Fiserv is actively seeking fresh minds for the role of Technology Analyst β a perfect starting point for aspiring tech professionals. This role opens doors to real-world application development, innovation, and digital transformation. Ready to turn your potential into impact? Step in and shape the future with Fiserv.
Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Fiserv is Hiring: Launch Your Career as a Technology Analyst | PAN India – Overview
| Company Name: | Fiserv |
| Job Role: | Technology Analyst |
| Location: | PAN India |
| Work Mode: | On site |
| Last Date to Apply: | ASAP |
Skills:
- Bachelorβs Degree or equivalent experience.
- Must have analytical, problem solving, and team building skills.
- Ability to work independently, prioritize tasks and solve problems
- Proficient in MS PowerBI, SQL and Python.
- Excellent communication (verbal and written), interpersonal, organizational, collaboration, and trouble shooting skills
- What would be great to have:
- Exposure to Foundry or Snowflake a plus.
- Experience in VBA is a plus.
Responsibility:
- Ability to manage time and priorities with multiple tasks and projects, to work with loosely defined requirements.
- Analyze, query and manipulate financial and business level data.
- Validate data sets are in synch with sources. Perform reconciliations of defined data. Identify, compare, and resolve data quality problems. Evaluate large dataset for quality and accuracy.
- Determine business impact level for data quality issues. Work with Programmers to correct data quality errors. Determine root cause for data quality errors and make recommendations for solutions.
- Research and determine scope and complexity of issue to identify steps to fix issue.
- Develop process improvements to enhance overall data quality and execute data cleanup measures. Maintain a record of original data and corrected data.
- Ensure adherence to data quality standards. Identify areas of improvement to achieve data quality.
- Resolve all internal data exceptions in timely and accurate manner.
