Verizon is hiring for an entry level Data Analyst role in India

Position:

• Data Analyst - Business Intel

Company:

• Verizon

Location:

• Hyderabad, India / Chennai, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• r-1096902

Years of experience:

• 1 or more years of relevant work experience (internship experience is also counted)

Company description

• Verizon is a globally recognized technology and communications giant dedicated to reshaping how individuals, businesses, and communities connect, communicate, and collaborate worldwide.

• Operating at the forefront of the digital revolution, the enterprise focuses deeply on fostering innovation, creative problem-solving, and sustainable real-world impact across various industrial and consumer sectors.

• The company prides itself on its inclusive "V Team" culture, which serves as a collaborative community built on open communication, mutual respect, active listening, and continuous personal learning.

• With a strong footprint in modern infrastructure, fiber optics, network technologies, and next-generation connectivity, Verizon consistently pushes the boundaries of technological advancement.

• In times of global celebration as well as crisis, the company remains dedicated to supporting local communities and establishing foundational trust through a reliable public presence.

• As part of its forward-looking strategy, Verizon is heavily investing in integrating artificial intelligence across all structural business units, including corporate finance and strategic analytics operations.

• Employees are encouraged to share daring, diverse, and non-traditional ideas freely in an environment designed to help modern professionals grow, learn, and thrive over the long term.

• The organization focuses deeply on systemic modernization, ensuring all team members are equipped with advanced automated systems to streamline international data pipelines.

Profile overview

• The corporate business intelligence unit is seeking a highly adaptable, collaborative, and future-focused professional to step into the role of an Analyst within its intelligent finance division.

• This individual will move beyond traditional retrospective bookkeeping and data compilation to uncover, articulate, and present the foundational financial stories driving macro business decisions.

• The position acts as a pivotal strategic bridge connecting core financial planning functions with technical data science teams, ensuring automated algorithmic systems are trained with deep commercial context.

• Operating in an evolving ecosystem, the analyst will heavily leverage generative artificial intelligence, machine learning structures, and high-level prompt engineering to synthesize multi-layered datasets rapidly.

• The role requires actively supporting internal executive stakeholders by delivering accurate, highly visual financial dashboards that enable fast, forward-looking scenario modeling and strategic planning.

• Daily workflows involve identifying and resolving systemic operational bottlenecks across the enterprise, transforming raw data matrices into sleek, actionable intelligence reports for senior management.

• The successful candidate will advocate for organizational change, helping wider corporate teams transition toward zero-touch automated solutions and automated month-end closing procedures.

• This function provides a rich environment for continuous skill advancement, professional growth, and personal development through structured internal mentorship frameworks and cross-departmental projects.

Qualifications

• Candidates must possess a completed Bachelor’s degree from an accredited institution alongside a minimum of one year of professional hands-on corporate work experience.

• Prior technical experience must encompass financial report automation systems, dedicated business intelligence operations, or enterprise-scale data analytics workflows.

• Strong academic exposure or direct professional experience in building, deploying, and utilizing foundational artificial intelligence tools and automated execution models is essential.

• Comprehensive understanding of large language model capabilities, structural boundaries, and functional limitations across multiple contemporary platforms is required.

• Practical familiarity with standard prompt engineering techniques, tool-use paradigms, and function-calling protocols inside developer environments is necessary.

• Proven technical proficiency in mining, extracting, transforming, and loading extensive, multi-layered financial data matrices from highly diverse production systems.

• Demonstrated working knowledge of modern report automation applications alongside end-to-end extraction, transformation, and loading tools such as Knime Analytics or Alteryx platforms.

• Specialized experience in designing, maintaining, and deploying clean business visualization layouts using professional analytical applications like Qlik Sense or Looker.

• Strong foundational grasp of relational database architectures, structured query language programming, data schema extraction, and custom text-based database query formulation.

• Functional everyday familiarity with cloud-based productivity application suites, documentation management tools, and professional project tracking systems like the Jira platform.

Additional info

• This role features a balanced hybrid working model where the professional splits operational hours between a dedicated home office and assigned physical corporate workspaces.

• The exact balance of remote workdays and mandatory physical office attendance is determined and structured directly by the reporting departmental manager.

• The standard workload for this professional position is structured around forty scheduled weekly hours, requiring diligent time management and task prioritization skills.

• Verizon operates as an equal opportunity employer, actively evaluating all qualified job applicants without structural bias toward race, gender, physical disability, or protected traits.

• Ideal candidates bring a background in Python programming script creation or custom automated workflows using Google App Script architectures to optimize repetitive tasks.

• Prior professional exposure to multi-dimensional data management applications like Essbase, combined with database query performance tuning, provides an advantage.

• Understanding verification frameworks for complex agentic systems, alongside layout extensions like Vizlib or automated document distribution via NPrinting, is highly valued.

• Team members are expected to interact comfortably with global financial branches, managing urgent production tickets and software version controls with absolute precision.

• The corporate division places a premium on strict change control documentation to preserve systematic operational accuracy and pipeline security across the entire global enterprise.

• The position provides continuous exposure to emerging cloud technology ecosystems, including Google Cloud Platform Big Query systems and massive Teradata warehouse environments.

Please click here to apply.