven operations. The job posting specifies that this role is part of Verizon ’s technology operations, where candidates will work on AI use cases analysis and data solutioning . The Verizon recruitment process emphasizes technical rigor, with a focus on candidates who have hands-on experience with SQL and a relevant technical or engineering background. The role is based in Chennai or Hyderabad, India, and operates under a hybrid work mode. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have hands-on with SQL , a relevant technical / engineering background , and 1-3 years of experience . The salary is Not Disclosed . This role is designed for professionals with foundational technical experience in data analytics and AI use cases. You will gain hands-on experience with SQL , AI Use Cases Analysis , Business Domain Knowledge , Data Solutioning , Model Validation , and Analytics Communication . These skills build a strong foundation for advancing into data engineering, AI product roles, or analytics leadership positions within technology firms. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Analyst-Data Rptg & Analysis jobs in Chennai, Hyderabad, India jobs are available through Verizon recruitment . Apply online to access the full role description and eligibility criteria. Job Role & Responsibilities The Analyst-Data Rptg & Analysis at Verizon is tasked with evaluating AI use cases in telecommunications operations, using SQL to extract performance metrics from operational databases, and validating model validation outcomes against business KPIs to ensure data-driven decisions align with real-time network performance goals. Collaborate with Product Owners to identify and prioritize AI use cases using a structured impact assessment framework that evaluates cost reduction, service reliability, and customer churn metrics. Utilize SQL to query and analyze customer usage data from Verizon ’s core database, generating daily reports on call volume, data consumption, and network utilization trends. Work with business stakeholders to translate business domain knowledge into clear data requirements, ensuring data science teams understand operational constraints and service-level objectives. Validate AI/ML solutions by conducting business impact analysis, comparing predicted outcomes against actual performance data from the last quarter’s network telemetry. Support the maintenance and improvement of data solutions and reporting processes by auditing existing data solutioning pipelines and updating SQL scripts for accuracy and performance. Document findings and insights in structured reports that improve analytics communication and ensure consistent reporting of KPIs across departments such as Network Operations and Customer Service. Troubleshoot data-related issues such as missing records or incorrect aggregations in SQL queries, and implement fixes that reduce operational latency by at least 15% in reporting cycles. Conduct end-to-end validation of AI model outputs against business goals, ensuring that model validation results are aligned with revenue, service uptime, and customer satisfaction metrics. This role requires direct ownership of data analysis workflows and ensures that every data solutioning output directly impacts Verizon’s network performance and customer experience metrics. Required Skills & Technical Competencies The role demands a strong technical foundation in SQL and AI use cases analysis , with proven ability to apply business domain knowledge and validate data solutioning outcomes in real-world operational environments. Technical Skills SQL — essential — used for querying Verizon’s operational databases to extract customer usage, network performance, and service-level metrics for reporting and analysis. AI Use Cases Analysis — intermediate — applied to evaluate potential AI applications in network operations, focusing on impact on customer retention, service uptime, and cost efficiency. Business Domain Knowledge — intermediate — required to interpret telecom-specific KPIs such as call drop rates, data throughput, and network congestion metrics in business context. Data Solutioning — intermediate — used to design and refine data workflows that support AI model development and deployment in network operations. Model Validation — intermediate — applied to assess AI model outputs against historical performance data, ensuring accuracy and alignment with business objectives. Analytics Communication — intermediate — used to produce clear, structured reports that translate complex data findings into actionable insights for non-technical stakeholders. When showcasing these skills, emphasize specific SQL queries you’ve written, AI use cases you’ve evaluated, and model validation results you’ve produced in academic or internship projects. Eligibility Criteria This role is designed for candidates with a technical or engineering background , who have hands-on experience with SQL and have completed projects involving data analysis or AI use case evaluation in a real-world or academic setting. Must hold a degree in Computer Science, Engineering, or a related technical field with a focus on data, analytics, or systems. Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 1 year of hands-on experience with data analysis, SQL , or AI-related projects is required. CGPA or academic performance is not specified, but a strong academic record in technical subjects is expected. Must have a documented portfolio of technical projects, including at least one that involves SQL and AI use cases analysis . Experience with data pipelines or model validation in academic or internship settings is a key requirement. Documentation & Portfolio Requirements Your resume must include a detailed project section with SQL queries, AI use case evaluation summaries, and model validation results, clearly showing your technical execution and analytical reasoning. For this role, prioritize including a project where you used SQL to analyze real-world data and evaluated an AI use case with measurable business impact — such as predicting churn or optimizing network performance — to demonstrate both technical and domain capability. Salary for Analyst-Data Rptg & Analysis at Verizon 💰 Compensation Not Disclosed The advertised compensation for the Analyst-Data Rptg & Analysis role at Verizon is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Analyst-Data Rptg & Analysis Upskilling with the right resources significantly enhances your chances of being selected for this role by demonstrating relevant expertise and knowledge. Recommended Courses & Resources SQL — Mastering SQL is crucial for data manipulation and reporting tasks in this role. AI Use Cases Analysis — Understanding AI applications will enhance your analytical capabilities and relevance in the tech industry. KodNest — This course provides practical insights into data solutioning and model validation techniques. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating SQL proficiency — Provide specific examples of SQL projects. ❌ Using a generic resume — Tailor it to highlight relevant experience with AI and data analytics. ❌ Listing SQL or AI skills without details — Detail their application in projects or previous roles. ❌ Ignoring the specified experience requirement — Ensure you meet the 1-3 years experience criteria. ❌ Adding unrelated technologies — Avoid unsupported claims to increase ATS keywords. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Analyst-Data Rptg & Analysis Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include SQL AI Use Cases Analysis Business Domain Knowledge Data Solutioning Model Validation Analytics Communication Collaboration Data Reporting Technical Planning Problem-Solving Troubleshooting Documentation Resume Tips for This Role Highlight SQL proficiency prominently on the resume, as it is a key requirement for the role. Emphasize experience with AI use cases and data analysis to align with the job responsibilities. Include projects or experiences that demonstrate skills in data solutioning and model validation . Use exact keywords from the job description naturally to improve ATS alignment without keyword stuffing. Avoid adding unsupported technologies or achievements that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated work experience or unsupported claims in your resume for this role. How to Apply for Analyst-Data Rptg & Analysis at Verizon Apply Now — Verizon Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Verizon NexisGrow.com does not charge any fees for job applications. Verizon Verizon is a technology company operating in Chennai and Hyderabad, India. The Analyst-Data Rptg & Analysis role is based in these locations with a hybrid work mode. This position supports data reporting and analysis within the technology industry. The team collaborates with Product Owners to identify AI use cases, evaluates business domain knowledge , and helps prioritize high-impact solutions. They validate AI/ML models in business contexts and communicate insights to drive adoption and value. This role supports Verizon ’s focus on data-driven innovation by bridging business goals with data science teams through analytics communication and solutioning. This role offers early-career exposure to SQL , AI use cases, and analytics communication —key skills for professional growth in data reporting and analysis. Company Details Industry Technology Location Chennai, Hyderabad, India Connect With Us Careers Apply Now Website 🔗 verizon.wd12.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background from the eligible batches of 2023, 2024, 2025, and 2026 with 1-3 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer SQL, AI Use Cases Analysis, Business Domain Knowledge, Data Solutioning, and Model Validation. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review SQL skills, understand AI use cases, prepare to discuss data solutioning, practice analytics communication, and be ready to explain business domain knowledge. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, with locations in Chennai and Hyderabad. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to SQL, AI use cases, and collaboration with data science teams, enhancing analytical and technical skills. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight SQL proficiency, experience with AI use cases, and relevant technical background. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with Product Owners and data science teams in a hybrid work setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at Verizon Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com