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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
$152,000 - $206,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience in data visualization, using tools such as Tableau, Power BI, Looker, etc. Experience with Looker, Tableau or Power-BI. Experience connecting visualizations to data models in GCP (BigQuery.
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This role will primarily focus on Looker and BigQuery, and the ideal candidate will have a strong background in data engineering, SQL, and data modeling. 3-4 years of experience in data engineering and working with Looker and BigQuery.
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Technical Skills: Proficiency in Looker, Google Analytics v4, BigQuery, Snowflake, SQL, and Python. Advanced Data Analysis: Extract and analyze data from BigQuery/Snowflake, handling large and complex data sets, cleansing and manipulating data to create insights that drive strategic actions and decisions.
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Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift) Familiarity with business intelligence visualization tools such as Looker, Tableau, Power BI, etc.
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Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense. Experience with visualization technologies like Looker, Tableau, or Qlik Sense.
$126,000 - $170,500ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in working requirements and design with at least one of the Analytics platforms – BigQuery/Looker, Tableau or PowerBI. Experience in working with BigQuery, Postgres, Jira, confluence, Python, Kubernetes, AppEngine, APIgee, React.
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Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Data Analysis Visualization: Tableau Desktop, Looker Studio. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena.
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Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran. Working experience with BI tools like Tableau and Looker. Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran.
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Familiarity with data warehouse products in a cloud environment such as Google BigQuery, Redshift, Snowflake, etc. Experience building data visualizations, reports, and/or presentations within a tool like Looker, Tableau, PowerBI, matplotlib, etc.
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Well versed in technology stacksincluding: Google BigQuery, DataProc, Looker, Looker Studio, Sheets; AWSRedshift, Athena, Quicksight, Sagemaker, Databricks, Snowflake, and Microsoft SQL Server,Azure, and Synapse.
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Additional knowledge with Looker, BigQuery, Tableau a plus. Additional knowledge with Looker, BigQuery, Tableau a plus. A subject matter expert to cross-functional projects, owner of the reporting user experience for all stakeholders acting as HR Data Steward.
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Advanced experience with Google Cloud Platform including BigQuery Omni, Cloud Functions, Dataplex and Composer. Working knowledge of BigQuery or similar (Redshift, Azure, Snowflake, etc.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, DBT, and Looker along with working experience in onPrem systems such as Teradata, SAP HANA. You will be responsible for designing, building, and maintaining our data infrastructure and analytics solutions.
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