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Candidate should have comfort with working with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, Hadoop, Spark SQL, Tableau, etc. Candidate should have comfort with working with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, Hadoop, Spark SQL, Tableau, etc.
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Visualization skills with tools such Tableau, Power BI , or R Shiny. Proficiency in an analytics programming language, such as R, Python, or SAS (Statistical Analysis System) This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
$71,800 - $107,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Professional experience in writing complex database queries (ideally Google Bigquery), and using data visualization tools such as Gsheets/Excel, Data Studio, Looker, Tableau or PowerBI. Knowledge in writing code in structured programming languages (Python, R) is a big plus.
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Our technical stack includes Snowflake, dbt, Python and Tableau. At a technical level, this role will create SQL data models in dbt, perform EDA in pandas, build ML models and libraries in Python, and visualize success metrics in Tableau, all in about equal proportion.
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Familiarity with data exploration/data visualization tools like Tableau, PeopleSoft EPM, Web Focus, Oracle Business Intelligence, or Oracle Analytics Cloud. Ability to write, edit, and understand SQL statements, Python code, or R Programming.
$140,000 - $155,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team is a mix of data managers, data scientists, reporting data analysts, SQL/MS Office/Tableau/PowerBI/Python/R programming experts, statisticians, actuaries, and custom solution architects.
$118,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation tools like Pandas, NumPy, or equivalent. Experience using visualization tools such as Tableau or PowerBI, and data analysis tools, such as Google Analytics.
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Able to perform quantitative analysis using appropriate analytical and visualization tools such as Python, Tableau and open source libraries. Implement data science models and visualizations using Python, Tableau and open source libraries.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You will be responsible for building out a holistic view of seller risk performance, identifying potential risks and supporting controls by leveraging analytics insights and tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
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No H1B Business Analyst (SQL, Tableau, Python) ( Marketing / advertising is a plus) WALMART Location: San Bruno, CA AND Hoboken, NJ PAY RATE: $55/HR C2C Questions to assist with supplier sourcing: What are the top 3 skills needed/required.
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Tableau and Python DASH nice to have. Our senior-level developer must also have Python Development experience reason for this is that they must be able to trouble-shoot the backend APIs when they encounter issues.
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Sophisticated knowledge of Microsoft Office is required; proven understanding in SQL, Tableau, Salesforce, and statistical languages such as R and Python is preferred. Build, maintain, and audit the internal business intelligence suite across Tableau and other potential platforms; construct and lead all aspects of quality control standards and checks for data and reporting.
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Working knowledge of Tableau (or other data visualization tools) and SharePoint. Familiarity with modern software languages (R+, Python). Working knowledge of Tableau (or other data visualization tools) and SharePoint.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with analytical tools such as Python, R, SAS, Adobe, Alteryx, Knime. Experience with tools such as PowerBI, Tableau, Superset, Microstrategy, Qlik, etc. Experience with analytical tools such as Python, R, SAS, Adobe, Alteryx, Knime.
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with data visualization tools (e.g. Tableau, Power BI) Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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