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Familiarity with tools such as Power Automate, Alteryx, SQL Server Reporting Services, SQL Server Analysis Services, and cloud-based data platforms (AWS, Azure, Snowflake, GCP). Experience with SQL Server Reporting Services and SQL Server Analysis Services.
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Proficient in Web Analytics (GA), Tag Manager (GTM), Snowflake, Tableau, SQL, and advanced analytic tools (SAS, R, Python). Proficient in Web Analytics (GA), Tag Manager (GTM), Snowflake, Tableau, SQL, and advanced analytic tools (SAS, R, Python.
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You have excellent Microsoft Excel / Google Sheets skills and a basic understanding of (or a willingness to learn) SQL and / or Looker. You are highly proficient in SQL and / or Looker. The Embroker Pack lives by three core values that have taken us from an idea to a growing, well-funded player in the Insurtech space.
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Strong understanding of features and capabilities of the Microsoft Cloud Platform (Security, Firewalls, RedisCache, Key Vault, Service Bus, ASR, Networking, OMS, Blob Storage, Resource Groups, NSG, Application Insights, SQL Server, Sql DB, Load-Balancers.
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Experience administrating windows server and MS SQL based systems Experience in writing SQL queries and reports Experience with Iconics visualization SCADA systems Working knowledge of various PLC platforms including AB/Rockwell, Siemens, and Step 7 Mature, open, positive, and direct working style.
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You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
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Candidate is expected to be familiar with database architecture, logical and physical design, automation, documentation, installs, shell scripting, PL/SQL programming, backup & recovery concepts, and database performance and tuning.
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs.
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AXIS experience including model development/maintenance, SQL/database ETL, VBA scripting, knowledge of DataLink and high level objects such as Fund, Embedded Block, or ALM. AXIS experience including model development/maintenance, SQL/database ETL, VBA scripting, knowledge of DataLink and high level objects such as Fund, Embedded Block, or ALM.
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Data management and/or data visualization experience such as R, Python, SQL, DataBricks, Tableau, and/or PowerBIThis role can be staffed remotely and G5 is the internal pay band. Data management and/or data visualization experience such as R, Python, SQL, DataBricks, Tableau, and/or PowerBIThis role can be staffed remotely and G5 is the internal pay band.
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Master’s degree in Statistics, Economics, Data Science, Computer Information Systems or a related field and 3 years of experience building models in the financial services industry using the following: NLP and Machine Learning techniques and concepts; AWS cloud services including SageMaker, S3, CLI, Athena, Glue, and Lambda; R, Python and SQL programming languages; and Snowflake and SQL databases.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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Expert level SQL knowledge on databases such as but not limited to Snowflake, Netezza, Oracle, Sql Server, MySQL, Teradata. Build and automate the data ingestion, transformation and aggregation pipelines using Azure Data Factory, Databricks / Spark, Snowflake, Kafka as well as Enterprise Scheduler tools such as CA Workload automation or Control M.
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Demonstrated knowledge in the creation and modification of various Access Controls (ACL's), Business Rules, Scripting, Ajax Query, Glide Scripting, Jelly Scripts, Java Scripting, UI Policies; Service Portals (Widgets, Server Scripting, Client Scripting, JavaScript, HTML, CSS, SQL, Portal Configuration); ServiceNow version Upgrade experience; Vancouver, Tokyo, San Diego, Rome, Quebec, Paris, and Orlando.
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