What are the responsibilities and job description for the Data Analyst / Data Engineer / BI Developer position at Vings Technologies?
Job Details
Role: Data Analyst / Data Engineer / BI Developer
Location: San Jose, CA Day 1 onsite
Experience: 8 years.
Job Description:
Skills: Advanced SQL is a must, additionally preferred to have Python/Java. Candidates will need to take a 45-minute SQL, Python, and analytics knowledge technical assessment.
Primary Responsibilities: Develop and support data pipelines to extract, transform, and load data in the Data Center data warehouse. Maintain data reports and dashboards. Analyze data and perform statistical analysis.
Job Description
-Develop ETL/data pipelines to populate the data warehouse from a variety of custom and 3rd-party systems.
-Design, build, launch, optimize and extend full-stack Data and business intelligence solutions spanning extraction, storage, transformation and visualization layers.
-Implement and maintain data analysis scripts using SQL and Python.
-Develop and support reports and dashboards using Plx/Tableau/Looker/Data Studio.
-Improve and develop new and existing dashboards supporting business growth.
-Analyze data and perform statistical analysis.
-Monitor performance and implement the necessary infrastructure optimization.
-Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.
-Demonstrate excellent collaboration, interpersonal communication, and writing skills with the ability to work in a team environment.
Minimum Qualifications
-4 years of solid hands-on experience with SQL scripting, dashboard development, and data analysis.
-Hands-on experience with design, development, and support of data analysis.
-Hands-on experience using statistical methods for data analysis.
-Familiarity with machine learning and advanced analytics methods.
-Understanding of (Google Cloud Platform) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc.).
-Experience with data platform and visualization technologies such as PLX dashboards, Data Studio, SQL, and BigQuery.
-Strong design and development skills with meticulous attention to detail.
-Familiarity with Agile Software Development practices and working in an agile environment.
-Strong analytical, troubleshooting, and organizational skills.
-Ability to analyze and troubleshoot complex issues, and proficiency in multitasking.
-BS degree in Computer Science, Math, Statistic,s or equivalent academic credentials.
Location: San Jose, CA Day 1 onsite
Experience: 8 years.
Job Description:
Skills: Advanced SQL is a must, additionally preferred to have Python/Java. Candidates will need to take a 45-minute SQL, Python, and analytics knowledge technical assessment.
Primary Responsibilities: Develop and support data pipelines to extract, transform, and load data in the Data Center data warehouse. Maintain data reports and dashboards. Analyze data and perform statistical analysis.
Job Description
-Develop ETL/data pipelines to populate the data warehouse from a variety of custom and 3rd-party systems.
-Design, build, launch, optimize and extend full-stack Data and business intelligence solutions spanning extraction, storage, transformation and visualization layers.
-Implement and maintain data analysis scripts using SQL and Python.
-Develop and support reports and dashboards using Plx/Tableau/Looker/Data Studio.
-Improve and develop new and existing dashboards supporting business growth.
-Analyze data and perform statistical analysis.
-Monitor performance and implement the necessary infrastructure optimization.
-Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.
-Demonstrate excellent collaboration, interpersonal communication, and writing skills with the ability to work in a team environment.
Minimum Qualifications
-4 years of solid hands-on experience with SQL scripting, dashboard development, and data analysis.
-Hands-on experience with design, development, and support of data analysis.
-Hands-on experience using statistical methods for data analysis.
-Familiarity with machine learning and advanced analytics methods.
-Understanding of (Google Cloud Platform) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc.).
-Experience with data platform and visualization technologies such as PLX dashboards, Data Studio, SQL, and BigQuery.
-Strong design and development skills with meticulous attention to detail.
-Familiarity with Agile Software Development practices and working in an agile environment.
-Strong analytical, troubleshooting, and organizational skills.
-Ability to analyze and troubleshoot complex issues, and proficiency in multitasking.
-BS degree in Computer Science, Math, Statistic,s or equivalent academic credentials.
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