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ETL Automation: Alteryx. Code-Based: Python (R acceptable but not preferred). Top Tier Management Consulting firm is looking to continue to build their Strategic Finance team, is looking for a Senior Manager Data and Analytics - this is a National Practice and can sit in any major market.
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Using ETL (Extract, Transform and Load), and having experience with Alteryx, Power Query and / or other agile technologies preferred; and, Possessing knowledge of and having exposure to basic programming: Python, SQL, or other languages.
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Strong knowledge and experience with ETL tools like Power Query, Azure Data Factory, FiveTran, Stitch, Alteryx, and languages like SQL, Python, or R. Acts as product owner for end-to-end business intelligence solutions, from ETL to visualization.
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You and your team will collaborate with internal and external customers and our affiliate companies, empowering them to solve business problems and gain powerful insights using high-performance datasets, enterprise analytics systems, and self-service tools such as Snowflake, Alteryx, R, Python, and Power BI.
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2+ years of experience in ETL design and implementation using Informatica/Alteryx/Tableau Prep. As we expand into other platforms, build and implement data prototypes across diverse technology platforms i.e. Snowflake, Oracle databases, Python and Tableau.
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The Senior Data Analyst is accountable for compiling information in an insightful manner across multiple systems and solutions to improve outcomes and lower costs utilizing Snowflake, Alteryx, PowerBi, SQL, R and Python.
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Advanced ETL skills (e.g. Kettle, MS SSIS (SQL Server Integration Services), Alteryx, KNIME, etc.) Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications.
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Ability to use ETL tools (such as Alteryx) and visualization tools (Microsoft Power BI). By means of data analytics, you are expected to have an extensive level of ability and proven skills in various tools such as Alteryx, SQL, Python, and Excel in addition to data visualization tools such as Power BI. This role will allow you to combine your technical knowledge, data analytics and data visualization skills to drive highly valuable business and commercial insights to our clients.
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Working knowledge of performing data ETL (Extract, Transform and Load), and experience with SQL, Alteryx, Power Query and other agile technologies; Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc.
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DE performing Extract Transform Load (ETL) on Cloud native data warehousing solutions using analytical tools (Alteryx) and programming languages (Python); building and maintaining data pipelines utilizing Python, CronTab, Linux server, and Jupyter Notebook; and creating scalable visual analytics dashboards using Tableau and Looker.
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Experience must include: SQL and Database Management Skills, Markup/Markup Schemas (HTML), Object Oriented Programing Python, ETL Tools Alteryx. Data management technologies and Data Visualization Tools, Qlikview/Tableau and proficiency in DevOps Solutions Jira. The expected base salary for this position ranges from $164,570 to $170,000.
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3+ years leveraging and maintaining ETL tooling – such as Glue, Alteryx or any other related ETL (extract, transform, load) tools – and/or. Front End skills and familiarity with the following toolkit - AWS Amplify, Cloudfront, React, Vue, Node, proficiency in HTML, CSS, JavaScript, Python, HTTP, REST APIs, Git, Docker, Cloudformation, YAML, CodeCommit, authentication/authorization practices, and jQuery.
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Leveraging experience with basic programming: Python, R, SQL, Matlab, C. Utilizing advanced skills in the following: Alteryx, Tableau and Excel; Leveraging experience with basic programming: Python, R, SQL, Matlab, C.
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Experience with programming languages skills (e.g. JavaScript, Python, and R etc. Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling. Experience with Snowflake warehousing platform.
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Sales and digital marketing teams, using MS Excel, Alteryx, Tableau and Python; and conducting performance analysis on marketing and promotional campaigns to effectively measure the return on investment based on key indicators using Google Analytics, Facebook analytics, Spotify Analytics, and YouTube Analytics.
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