
Data Analytics etl/tableau
1 week ago
**Senior Data Analytics Engineer**
**Company***: Feuji.Inc**
**Mode of Hire**: Permanent Position (2-6 years)**
**Company Location : Hyderabad**
**About Feuji**
Since its inception in 2014, Feuji, Inc. has come a long way. Within a few years, Feuji grew from a small team to more than 400 dedicated employees. Today, with its global network and industry-leading expertise in technology solutions and emerging digital business processes, Feuji provides a unique value proposition for its customers.
In the last few years, Feuji has actively supported multiple projects in India, Costa Rica, and the USA in the areas of healthcare, education, skill development, and ecological preservation. What’s next for Feuji? We are looking forward to continuing our work in the areas of digital transformation and sustainable community development by consistently delivering lasting positive impact.
**About the Role**
A data analyst is responsible for organizing data related to sales numbers, market research, logistics, linguistics, or other behaviours. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
**Roles & Responsibilities**
- Using automated tools to extract data from primary and secondary sources
- Removing corrupted data and fixing coding errors and related problems
- Developing and maintaining databases, data systems - reorganizing data in a readable format
- Performing analysis to assess quality and meaning of data
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
- Working with programmers, engineers, and management heads to identify process improvement opportunities.
- Preparing final analysis reports.
**Basic Qualifications**
- Understanding of Analytics, Data sciences, BI, Big data technologies.
- Exposure to legacy BI/DW business as well as the latest technologie
- Consulting and thought leadership skills - able to engage customers from business perspective
- Ability to create and win large opportunities - leading from the front - familiarity with commercial models and deal structuring
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