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Data Analyst / Data Engineer / Bi Developer
Company | Nuvento Inc |
Address | Austin, TX, United States |
Employment type | FULL_TIME |
Salary | |
Expires | 2023-10-06 |
Posted at | 8 months ago |
Role : Data Analyst / Data Engineer / BI Developer
Location : Austin, TX / Mountain View, CA
Fulltime with Nuvento
Primary Responsibilities: Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse. Maintain data reports and dashboards. Analyze data and perform statistical analysis.
- Develop and support reports and dashboards using Google Plx/Tableau/Looker/Data Studio.
- Monitor performance and implement the necessary infrastructure optimization.
- Analyze data and perform statistical analysis.
- Design, build, launch, optimize and extend full-stack Data and business intelligence solutions spanning extraction, storage, transformation and visualization layers.
- Develop ETL/data pipelines to populate the data warehouse from a variety of custom and 3rd-party systems.
- Demonstrate excellent collaboration, interpersonal communication and written skills with the ability to work in a team environment.
- Implement and maintain data analysis scripts using SQL and Python.
- Improve and develop new and existing dashboards supporting business growth.
- Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.
- Hands-on experience using statistical methods for data analysis.
- Familiarity with Agile Software Development practices and working in an agile environment.
- Familiarity with machine learning and advanced analytics methods.
- Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc.).
- Ability to analyze and troubleshoot complex issues, and proficiency in multitasking.
- Strong design and development skills with meticulous attention to detail.
- Experience with data platform and visualization technologies such asGoogle plx dashboards, Data Studio, GoogleSQL, and BigQuery.
- BS degree in Computer Science, Math, Statistics or equivalent academic credentials.
- 4+ years of solid hands-on experience with SQL scripting, dashboard development, and data analysis.
- Strong analytical, troubleshooting and organizational skills.
- Hands-on experience with design, development and support of data analysis.
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