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Experience with data visualization tools such as PowerBI and Tableau is preferred. As a Data Specialist, you'll collaborate closely with Analysts to prepare and manipulate data from various sources, including Excel, Access, and SQL.
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The team is responsible for Snowflake, Tableau, RDBMS systems like SQL Server and Postgres, automation for database deployments against these systems, and, in general, patterns and practices that advance our capability to process data.
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Proficient with Excel, SQL and Tableau. Responsible for inventory control and update on SQL. Taking part in master data quality improvement activities through analysis and remediation of data quality issues.
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Experience with Microsoft Power BI, Tableau, Google Data Studio, Blackboard, SharePoint, Access, Visio, SQL, Pyramid Analytics, Monday.com, or Python. Experience with Microsoft Power BI, Tableau, Google Data Studio, Blackboard, SharePoint, Access, Visio, SQL, Pyramid Analytics, Monday.com, or Python.
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Expert skills with SQL Expert understanding of best design and implementation practices in Tableau desktop and server. Oversee the creation of automated, customer-readable reports using tools such as Tableau and Excel.
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Proficient in Web Analytics (GA), Tag Manager (GTM), Snowflake, Tableau, SQL, and advanced analytic tools (SAS, R, Python). Proficiency in Oracle, Salesforce, Tableau, Snowflake.
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Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Wellbeing: Sanctus Coaching, Headspace mindfulness app, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day.
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Experience with generating meaningful insights through data visualization tools (Power BI/Tableau/SQL) Experience with generating meaningful insights through data visualization tools (Power BI/Tableau/SQL.
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Strong presentation and storytelling skills with data visualization (tableau, python) Advanced understanding of Database Marketing, Database Architecture, and SQL. Minimum 4+ years of experience with Customer Data Platforms outside of Salesforce (Teradata, APRIMO, Unica, etc.
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Using data visualization tools such as Tableau and/or Power BI; Utilizing SAS or SQL for data mining; Predictive modeling/estimation to analyze outcomes in areas such as Loss forecasting, ALLL/ACL, Stress testing, or other adjacent areas with consumer credit impairment estimation.
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Hands on full stack proficiency (e.g., Java, SQL, React, JavaScript etc.) Experience in any of reporting tools like Power BI, Business objects, Cognos or Tableau. Data & Analytics experience:Experience in SQL, Java or Python programming.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.
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The solutions will be created using SQL, Excel / power pivot, or other database environments to consolidate financial and IT tracking data into reports, dashboards, SharePoint sites and document repositories.
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Proficiency in spreadsheets, databases, other software programs (Morningstar Direct, Microsoft Office, FactSet, Bloomberg, BlackRock Aladdin, Tableau, etc.) or programming languages (Python, R, SQL.
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Expertise in building ELT pipelines, Kafka, data transformation tools (eg, dbt), and modern BI platforms (eg, Looker, Tableau), GitHub, AWS, SQL, and strong proficiency in Python as well as analytics databases (e.g., Snowflake or another columnar DB) and associated pipelines.
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