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Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others. Experience with analytics and visualization tools (e.g., Google Data Studio, Domo, Tableau, PowerBI, Datorama.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services.
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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, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery). Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques.
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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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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Data Analysis Visualization: Tableau Desktop, Looker Studio. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Big Data Processing: Hive, HBase, Spark.
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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge of data visualization tools such as Tableau, Power BI, or QlikView for creating interactive and meaningful visualizations. Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink.
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Experience working with data visualization tools such as Tableau, Looker, or PowerBI. Experience with BigQuery, Snowflake, Microsoft SQL Server. Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server.
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3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M). We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency in data management tools such as SQL-based databases (e.g., SQL Server, MySQL, PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Knowledge of distributed computing frameworks such as Apache Spark for large-scale data processing and analytics.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with data harvesting and analytic tools (i.e. SAS Enterprise Guide, Google Cloud Platform BigQuery, SQL, Python, R, ACL, Excel/VBA, etc.) Experience with visualization and business intelligence tools (i.e. Tableau, Qlikview, IBM Cognos, Power BI, etc.
ExpandApply NowActive JobUpdated 9 days ago
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