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Experience with data visualization tools such as Tableau, Power BI, or QlikView is a plus. Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
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Experience with data visualization tools such as Power BI and Tableau. 2+ years with databases such as SQL Server, Oracle, MySQL. Experience with cloud based data services offered by Azure, AWS and Google.
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2+ years data warehouse, dimensional modeling design and architecture. Data migrations and conversions to the cloud and to cloud data warehouse services. Data Engineers analyze and develop on-premises and/or cloud data and ETL solutions to solve the client’s challenges.
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ESSENTIAL SKILLS:Advanced understanding of systems such as:Google Tag ManagerGoogle Analytics (both GA4 and Universal Analytics)Tableau or Power BISnowflake, Redshift, or SQL Server. create and deliver impactful client presentations to senior executives on a regular basis through data visualization presentations, reporting, and dashboards and executive summaries.
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Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python) Experience creating and maintaining business-critical data warehouse tables using SQL.
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Strong analytical skills with proficiency in statistical analysis, data modeling, and visualization tools (e.g., Python, SQL, Tableau). Bachelor's degree in Healthcare Administration, Business Administration, Economics, Statistics, Data Science, or related field.
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Develop ETL/ELT processes and patterns to efficiently move data. Develop data solutions leveraging traditional and cloud product offerings from leading vendors. Develop data models to meet client needs, including transactional, third-normal form, dimensional, columnar, distributed and NoSQL.
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Optimize ThoughtSpot performance through efficient data modeling, data loading, and query optimization techniques. The ideal candidate will have a strong background in data analytics, experience with ThoughtSpot, and a passion for leveraging data to drive business insights.
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2+ years designing and developing data analytics solutions. Create data visualizations, dashboards and reports as needed. Develop data models to meet client needs. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery.
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They 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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Work closely with data engineers and administrators to ensure seamless integration of ThoughtSpot with existing data infrastructure. Minimum of 1 year of experience working with ThoughtSpot, including data modeling, worksheet creation, and pinboard design.
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Prior data visualization experience in tools such as Tableau, PowerBI, Python/R libraries, or similar tools. Ideal candidates will have solid SQL experience with end-to-end data experience including discovery, extraction, manipulation, blending, and visualization.
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Design, develop, and implement ThoughtSpot data models, worksheets, and pinboards to visualize and analyze data effectively. Experience with Snowflake. We are hiring a ThoughtSpot Developer to take on a 6+ month contract on a remote basis.
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Proficient with querying relational databases (e.g., SQL), big data service (e.g., Redshift or Big Query) and utilizing data visualization tools (e.g., Tableau) to interpret and present data insights.
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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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