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Proficient in programming languages such as Python, R, SQL, and SAS. Experience with data visualization tools such as Tableau, MixPanel, Google Looker. Proficient in programming languages such as Python, R, SQL, and SAS.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Expert skills in SQL, Excel, and Tableau data visualization tools. Develop comprehensive business dashboards in Tableau to monitor marketing-related metrics and trends. Whole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving support.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands on design and development experience in multiple Data Warehousing, Data Lake and analytics Platforms: Microsoft data and analytics platform (Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks, etc.
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Trusted by leading global companies like Slack, Tableau, Liberty Mutual, Cisco, Verizon, and U-Haul, Skilljar provides the essential tools and foundation for successful customer and partner engagement and enablement.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expert in SQL and proficiency in at least one programming language (Kotlin, Python, Go, Java, TypeScript) Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Extensive experience with data analysis / visualization tools (i.e., Looker, LookML, Tableau, Power BI, Presto SQL) to develop front-end reports to meet the needs of end-users in a user-friendly way.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with large-scale, end-to-end data platforms and analysis solutions with exposure to platforms and tools such as [Databricks, Spark, Kafka, Cassandra, MongoDB, Redis, MySQL, DBT, Tableau, and Mode] preferred.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Architectural understanding of reporting tools (e.g., Tableau, SSRS, Crystal Reports and Power BI) Architectural understanding of reporting tools (e.g., Tableau, SSRS, Crystal Reports and PowerBI.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong technology proficiency in one or more of the following areas is highly desired: Aladdin technology suite, data model & data feed interaction, API’s, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Prior SQL or Looker experience is a plu. As a Senior Financial Analyst, you will own and be responsible for category P&L management, financial planning, strategic finance, systems, decision support, and analysis for category-level revenue, marketing, and unit economics.
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Proficiency in SQL, Aqueduct, Airflow DAGs with a strong ability to write complex queries, optimize query performance, and work with large datasets. Stay current with the latest trends and advancements in marketing technologies, data engineering, and SQL to continuously improve data processes and capabilities.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with various data and ML infrastructure technologies (SageMaker, AzureML, SQL/NoSQL) and data streaming/processing (Spark, Kafka, Flink, Airflow, AWS Kinesis) is preferred. Technologies we use: Python, SageMaker, AWS cloud stack (e.g. RDS, S3, DynamoDB, lambdas, Kinesis, ECR), Datadog, Terraform, Snowflake, MySQL, and Postgres, among many others.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Excellent knowledge of both front-end and back-end programming languages (JavaScript, HTML, Java, Python, Angular JS, Node JS, REST APIs, Spring Boot, REACT) Knowledge of database systems and SQL Strong knowledge of Cloud technology and able to help with migration to cloud.
ExpandApply NowActive JobUpdated 5 days ago
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