Data Analyst Opportunity 2025 | Cognizant is hiring Data Analyst. The working location is BANGALORE / PUNE / CHENNAI, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Analyst Opportunity at Cognizant| BANGALORE / PUNE / CHENNAI – Overview
| Company Name: | Cognizant |
| Job Role: | Data Analyst |
| Location: | BANGALORE / PUNE / CHENNAI |
| Work Mode: | On-site Hybrid |
| Last Date to Apply: | ASAP |
Job Description
- Ability to clearly identify and communicate potential data and analytics problems with business stakeholders and end users
- Translate business problems into analytical solutions leveraging Data management / Business Intelligence / Analytics techniques
- Anticipate, identify, structure, and suggest functional solutions for data and analytical problems
- Identify and provide suggestions in extracting, integrating, and analysing data
- Analyze large datasets using SQL and/or Visualization tools
- Conduct quantitative analysis and interpret results
- Identify and design key performance metrics and indicators
Skills Required:
- Master’s in Management degree preferred. 5 – 15 years of relevant IT experience is desired
- Demonstrated experience in data strategy, data governance, data architecture, MDM, data quality, data lakes, or data modernization is preferred
- Experience with dimensional modeling, knowledge in data management, ETL, or BI/Visualization tools is good to have
- Familiarity with cloud platforms like Azure, AWS is a plus
- Familiarity with programming languages like Python, Scala, or Java is a plus
- Industry knowledge of BI & Analytics landscape and tools supporting descriptive to prescriptive analytics
- Being versed with Agile methodologies and having some prior experience working with them
Responsibility:
- Basic working experience in data analysis and ML modeling.
- Understanding of machine learning and deep learning concepts.
- Ability to assist in formulating business problems as machine learning problems.
- Basic knowledge of model evaluation and interpretability.
- Familiarity with computer vision, natural language processing, and anomaly detection.
- Awareness of GenAI and its applications in the industry.
- Good communication skills:
- Ability to communicate ideas clearly and concisely, both verbally and in writing.
- Ability to collaborate effectively with business and tech teams.
- Problem-solving skills with a focus on optimal solutions.
