Data Analyst / Data Engineer / BI Developer Job at Omni Inclusive, Santa Clara, CA

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  • Omni Inclusive
  • Santa Clara, CA

Job Description

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.


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 Google 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 written 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 (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc.).
  • Experience with data platform and visualization technologies such as Google plx dashboards, Data Studio, GoogleSQL, 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, Statistics or equivalent academic credentials.

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