Senior Data Analyst

Infosys

Infosys

IT, Data Science
Richardson, TX, USA · United States
Posted on May 3, 2025

Job details

Work Location

Richardson, TX


State / Region / Province

Texas


Country

USA


Domain

Delivery


Interest Group

Infosys Limited


Skills

Technology|Analytics - Functional|Business Analyst, Technology|Business Intelligence - Visualization|MSBI (Power BI), Technology|Cloud Platform|Cloud Platform - ALL, Technology|Cloud Platform|Google Big Data


Company

ITL USA


Requisition ID

132763BR


Job description

Infosys is seeking a Senior Data Analyst. We are looking proactive and customer focused individual who has a great affinity with various telecom innovations. Anchoring Client relationships and mining accounts with domain-deep solutions would be a key aspect of this role. The candidate will also play a significant role in refining our proactive and services for the Telecom Sector. The candidates should have prior relevant work experience, excel in ambiguous situations, and possess a passion for helping companies become more competitive. We value intellectual curiosity, initiative, and entrepreneurial drive! Knows basic principles of industry lexicon, competitor landscape, sub-verticals and related best practices in order to provide suggestions for specific functional processes.

Required Qualifications:

  • Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • All applicants authorized to work in the United States are encouraged to apply.
  • At least 4 years of Information Technology experience.
  • At least 2 years of Hands-on experience with data analysis on cloud platforms like GCP Big Query, including data ingestion, transformation, and orchestration.
  • Solid background in data analysis, with experience in developing and maintaining data warehouse solutions to generate data-driven insights and visualizations.
  • Experience with ETL/ELT tools, data pipeline development, and workflow management using Composer / Airflow.
  • Expertise in batch and real-time data processing, along with experience in cloud data warehouses.
Preferred Qualifications:
  • Knowledge of data quality, governance, and security practices in data engineering
  • Experience with Agile methodologies and tools such as JIRA, CI/CD, etc.
  • Proficiency in SQL, Python, or other programming languages for data processing and automation
  • Strong problem-solving skills and the ability to optimize data processes for performance and scalability
  • Effective communication and teamwork skills to collaborate with data architects and developers
  • Knowledge of AI/ML, GenAI and Agentic workflows would be good to have
  • Relevant certifications (e.g., GCP, BigQuery, Cloud, and Big Data) are desirable
The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.